Karl Svozil
2001-06-29T23:59:59.000Z
Three extensions and reinterpretations of nonclassical probabilities are reviewed. (i) We propose to generalize the probability axiom of quantum mechanics to self-adjoint positive operators of trace one. Furthermore, we discuss the Cartesian and polar decomposition of arbitrary normal operators and the possibility to operationalize the corresponding observables. Thereby we review and emphasize the use of observables which maximally represent the context. (ii) In the second part, we discuss Pitowsky polytopes for automaton logic as well as for generalized urn models and evaluate methods to find the resulting Boole-Bell type (in)equalities. (iii) Finally, so-called ``parameter cheats'' are introduced, whereby parameters are transformed bijectively and nonlinearly in such a way that classical systems mimic quantum correlations and vice versa. It is even possible to introduce parameter cheats which violate the Boole-Bell type inequalities stronger than quantum ones, thereby trespassing the Tsirelson limit. The price to be paid is nonuniformity.
Jayaram, Bhyravabotla
Solvation Free Energy of Biomacromolecules: Parameters for a Modified Generalized Born Model provides rapid estimates of the electrostatic free energies of solvation for diverse molecules of parameters compatible with the AMBER force field is described. The method is used to estimate free energies
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Main Parameters APS Storage Ring Parameters M. Borland, G. Decker, L. Emery, W. Guo, K. Harkay, V. Sajaev, C.-Y. Yao Advanced Photon Source September 8, 2010 This document list the...
Convolution particle filtering for parameter estimation in general state-space models
Paris-Sud XI, UniversitÃ© de
of these aspects [6] [4]. The second approach takes place in a classical Bayesian framework, a prior probability suited, given the context of parameter estimation. Firstly the usual non Bayesian statistical estimates results in practice but suffer from an absence of theoretical backing. The particle filters propose a good
Pavement Thickness Design Parameter
Pavement Thickness Design Parameter Impacts 2012 Municipal Streets Seminar November 14, 2012 Paul D. Wiegand, P.E. #12;Pavement Thickness Design · How do cities decide how thick to build their pavements;Pavement Thickness Design · Correct answer A data-based analysis! · Doesn't have to be difficult and time
G. Dillon; G. Morpurgo
2010-01-26T23:59:59.000Z
After summarizing the basic points of the general QCD parametrization (GP) we discuss systematically its applications to the properties of the lowest families of baryons and mesons. We show how the hierarchy of the parameters in the GP emerges clearly in the properties of hadrons. Among other things, it explains why simple models can work reasonably well and clarifies the relationship between current and constituent quarks. More details on the hadron properties discussed with the GP appear from the list of secrions at the beginning of the paper.
Parameterizing the Deceleration Parameter
Diego Pavón; Ivan Duran; Sergio del Campo; Ramón Herrera
2012-12-31T23:59:59.000Z
We propose and constrain with the latest observational data three parameterizations of the deceleration parameter, valid from the matter era to the far future. They are well behaved and do not diverge at any redshift. On the other hand, they are model independent in the sense that in constructing them the only assumption made was that the Universe is homogeneous and isotropic at large scales.
The energy balancing parameter
Walton R. Gutierrez
2011-05-10T23:59:59.000Z
A parameter method is introduced in order to estimate the relationship among the various variables of a system in equilibrium, where the potential energy functions are incompletely known or the quantum mechanical calculations very difficult. No formal proof of the method is given; instead, a sufficient number of valuable examples are shown to make the case for the method's usefulness in classical and quantum systems. The mathematical methods required are quite elementary: basic algebra and minimization of power functions. This method blends advantageously with a simple but powerful approximate method for quantum mechanics, sidestepping entirely formal operators and differential equations. It is applied to the derivation of various well-known results involving centrally symmetric potentials for a quantum particle such as the hydrogen-like atom, the elastic potential and other cases of interest. The same formulas provide estimates for previously unsolved cases. PACS: 03.65.-w 30.00.00
LUNAR SOIL SIMULATION TRAFFICABILITY PARAMETERS
Rathbun, Julie A.
LUNAR SOIL SIMULATION and TRAFFICABILITY PARAMETERS by W. David Carrier, III Lunar Geotechnical.0 RECOMMENDED LUNAR SOIL TRAFFICABILITY PARAMETERS Table 9.14 in the Lunar Sourcebook (Carrier et al. 1991, p. 529) lists the current recommended lunar soil trafficability parameters: bc = 0.017 N/cm2 bN = 35° K
Subsurface Geotechnical Parameters Report
D. Rigby; M. Mrugala; G. Shideler; T. Davidsavor; J. Leem; D. Buesch; Y. Sun; D. Potyondy; M. Christianson
2003-12-17T23:59:59.000Z
The Yucca Mountain Project is entering a the license application (LA) stage in its mission to develop the nation's first underground nuclear waste repository. After a number of years of gathering data related to site characterization, including activities ranging from laboratory and site investigations, to numerical modeling of processes associated with conditions to be encountered in the future repository, the Project is realigning its activities towards the License Application preparation. At the current stage, the major efforts are directed at translating the results of scientific investigations into sets of data needed to support the design, and to fulfill the licensing requirements and the repository design activities. This document addresses the program need to address specific technical questions so that an assessment can be made about the suitability and adequacy of data to license and construct a repository at the Yucca Mountain Site. In July 2002, the U.S. Nuclear Regulatory Commission (NRC) published an Integrated Issue Resolution Status Report (NRC 2002). Included in this report were the Repository Design and Thermal-Mechanical Effects (RDTME) Key Technical Issues (KTI). Geotechnical agreements were formulated to resolve a number of KTI subissues, in particular, RDTME KTIs 3.04, 3.05, 3.07, and 3.19 relate to the physical, thermal and mechanical properties of the host rock (NRC 2002, pp. 2.1.1-28, 2.1.7-10 to 2.1.7-21, A-17, A-18, and A-20). The purpose of the Subsurface Geotechnical Parameters Report is to present an accounting of current geotechnical information that will help resolve KTI subissues and some other project needs. The report analyzes and summarizes available qualified geotechnical data. It evaluates the sufficiency and quality of existing data to support engineering design and performance assessment. In addition, the corroborative data obtained from tests performed by a number of research organizations is presented to reinforce conclusions derived from the pool of data gathered within a full QA-controlled domain. An evaluation of the completeness of the current data is provided with respect to the requirements for geotechnical data to support design and performance assessment.
CANNELL, G.R.
2006-09-11T23:59:59.000Z
Spent Nuclear Fuel (SNF) from the Oregon State University (OSU) TRIGA{reg_sign} Reactor is currently being stored in thirteen 55-gallon drums at the Hanford Site's low-level burial grounds. This fuel is soon to be retrieved from buried storage and packaged into new containers (overpacks) for interim storage at the Hanford Interim Storage Area (ISA). One of the key activities associated with this effort is final closure of the overpack by welding. The OSU fuel is placed into an overpack, a head inserted into the overpack top, and welded closed. Weld quality, for typical welded fabrication, is established through post-weld testing and nondestructive examination (NDE); however, in this case, once the SNF is placed into the overpack, routine testing and NDE are not feasible. An alternate approach is to develop and qualify the welding process/parameters, demonstrate beforehand that they produce the desired weld quality, and then verify parameter compliance during production welding. Fluor engineers have developed a Gas Tungsten Arc Welding (GTAW) technique and parameters, demonstrating that weld quality requirements for closure of packaged SNF overpacks are met, using this alternate approach. The following reviews the activities performed for this development and qualification effort.
Parameter 4 | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympiaAnalysis) JumpPalcan sPaquin Energy andParameter
Cosmological parameter estimation: impact of CMB aberration
Catena, Riccardo [Institut für Theoretische Physik, Friedrich-Hund-Platz 1, 37077 Göttingen (Germany); Notari, Alessio, E-mail: riccardo.catena@theorie.physik.uni-goettingen.de, E-mail: notari@ffn.ub.es [Departament de Física Fondamental i Institut de Ciéncies del Cosmos, Universitat de Barcelona, Martí i Franqués 1, 08028 Barcelona (Spain)
2013-04-01T23:59:59.000Z
The peculiar motion of an observer with respect to the CMB rest frame induces an apparent deflection of the observed CMB photons, i.e. aberration, and a shift in their frequency, i.e. Doppler effect. Both effects distort the temperature multipoles a{sub lm}'s via a mixing matrix at any l. The common lore when performing a CMB based cosmological parameter estimation is to consider that Doppler affects only the l = 1 multipole, and neglect any other corrections. In this paper we reconsider the validity of this assumption, showing that it is actually not robust when sky cuts are included to model CMB foreground contaminations. Assuming a simple fiducial cosmological model with five parameters, we simulated CMB temperature maps of the sky in a WMAP-like and in a Planck-like experiment and added aberration and Doppler effects to the maps. We then analyzed with a MCMC in a Bayesian framework the maps with and without aberration and Doppler effects in order to assess the ability of reconstructing the parameters of the fiducial model. We find that, depending on the specific realization of the simulated data, the parameters can be biased up to one standard deviation for WMAP and almost two standard deviations for Planck. Therefore we conclude that in general it is not a solid assumption to neglect aberration in a CMB based cosmological parameter estimation.
Measuring neutrino oscillation parameters using $\
Backhouse, Christopher James; /Oxford U.
2011-02-01T23:59:59.000Z
MINOS is a long-baseline neutrino oscillation experiment. It consists of two large steel-scintillator tracking calorimeters. The near detector is situated at Fermilab, close to the production point of the NuMI muon-neutrino beam. The far detector is 735 km away, 716m underground in the Soudan mine, Northern Minnesota. The primary purpose of the MINOS experiment is to make precise measurements of the 'atmospheric' neutrino oscillation parameters ({Delta}m{sub atm}{sup 2} and sin{sup 2} 2{theta}{sub atm}). The oscillation signal consists of an energy-dependent deficit of {nu}{sub {mu}} interactions in the far detector. The near detector is used to characterize the properties of the beam before oscillations develop. The two-detector design allows many potential sources of systematic error in the far detector to be mitigated by the near detector observations. This thesis describes the details of the {nu}{sub {mu}}-disappearance analysis, and presents a new technique to estimate the hadronic energy of neutrino interactions. This estimator achieves a significant improvement in the energy resolution of the neutrino spectrum, and in the sensitivity of the neutrino oscillation fit. The systematic uncertainty on the hadronic energy scale was re-evaluated and found to be comparable to that of the energy estimator previously in use. The best-fit oscillation parameters of the {nu}{sub {mu}}-disappearance analysis, incorporating this new estimator were: {Delta}m{sup 2} = 2.32{sub -0.08}{sup +0.12} x 10{sup -3} eV{sup 2}, sin {sup 2} 2{theta} > 0.90 (90% C.L.). A similar analysis, using data from a period of running where the NuMI beam was operated in a configuration producing a predominantly {bar {nu}}{sub {mu}} beam, yielded somewhat different best-fit parameters {Delta}{bar m}{sup 2} = (3.36{sub -0.40}{sup +0.46}(stat.) {+-} 0.06(syst.)) x 10{sup -3}eV{sup 2}, sin{sup 2} 2{bar {theta}} = 0.86{sub -0.12}{sup _0.11}(stat.) {+-} 0.01(syst.). The tension between these results is intriguing, and additional antineutrino data is currently being taken in order to further investigate this apparent discrepancy.
System and method for motor parameter estimation
Luhrs, Bin; Yan, Ting
2014-03-18T23:59:59.000Z
A system and method for determining unknown values of certain motor parameters includes a motor input device connectable to an electric motor having associated therewith values for known motor parameters and an unknown value of at least one motor parameter. The motor input device includes a processing unit that receives a first input from the electric motor comprising values for the known motor parameters for the electric motor and receive a second input comprising motor data on a plurality of reference motors, including values for motor parameters corresponding to the known motor parameters of the electric motor and values for motor parameters corresponding to the at least one unknown motor parameter value of the electric motor. The processor determines the unknown value of the at least one motor parameter from the first input and the second input and determines a motor management strategy for the electric motor based thereon.
Galaxy Structural Parameters in Source Extractor
B. W. Holwerda
2007-10-16T23:59:59.000Z
Over the last decade, the Concentration, Asymmetry and Smoothness (CAS), as well as the M20 and GINI parameters have become popular to automatically classify distant galaxies in images. Ellipticals, spirals and irregular galaxies all appear to occupy different regions of this parameter space. At the same time, the Source Extractor (SE) program has become the mainstay to produce ob ject catalogs from large image surveys. A logical next step would be to incorporate the structural parameters into the Source Extractor software. There are however several problems that arise: 1) the CAS parameters are fits to the images and Source Extractor eschews fits in the interest of speed, 2) the definition of the structural parameters changed over time. Now that there is a clear and agreed-upon definition of the structural parameters, I am incorporating computed versions in the Source Extractor code (v2.5). The fitted CAS parameters are available for the GOODS-N/S fields and I compare the computed structural parameters to those found by the previous fits. My goal is to expand the source structure information in Source Extractor catalogs in order to improve automatic identification of sources, specifically of distant galaxies. The computed parameters perform reasonably close to the fitted versions but noise appears in faint ob jects due to a lack of information. For a subset of objects, the asymmetry signal is outside the SE boundaries and Smoothness still fails to compute for many ob jects. Type classification based on the SE parameters still lacks resolving power.
Two-Parameter Dynamics and Geometry
Zhi Hu; Mulin Yan; Sen Hu
2015-01-10T23:59:59.000Z
In this paper we present the two-parameter dynamics which is implied by the law of inertia in flat spacetime. A remarkable perception is that (A)dS4 geometry may emerge from the two-parameter dynamics, which exhibits some phenomenon of dynamics/ geometry correspondence. We also discuss the Unruh effects within the context of two-parameter dynamics. In the last section we construct various invariant actions with respect to the broken symmetry groups.
Uncertainty evaluation of delayed neutron decay parameters
Wang, Jinkai
2009-05-15T23:59:59.000Z
.......... 80 Figure 6.1 Fitted E2 from Different Algorithms (Saturation Mode)................... 85 Figure 6.2 Standard Deviations of Fitted Parameter Ratios (Saturation Mode). 92 Figure 6.3 Standard Deviations of Fitted Parameter Ratios (Pulse Mode...)......... 92 Figure 6.4 Standard Deviations of Fitted Parameter Ratios with Group-1 Fixed (Pulse Mode) ........................................................................... 93 Figure 6.5 The Ratios of Different Data Sets to Keepin?s Values...
Sandia National Laboratories: main parameter determining laminate...
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parameter determining laminate fatigue lifetime is the cumulative time under load New Material Tests Show Biaxial Laminate Creep Is Important for Large Wind-Turbine Blades On...
Experimental Investigation of Effect of Injection Parameters...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Experimental Investigation of Effect of Injection Parameters, Compression Ratio and Ultra-cooled EGR on CI Engine Performance and Emissions Low temperature combustion,...
ONE-PARAMETER CONTINUOUS FIELDS OF KIRCHBERG ...
2008-09-05T23:59:59.000Z
One-parameter separable unital continuous fields of Kirchberg algebras (nuclear purely infinite simple C*-algebras) with torsion free Ki-groups and trivial ...
Extragalactic database. VII Reduction of astrophysical parameters
G. Paturel; H. Andernach; L. Bottinelli; H. Di Nella; N. Durand; R. Garnier; L. Gouguenheim; P. Lanoix; M. C. Marthinet; C. Petit; J. Rousseau; G. Theureau; I. Vauglin
1998-06-10T23:59:59.000Z
The Lyon-Meudon Extragalactic database (LEDA) gives a free access to the main astrophysical parameters for more than 100,000 galaxies. The most common names are compiled allowing users to recover quickly any galaxy. All these measured astrophysical parameters are first reduced to a common system according to well defined reduction formulae leading to mean homogeneized parameters. Further, these parameters are also transformed into corrected parameters from widely accepted models. For instance, raw 21-cm line widths are transformed into mean standard widths after correction for instrumental effect and then into maximum velocity rotation properly corrected for inclination and non-circular velocity. This paper presents the reduction formulae for each parameter: coordinates, morphological type and luminosity class, diameter and axis ratio, apparent magnitude (UBV, IR, HI) and colors, maximum velocity rotation and central velocity dispersion, radial velocity, mean surface brightness, distance modulus and absolute magnitude, and group membership. For each of these parameters intermediate quantities are given: galactic extinction, inclination, K-correction etc.. All these parameters are available from direct connexion to LEDA (telnet lmc.univ-lyon1.fr, login: leda, no passwd OR http://www-obs.univ-lyon1.fr/leda ) and distributed on a standard CD-ROM (PGC-ROM 1996) by the Observatoire de Lyon via the CNRS (mail to petit@obs.univ-lyon1.fr).
The Parameter Space of Galaxy Formation
Bower, R G; Goldstein, M; Benson, A J; Lacey, C G; Baugh, C M; Cole, S; Frenk, C S; .,
2010-01-01T23:59:59.000Z
Semi-analytic models are a powerful tool for studying the formation of galaxies. However, these models inevitably involve a significant number of poorly constrained parameters that must be adjusted to provide an acceptable match to the observed universe. In this paper, we set out to quantify the degree to which observational data-sets can constrain the model parameters. By revealing degeneracies in the parameter space we can hope to better understand the key physical processes probed by the data. We use novel mathematical techniques to explore the parameter space of the GALFORM semi-analytic model. We base our investigation on the Bower et al. 2006 version of GALFORM, adopting the same methodology of selecting model parameters based on an acceptable match to the local bJ and K luminosity functions. The model contains 16 parameters that are poorly constrained, and we investigate this parameter space using the Model Emulator technique, constructing a Bayesian approximation to the GALFORM model that can be rapid...
How to fool CMB parameter estimation
William H. Kinney
2000-05-19T23:59:59.000Z
With the release of the data from the Boomerang and MAXIMA-1 balloon flights, estimates of cosmological parameters based on the Cosmic Microwave Background (CMB) have reached unprecedented precision. In this paper I show that it is possible for these estimates to be substantially biased by features in the primordial density power spectrum. I construct primordial power spectra which mimic to within cosmic variance errors the effect of changing parameters such as the baryon density and neutrino mass, meaning that even an ideal measurement would be unable to resolve the degeneracy. Complementary measurements are necessary to resolve this ambiguity in parameter estimation efforts based on CMB temperature fluctuations alone.
Thermophysical parameters of the LBO crystal
Grechin, Sergei G [Scientific-Research Institute of Radioelectronics and Laser Technology at the N.E. Bauman Moscow State Technical University, Moscow (Russian Federation); Zuev, A V; Fokin, A S [All-Russian Scientific Research Institute of Aviation Materials, Moscow (Russian Federation); Kokh, Aleksandr E [V.S.Sobolev Institute of Geology and Mineralogy, Siberian Branch, Russian Academy of Sciences, Novosibirsk (Russian Federation); Moiseev, N V; Popov, Petr A; Sidorov, Aleksei A [Acad. I. G. Petrovskii Bryansk State University, Bryansk (Russian Federation)
2010-08-27T23:59:59.000Z
The thermophysical parameters (linear thermal expansion coefficients, thermal conductivities, and heat capacity) of the lithium triborate (LBO) crystal are measured and compared with previously published data. (nonlinear-optics phenomena)
Integral data analysis for resonance parameters determination
Larson, N.M.; Leal, L.C.; Derrien, H.
1997-09-01T23:59:59.000Z
Neutron time-of-flight experiments have long been used to determine resonance parameters. Those resonance parameters have then been used in calculations of integral quantities such as Maxwellian averages or resonance integrals, and results of those calculations in turn have been used as a criterion for acceptability of the resonance analysis. However, the calculations were inadequate because covariances on the parameter values were not included in the calculations. In this report an effort to correct for that deficiency is documented: (1) the R-matrix analysis code SAMMY has been modified to include integral quantities of importance, (2) directly within the resonance parameter analysis, and (3) to determine the best fit to both differential (microscopic) and integral (macroscopic) data simultaneously. This modification was implemented because it is expected to have an impact on the intermediate-energy range that is important for criticality safety applications.
Language model parameter estimation using user transcriptions
Hsu, Bo-June
In limited data domains, many effective language modeling techniques construct models with parameters to be estimated on an in-domain development set. However, in some domains, no such data exist beyond the unlabeled test ...
Compressing measurements in quantum dynamic parameter estimation
Magesan, Easwar
We present methods that can provide an exponential savings in the resources required to perform dynamic parameter estimation using quantum systems. The key idea is to merge classical compressive sensing techniques with ...
Parameters and error of a theoretical model
Moeller, P.; Nix, J.R.; Swiatecki, W.
1986-09-01T23:59:59.000Z
We propose a definition for the error of a theoretical model of the type whose parameters are determined from adjustment to experimental data. By applying a standard statistical method, the maximum-likelihoodlmethod, we derive expressions for both the parameters of the theoretical model and its error. We investigate the derived equations by solving them for simulated experimental and theoretical quantities generated by use of random number generators. 2 refs., 4 tabs.
adaptive parameter estimation: Topics by E-print Network
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Tokamak Heat Computer Technologies and Information Sciences Websites Summary: . Keywords: Thermonuclear fusion, distributed parameter systems, input state and parameter estimation,...
Pico: Parameters for the Impatient Cosmologist
William A. Fendt; Benjamin D. Wandelt
2006-06-29T23:59:59.000Z
We present a fast, accurate, robust and flexible method of accelerating parameter estimation. This algorithm, called Pico, can compute the CMB power spectrum and matter transfer function as well as any computationally expensive likelihoods in a few milliseconds. By removing these bottlenecks from parameter estimation codes, Pico decreases their computational time by 1 or 2 orders of magnitude. Pico has several important properties. First, it is extremely fast and accurate over a large volume of parameter space. Furthermore, its accuracy can continue to be improved by using a larger training set. This method is generalizable to an arbitrary number of cosmological parameters and to any range of l-values in multipole space. Pico is approximately 3000 times faster than CAMB for flat models, and approximately 2000 times faster then the WMAP 3 year likelihood code. In this paper, we demonstrate that using Pico to compute power spectra and likelihoods produces parameter posteriors that are very similar to those using CAMB and the official WMAP3 code, but in only a fraction of the time. Pico and an interface to CosmoMC are made publicly available at http://www.astro.uiuc.edu/~bwandelt/pico/.
Constraining Orbital Parameters Through Planetary Transit Monitoring
Stephen R. Kane; Kaspar von Braun
2008-08-13T23:59:59.000Z
The orbital parameters of extra-solar planets have a significant impact on the probability that the planet will transit the host star. This was recently demonstrated by the transit detection of HD 17156b whose favourable eccentricity and argument of periastron dramatically increased its transit likelihood. We present a study which provides a quantitative analysis of how these two orbital parameters affect the geometric transit probability as a function of period. Further, we apply these results to known radial velocity planets and show that there are unexpectedly high transit probabilities for planets at relatively long periods. For a photometric monitoring campaign which aims to determine if the planet indeed transits, we calculate the expected transiting planet yield and the significance of a potential null result, as well as the subsequent constraints that may be applied to orbital parameters.
Particle-hole symmetry parameters for nuclei
Ian Bentley
2015-03-10T23:59:59.000Z
Two parameters, nu and zeta, motivated by particle-hole symmetry are introduced. These parameters are determined using the number of proton (or neutron) particles and holes counted from neighboring shell closures. The new parameters can be used to evaluate particle-hole and proton-neutron symmetries of adopted B(E2) values, which indicate that both symmetries are approximate for A>100. The combined symmetries motivate empirical fits of binding energies and the energy ratio E(4_1^+)/E(2_1^+). A global binding energy fit consisting of a traditional liquid droplet and one new shell term, comprised of a function of nu and zeta, reproduces the experimental binding energies of 2353 nuclei with an r.m.s. standard deviation of 1.55 MeV.
Dual order parameters and the deconfinement transition
Christian S. Fischer; Jens A. Mueller
2009-10-29T23:59:59.000Z
We investigate the chiral and the deconfinement transition within the framework of Dyson-Schwinger equations using quenched lattice data for the temperature dependent gluon propagator as input. We extract corresponding order parameters from the Landau gauge quark propagator with U(1)-valued boundary conditions. We study the chiral transition using the conventional quark condensate, whereas for the deconfinement transition we determine the dual condensate ('dressed Polyakov loop'). In addition we consider an alternative order parameter for deconfinement, the dual scalar quark dressing function. As a result we find almost the same transition temperatures for the chiral and deconfinement transitions.
Black nickel selective absorber, optimization of parameters
Akinoglu, B.; Cercioglu, V.; Ecevit, A.
1983-12-01T23:59:59.000Z
Electroplated black nickel selective absorber is one of the most commercially used element of solar energy systems. Electrodeposition parameters such as time of deposition, pH, current density, electrolyte temperature should be optimized to produce the most efficient selective absorber. The topology of the substrate material is very effective on selectivity and it should also be optimized. In this study, by controlling the conditions of electrodeposition black nickel selective absorbers are produced and their reflectivities are measured. The effects of the electrodeposition parameters together with the topology of the substrate, on the selective properties are investigated.
Parameters of charmonium states from KEDR
Aulchenko, V M; Barladyan, A K; Barnyakov, A Yu; Barnyakov, M Yu; Baru, S E; Basok, I Yu; Batrakov, A M; Blinov, A E; Blinov, V E; Bobrov, A V; Bobrovnikov, V S; Bogomyagkov, A V; Bondar, A E; Buzykaev, A R; Eidelman, S I; Grigoriev, D N; Groshev, V R; Glukhovchenko, Yu M; Gulevich, V V; Gusev, D V; Karnaev, S E; Karpov, G V; Karpov, S V; Kharlamova, T A; Kiselev, V A; Kolmogorov, V V; Kononov, S A; Kotov, K Yu; Kravchenko, E A; Kudryavtsev, V N; Kulikov, V F; Kurkin, G Ya; Kuper, E A; Kuyanov, I A; Levichev, E B; Maksimov, D A; Malyshev, V M; Maslennikov, A L; Meshkov, O I; Mishnev, S I; Morozov, I I; Muchnoi, N Yu; Neufeld, V V; Nikitin, S A; Nikolaev, I B; Okunev, I N; Onuchin, A P; Oreshkin, S B; Orlov, I O; Osipov, A A; Ovtin, I V; Peleganchuk, S V; Pivovarov, S G; Piminov, P A; Petrov, V V; Poluektov, A O; Prisekin, V G; Rezanova, O L; Ruban, A A; Sandyrev, V K; Savinov, G A; Shamov, A G; Shatilov, D N; Shwartz, B A; Simonov, E A; Sinyatkin, S V; Skrinsky, A N; Sokolov, A V; Sukharev, A M; Starostina, E V; Talyshev, A A; Tayursky, V A; Telnov, V I; Tikhonov, Yu A; Todyshev, K Yu; Tumaikin, G M; Usov, Yu V; Vorobiov, A I; Zhilich, V N; Zhulanov, V V; Zhuravlev, A N
2013-01-01T23:59:59.000Z
We report results of experiments performed with the KEDR detector at the VEPP-4M $e^+e^-$ collider. They include final results for the mass and other parameters of the $J/\\psi$, $\\psi(2S)$ and $\\psi(3770)$ and $J/\\psi\\to\\gamma\\eta_c$ branching fraction determination.
Models and parameters for environmental radiological assessments
Miller, C W [ed.] [ed.
1984-01-01T23:59:59.000Z
This book presents a unified compilation of models and parameters appropriate for assessing the impact of radioactive discharges to the environment. Models examined include those developed for the prediction of atmospheric and hydrologic transport and deposition, for terrestrial and aquatic food-chain bioaccumulation, and for internal and external dosimetry. Chapters have been entered separately into the data base. (ACR)
PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING
Ewing, Richard E.
PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING R.E. Ewing, M.S. Pilant, J.G. Wade the location and subsequent remediation of contaminants in groundwater to the optimization of production on grand challenge problems. In today's petroleum industry, reservoir simulators are routinely used
Modeling and Parameter Estimation of Interpenetrating
Grossmann, Ignacio E.
Modeling and Parameter Estimation of Interpenetrating Polymer Network ProcessPolymer Network, PA 15213 #12;Interpenetrating Polymer Network Processp g y Monomer Initiator P l i ti tPolymerization reactor Seed particle Monomer droplet Aqueous mediaq Seed Polymer A Monomer B Seed Polymer A 2Fig 1. Seed
SWOT Satellite Mission: Combined State Parameter Estimation
Washington at Seattle, University of
-parameter estimation problem Data assimilation experiments Water depth Discharge Channel width Roughness coefficient #12;3 Need for a surface water mission Importance to hydrology gauge measurements insufficient hydraulics Amazon Siberia Ohio #12;4 Global gauge measurements #12;5 SWOT Technology These surface water
Generic Structures in Parameter Space and Ratchet Transport
Alan Celestino; Cesar Manchein; Holokx A. Albuquerque; Marcus W. Beims
2011-11-06T23:59:59.000Z
This work reports the existence of Isoperiodic Stable Ratchet Transport Structures in the parameter spaces dissipation versus spatial asymmetry and versus phase of a ratchet model. Such structures were found [Phys. Rev. Lett. 106, 234101 (2011)] in the parameter space dissipation versus amplitude of the ratchet potential and they appear to have generic shapes and to align themselves along preferred directions in the parameter space. Since the ratchet current is usually larger inside these structures, this allows us to make general statements about the relevant parameters combination to obtain an efficient ratchet current. Results of the present work give further evidences of the suggested generic properties of the isoperiodic stable structures in the context of ratchet transport.
Calibrated Hydrothermal Parameters, Barrow, Alaska, 2013
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Atchley, Adam; Painter, Scott; Harp, Dylan; Coon, Ethan; Wilson, Cathy; Liljedahl, Anna; Romanovsky, Vladimir
A model-observation-experiment process (ModEx) is used to generate three 1D models of characteristic micro-topographical land-formations, which are capable of simulating present active thaw layer (ALT) from current climate conditions. Each column was used in a coupled calibration to identify moss, peat and mineral soil hydrothermal properties to be used in up-scaled simulations. Observational soil temperature data from a tundra site located near Barrow, AK (Area C) is used to calibrate thermal properties of moss, peat, and sandy loam soil to be used in the multiphysics Advanced Terrestrial Simulator (ATS) models. Simulation results are a list of calibrated hydrothermal parameters for moss, peat, and mineral soil hydrothermal parameters.
UPRE method for total variation parameter selection
Wohlberg, Brendt [Los Alamos National Laboratory; Lin, Youzuo [Los Alamos National Laboratory
2008-01-01T23:59:59.000Z
Total Variation (TV) Regularization is an important method for solving a wide variety of inverse problems in image processing. In order to optimize the reconstructed image, it is important to choose the optimal regularization parameter. The Unbiased Predictive Risk Estimator (UPRE) has been shown to give a very good estimate of this parameter for Tikhonov Regularization. In this paper we propose an approach to extend UPRE method to the TV problem. However, applying the extended UPRE is impractical in the case of inverse problems such as de blurring, due to the large scale of the associated linear problem. We also propose an approach to reducing the large scale problem to a small problem, significantly reducing computational requirements while providing a good approximation to the original problem.
Kaon [ital B] parameter with Wilson fermions
Gupta, R.; Daniel, D. (Los Alamos National Laboratory, T-8, MS-B285, Los Alamos, New Mexico 87545 (United States)); Kilcup, G.W. (Physics Department, Ohio State University, Columbus, Ohio 43210 (United States)); Patel, A. (Supercomputer Education and Research Centre and Centre for Theoretical Studies, Indian Institute of Science, Bangalore 560012 (India)); Sharpe, S.R. (Physics Department FM-15, University of Washington, Seattle, Washington 98195 (United States))
1993-06-01T23:59:59.000Z
We calculate the kaon [ital B] parameter in quenched lattice QCD at [beta]=6.0 using Wilson fermions at [kappa]=0.154 and 0.155. We use two kinds of nonlocal ( smeared'') sources for quark propagators to calculate the matrix elements between states of definite momentum. The use of smeared sources yields results with much smaller errors than obtained in previous calculations with Wilson fermions. By combining results for [bold p]=(0,0,0) and [bold p]=(0,0,1), we show that one can carry out the noperturbative subtraction necessary to remove the dominant lattice artifacts induced by the chiral-symmetry-breaking term in the Wilson action. Our final results are in good agreement with those obtained using staggered fermions. We also present results for [ital B] parameters of the [Delta][ital I]=3/2 part of the electromagnetic penguin operators, and preliminary results for [ital B][sub [ital K
Surveillance of industrial processes with correlated parameters
White, A.M.; Gross, K.C.; Kubic, W.L.; Wigeland, R.A.
1996-12-17T23:59:59.000Z
A system and method for surveillance of an industrial process are disclosed. The system and method includes a plurality of sensors monitoring industrial process parameters, devices to convert the sensed data to computer compatible information and a computer which executes computer software directed to analyzing the sensor data to discern statistically reliable alarm conditions. The computer software is executed to remove serial correlation information and then calculate Mahalanobis distribution data to carry out a probability ratio test to determine alarm conditions. 10 figs.
PID Parameters Optimization by Using Genetic Algorithm
Mirzal, Andri; Furukawa, Masashi
2012-01-01T23:59:59.000Z
Time delays are components that make time-lag in systems response. They arise in physical, chemical, biological and economic systems, as well as in the process of measurement and computation. In this work, we implement Genetic Algorithm (GA) in determining PID controller parameters to compensate the delay in First Order Lag plus Time Delay (FOLPD) and compare the results with Iterative Method and Ziegler-Nichols rule results.
Critical Performance and Durability Parameters of an Integrated...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
and Durability Parameters of an Integrated Aftertreatment System used to Meet Tier II Emission Standards Critical Performance and Durability Parameters of an Integrated...
Key Parameters Affecting DPF Performance Degradation and Impact...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Parameters Affecting DPF Performance Degradation and Impact on Lifetime Fuel Economy Key Parameters Affecting DPF Performance Degradation and Impact on Lifetime Fuel Economy...
affect colonization parameters: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
and 'Tejada, M., A. 1. Borderfas, and F. Jimenez 3 Parameters Affecting Water Hammer Wave Attenuation, Shape by Anton Bergant1 Engineering Websites Summary: Parameters Affecting...
Relaxed constraints on neutrino oscillation parameters
Daniela P. Kirilova; Mariana P. Panayotova
2006-08-04T23:59:59.000Z
We study the cosmological constraints on active-sterile neutrino oscillations nu_e nu_s for the case when nu_s is partially filled initially, i.e. 0 nu_s oscillations, effective after neutrino decoupling, accounting for all known oscillations effects on cosmological nucleosynthesis. Cosmological constraints on oscillation parameters corresponding to higher than 5% He-4 overproduction and different non-zero initial populations of the sterile state delta N_s 0 are relaxed in comparison with the delta N_s = 0 case and the relaxation is proportional to delta N_s.
Sedimentary parameters of upper Barataria Bay, Louisiana
Siegert, Rudolf B
1961-01-01T23:59:59.000Z
SEDIMENTARY PARAMETERS OF UPPER BARATARIA BAY, LOUISIANA A Thesis Rudolf Bernhardt Siegert Submitted to the Graduate School of the Agricultural snd Mechanical College of Texas in partial fulfillment of the reGulremente for the d. agree... of MASTER OF SCIENCE August 1961 Ma)or Sub)ect GeologP SEDYIKNTARY PARAI'ZTEHS OF DT'PBR BARATARIA BAY, LOUISIANA A Thesis By Rudolf Bernhardt Siegert Approved as to style and content by: Chairman of C 'tice Bea of Department or Student Advisor...
A new parameter in attractor single-field inflation
Jinn-Ouk Gong; Misao Sasaki
2015-06-16T23:59:59.000Z
We revisit the notion of slow-roll in the context of general single-field inflation. As a generalization of slow-roll dynamics, we consider an inflaton $\\phi$ in an attractor phase where the time derivative of $\\phi$ is determined by a function of $\\phi$, $\\dot\\phi=\\dot\\phi(\\phi)$. In other words, we consider the case when the number of $e$-folds $N$ counted backward in time from the end of inflation is solely a function of $\\phi$, $N=N(\\phi)$. In this case, it is found that we need a new independent parameter to properly describe the dynamics of the inflaton field in general, in addition to the standard parameters conventionally denoted by $\\epsilon$, $\\eta$, $c_s^2$ and $s$. Two illustrative examples are presented to discuss the non-slow-roll dynamics of the inflaton field consistent with observations.
A new parameter in attractor single-field inflation
Gong, Jinn-Ouk
2015-01-01T23:59:59.000Z
We revisit the notion of slow-roll in the context of general single-field inflation. As a generalization of slow-roll dynamics, we consider an inflaton $\\phi$ in an attractor phase where the time derivative of $\\phi$ is determined by a function of $\\phi$, $\\dot\\phi=\\dot\\phi(\\phi)$. In other words, we consider the case when the number of $e$-folds $N$ counted backward in time from the end of inflation is solely a function of $\\phi$, $N=N(\\phi)$. In this case, it is found that we need a new independent parameter to properly describe the dynamics of the inflaton field in general, in addition to the standard parameters conventionally denoted by $\\epsilon$, $\\eta$, $c_s^2$ and $s$. Two illustrative examples are presented to discuss the non-slow-roll dynamics of the inflaton field consistent with observations.
Parameter estimation of quantum processes using convex optimization
Gábor Balló; Katalin M. Hangos
2010-04-29T23:59:59.000Z
A convex optimization based method is proposed for quantum process tomography, in the case of known channel model structure, but unknown channel parameters. The main idea is to select an affine parametrization of the Choi matrix as a set of optimization variables, and formulate a semidefinite programming problem with a least squares objective function. Possible convex relations between the optimization variables are also taken into account to improve the estimation. Simulation case studies show, that the proposed method can significantly increase the accuracy of the parameter estimation, if the channel model structure is known. Beside the convex part, the determination of the channel parameters from the optimization variables is a nonconvex step in general. In the case of Pauli channels however, the method reduces to a purely convex optimization problem, allowing to obtain a globally optimal solution.
Parameter exploration of optically trapped liquid aerosols
D. R. Burnham; P. J. Reece; D. McGloin
2010-06-24T23:59:59.000Z
When studying the motion of optically trapped particles on the $\\mu s$ time scale, in low viscous media such as air, inertia cannot be neglected. Resolution of unusual and interesting behaviour not seen in colloidal trapping experiments is possible. In attempt to explain the phenomena we use power spectral methods to perform a parameter study of the Brownian motion of optically trapped liquid aerosol droplets concentrated around the critically damped regime. We present evidence that the system is suitably described by a simple harmonic oscillator model which must include a description of Fax\\'{e}n's correction, but not necessarily frequency dependent hydrodynamic corrections to Stokes' law. We also provide results describing how the system behaves under several variables and discuss the difficulty in decoupling the parameters responsible for the observed behaviour. We show that due to the relatively low dynamic viscosity and high trap stiffness it is easy to transfer between over- and under-damped motion by experimentally altering either trap stiffness or damping. Our results suggest stable aerosol trapping may be achieved in under-damped conditions, but the onset of deleterious optical forces at high trapping powers prevents the probing of the upper stability limits due to Brownian motion.
A PARAMETER STUDY FOR BAROCLINIC VORTEX AMPLIFICATION
Raettig, Natalie; Klahr, Hubert [Max-Planck-Institut fuer Astronomie, Koenigstuhl 17, D-69117 Heidelberg (Germany); Lyra, Wladimir, E-mail: raettig@mpia.de, E-mail: klahr@mpia.de, E-mail: Wladimir.Lyra@jpl.nasa.gov [Department of Astrophysics, American Museum of Natural History, 79th Street at Central Park West, New York, NY 10024 (United States)
2013-03-10T23:59:59.000Z
Recent studies have shown that baroclinic vortex amplification is strongly dependent on certain factors, namely, the global entropy gradient, the efficiency of thermal diffusion and/or relaxation as well as numerical resolution. We conduct a comprehensive study of a broad range and combination of various entropy gradients, thermal diffusion and thermal relaxation timescales via local shearing sheet simulations covering the parameter space relevant for protoplanetary disks. We measure the Reynolds stresses as a function of our control parameters and see that there is angular momentum transport even for entropy gradients as low as {beta} = -dln s/dln r = 1/2. Values we expect in protoplanetary disks are between {beta} = 0.5-2.0 The amplification-rate of the perturbations, {Gamma}, appears to be proportional to {beta}{sup 2} and thus proportional to the square of the Brunt-Vaeisaelae frequency ({Gamma}{proportional_to}{beta}{sup 2}{proportional_to}N {sup 2}). The saturation level of Reynolds stresses, on the other hand, seems to be proportional to {beta}{sup 1/2}. This highlights the importance of baroclinic effects even for the low entropy gradients expected in protoplanetary disks.
Criticality parameters for tank waste evaluation
Rogers, C.A.
1997-05-19T23:59:59.000Z
Nuclear criticality parameters were developed as a basis for evaluating criticality safety for waste stored in the high-level waste tank farms on the Hanford Site in Washington State. The plutonium critical concentration and critical mass were calculated using a conservative waste model (CWM). The primary requirement of a CWM is that it have a lower neutron absorption than any actual waste. Graphs are provided of the critical mass as a function of plutonium concentration for spheres and for uniform slab layers in a 22.9-m-diameter tank. Minimum subcritical absorber-to-plutonium mass rates were calculated for waste components selected for their relative abundance and neutron absorption capacity. Comparison of measured absorber-to-plutonium mass ratios in their corresponding subcritical limit mass ratios provides a means of assessing whether criticality is possible for waste of the measured composition. A comparison is made between the plutonium critical concentrations in CWM solids and in a postulated real waste. This comparison shows that the actual critical parameters are likely to be significantly larger than those obtained using the CWM, thus providing confidence that the margin of safety obtained to the criticality safety evaluation is conservative.
Holographic Dark Energy with Time Varying n^2 Parameter in Non-Flat Universe
Bushra Majeed; Mubasher Jamil; Azad A. Siddiqui
2014-11-01T23:59:59.000Z
We consider a holographic dark energy model, with a varying parameter, n, which evolves slowly with time. We obtain the differential equation describing evolution of the dark energy density parameter, $\\Omega_d$, for the flat and non-flat FRW universes. The equation of state parameter in this generalized version of holographic dark energy depends on n.
Parameter monitoring compensation system and method
Barkman, W.E.; Babelay, E.F.; DeMint, P.D.; Hebble, T.L.; Igou, R.E.; Williams, R.R.; Klages, E.J.; Rasnick, W.H.
1995-02-07T23:59:59.000Z
A compensation system is described for a computer-controlled machining apparatus having a controller and including a cutting tool and a workpiece holder which are movable relative to one another along a preprogrammed path during a machining operation. It utilizes sensors for gathering information at a preselected stage of a machining operation relating to an actual condition. The controller compares the actual condition to a condition which the program presumes to exist at the preselected stage and alters the program in accordance with detected variations between the actual condition and the assumed condition. Such conditions may be related to process parameters, such as a position, dimension or shape of the cutting tool or workpiece or an environmental temperature associated with the machining operation, and such sensors may be a contact or a non-contact type of sensor or a temperature transducer. 7 figs.
Scanning the Parameter Space of Holographic Superconductors
Obinna C. Umeh
2009-07-17T23:59:59.000Z
We study various physical quantities associated with holographic s-wave superconductors as functions of the scaling dimensions of the dual condensates. A bulk scalar field with negative mass squared $m^2$, satisfying the Breitenlohner-Freedman stability bound and the unitarity bound, and allowed to vary in $0.5$ unit intervals, were considered. We observe that all the physical quantities investigated are sensitive to the scaling dimensions of the dual condensates. For all the $m^2$, the characteristic lengths diverge at the critical temperature in agreement with the Ginzburg-Landau theory. The Ginzburg-Landau parameter, obtained from these length scales indicates that the holographic superconductors can be type I or type II depending on the charge and the scaling dimensions of the dual condensates. For a fixed charge, there exists a critical scaling dimension, above which a holographic superconductor is type I, below which it becomes a type II.
Application of the OPTEX method for computing reflector parameters
Hebert, A. [Ecole Polytechnique de Montreal, C.P. 6079 suce. Centre-Ville, Montreal QC. H3C 3A7 (Canada); Leroyer, H. [EDF - R and D, SINETICS, 1 Avenue du General de Gaulle, 92141 Clamart (France)
2013-07-01T23:59:59.000Z
We are investigating the OPTEX reflector model for obtaining few-group reflector parameters consistent with a reference power distribution in the core. In our study, the reference power distribution is obtained using a 142,872-region calculation defined over a 2D eighth-of-core pressurized water reactor and performed with the method of characteristics. The OPTEX method is based on generalized perturbation theory and uses an optimization algorithm known as parametric linear complementarity pivoting. The proposed model leads to few-group diffusion coefficients or P1-weighted macroscopic total cross sections that can be used to represent the reflector in full-core calculations. These few-group parameters can be spatially heterogeneous in order to correctly represent steel baffles present in modern pressurized water reactors. The optimal reflector parameters are compared to those obtained with a flux-volume weighting of the reflector cross sections recovered from the reference calculation. Important improvements in full-core power distribution are observed when the optimal parameters are used. (authors)
FUNDAMENTAL PARAMETERS AND CHEMICAL COMPOSITION OF ARCTURUS
Ramirez, I. [Observatories of the Carnegie Institution for Science, 813 Santa Barbara Street, Pasadena, CA 91101 (United States); Allende Prieto, C., E-mail: ivan@obs.carnegiescience.edu, E-mail: callende@iac.es [Instituto de Astrofisica de Canarias, 38205 La Laguna, Tenerife (Spain)
2011-12-20T23:59:59.000Z
We derive a self-consistent set of atmospheric parameters and abundances of 17 elements for the red giant star Arcturus: T{sub eff} = 4286 {+-} 30 K, log g = 1.66 {+-} 0.05, and [Fe/H] = -0.52 {+-} 0.04. The effective temperature was determined using model atmosphere fits to the observed spectral energy distribution from the blue to the mid-infrared (0.44 to 10 {mu}m). The surface gravity was calculated using the trigonometric parallax of the star and stellar evolution models. A differential abundance analysis relative to the solar spectrum allowed us to derive iron abundances from equivalent width measurements of 37 Fe I and 9 Fe II lines, unblended in the spectra of both Arcturus and the Sun; the [Fe/H] value adopted is derived from Fe I lines. We also determine the mass, radius, and age of Arcturus: M = 1.08 {+-} 0.06 M{sub Sun }, R = 25.4 {+-} 0.2 R{sub Sun }, and {tau} = 7.1{sup +1.5}{sub -1.2} Gyr. Finally, abundances of the following elements are measured from an equivalent width analysis of atomic features: C, O, Na, Mg, Al, Si, K, Ca, Sc, Ti, V, Cr, Mn, Co, Ni, and Zn. We find the chemical composition of Arcturus typical of that of a local thick-disk star, consistent with its kinematics.
PHYSICAL PARAMETERS OF STANDARD AND BLOWOUT JETS
Pucci, Stefano; Romoli, Marco [Department of Physics and Astronomy, University of Firenze, I-50121 Firenze (Italy); Poletto, Giannina [INAF-Arcetri Astrophysical Observatory, I-50125 Firenze (Italy); Sterling, Alphonse C., E-mail: stpucci@arcetri.astro.it [Space Science Office, NASA/MSFC, Huntsville, Al 35812 (United States)
2013-10-10T23:59:59.000Z
The X-ray Telescope on board the Hinode mission revealed the occurrence, in polar coronal holes, of much more numerous jets than previously indicated by the Yohkoh/Soft X-ray Telescope. These plasma ejections can be of two types, depending on whether they fit the standard reconnection scenario for coronal jets or if they include a blowout-like eruption. In this work, we analyze two jets, one standard and one blowout, that have been observed by the Hinode and STEREO experiments. We aim to infer differences in the physical parameters that correspond to the different morphologies of the events. To this end, we adopt spectroscopic techniques and determine the profiles of the plasma temperature, density, and outflow speed versus time and position along the jets. The blowout jet has a higher outflow speed, a marginally higher temperature, and is rooted in a stronger magnetic field region than the standard event. Our data provide evidence for recursively occurring reconnection episodes within both the standard and the blowout jet, pointing either to bursty reconnection or to reconnection occurring at different locations over the jet lifetimes. We make a crude estimate of the energy budget of the two jets and show how energy is partitioned among different forms. Also, we show that the magnetic energy that feeds the blowout jet is a factor of 10 higher than the magnetic energy that fuels the standard event.
Adaptive Distributed Parameter and Input Estimation in Plasma Tokamak Heat
Boyer, Edmond
. Keywords: Thermonuclear fusion, distributed parameter systems, input state and parameter estimation, adaptive infinite-dimensional estimation, Galerkin method 1. INTRODUCTION In a controlled thermonuclear fusion reactor, the plasma thermal diffusivity and heating energy play an important role
Profile of Two-Higgs-Doublet-Model Parameter Space
Abdul Wahab El Kaffas; Odd Magne Ogreid; Per Osland
2007-09-26T23:59:59.000Z
We review recent work on constraining the parameter space of the Two-Higgs-Doublet Model by theoretical and experimental results. Some characteristics of the model, in particular the distribution of masses in the surviving parameter space, are discussed.
Variable rate CELP speech coding using widely variable parameter updates
Moodie, Myron L.
1995-01-01T23:59:59.000Z
bit rates for a given quality level. This work develops new techniques, referred to as widely variable CELP parameter updates, which dynamically adapt the transmit frequency of the CELP spectral parameters to the characteristics of the input speech...
The Distributed Stigmergic Algorithm for Multi-parameter Optimization
Silc, Jurij
the independent geometrical parameters of the ro- tor and the stator. The efficiency of the algorithm is the process of finding the point in the parameter space P = {p1, p2, . . . , pD} where a cost function f
On the estimation of galaxy structural parameters: the Sersic Model
Ignacio Trujillo; Alister W. Graham; Nicola Caon
2001-02-22T23:59:59.000Z
This paper addresses some questions which have arisen from the use of the S\\'ersic r^{1/n} law in modelling the luminosity profiles of early type galaxies. The first issue deals with the trend between the half-light radius and the structural parameter n. We show that the correlation between these two parameters is not only real, but is a natural consequence from the previous relations found to exist between the model-independent parameters: total luminosity, effective radius and effective surface brightness. We also define a new galaxy concentration index which is largely independent of the image exposure depth, and monotonically related with n. The second question concerns the curious coincidence between the form of the Fundamental Plane and the coupling between _e and r_e when modelling a light profile. We explain, through a mathematical analysis of the S\\'ersic law, why the quantity r_e_e^{0.7} appears almost constant for an individual galaxy, regardless of the value of n (over a large range) adopted in the fit to the light profile. Consequently, Fundamental Planes of the form r_e_e^{0.7} propto sigma_0^x (for any x, and where sigma_0 is the central galaxy velocity dispersion) are insensitive to galaxy structure. Finally, we address the problematic issue of the use of model-dependent galaxy light profile parameters versus model-independent quantities for the half-light radii, mean surface brightness and total galaxy magnitude. The former implicitly assume that the light profile model can be extrapolated to infinity, while the latter quantities, in general, are derived from a signal-to-noise truncated profile. We quantify (mathematically) how these parameters change as one reduces the outer radius of an r^{1/n} profile, and reveal how these can vary substantially when n>4.
Sensitivity of transient synchrotron radiation to tokamak plasma parameters
Fisch, N.J.; Kritz, A.H.
1988-12-01T23:59:59.000Z
Synchrotron radiation from a hot plasma can inform on certain plasma parameters. The dependence on plasma parameters is particularly sensitive for the transient radiation response to a brief, deliberate, perturbation of hot plasma electrons. We investigate how such a radiation response can be used to diagnose a variety of plasma parameters in a tokamak. 18 refs., 13 figs.
Precision Measurement of Neutrino Oscillation Parameters and Investigation of Nuclear
Desbrun, Mathieu
Precision Measurement of Neutrino Oscillation Parameters and Investigation of Nuclear Georeactor thanks. #12;v Abstract A combined analysis of examining the neutrino oscillation parameters and investiga of the neutrino oscillation parame- ters, including the georeactor power as a free parameter, are tan2 12 = 0
OPTIMIZATION OF STELLARATOR REACTOR PARAMETERS J. F. Lyon1
OPTIMIZATION OF STELLARATOR REACTOR PARAMETERS J. F. Lyon1 , L.P. Ku2 , P. Garabedian3 , L. El-average) approach for optimizing the main reactor parameters allows study of the relationship between global developed to optimize the main reactor parameters (, the average magnetic field on axis , etc
T3PS: Tool for Parallel Processing in Parameter Scans
Maurer, Vinzenz
2015-01-01T23:59:59.000Z
T3PS is a program that can be used to quickly design and perform parameter scans while easily taking advantage of the multi-core architecture of current processors. It takes an easy to read and write parameter scan definition file format as input. Based on the parameter ranges and other options contained therein, it distributes the calculation of the parameter space over multiple processes and possibly computers. The derived data is saved in a plain text file format readable by most plotting software. The supported scanning strategies include: grid scan, random scan, Markov Chain Monte Carlo, numerical optimization. Several example parameter scans are shown and compared with results in the literature.
Non-linear equation: energy conservation and impact parameter dependence
Andrey Kormilitzin; Eugene Levin
2010-09-08T23:59:59.000Z
In this paper we address two questions: how energy conservation affects the solution to the non-linear equation, and how impact parameter dependence influences the inclusive production. Answering the first question we solve the modified BK equation which takes into account energy conservation. In spite of the fact that we used the simplified kernel, we believe that the main result of the paper: the small ($\\leq 40%$) suppression of the inclusive productiondue to energy conservation, reflects a general feature. This result leads us to believe that the small value of the nuclear modification factor is of a non-perturbative nature. In the solution a new scale appears $Q_{fr} = Q_s \\exp(-1/(2 \\bas))$ and the production of dipoles with the size larger than $2/Q_{fr}$ is suppressed. Therefore, we can expect that the typical temperature for hadron production is about $Q_{fr}$ ($ T \\approx Q_{fr}$). The simplified equation allows us to obtain a solution to Balitsky-Kovchegov equation taking into account the impact parameter dependence. We show that the impact parameter ($b$) dependence can be absorbed into the non-perturbative $b$ dependence of the saturation scale. The solution of the BK equation, as well as of the modified BK equation without $b$ dependence, is only accurate up to $\\pm 25%$.
Supergravity, complex parameters and the Janis-Newman algorithm
Harold Erbin; Lucien Heurtier
2015-01-09T23:59:59.000Z
The Demia\\'nski-Janis-Newman algorithm is an original solution generating technique. For a long time it has been limited to producing rotating solutions, restricting to the case of a metric and real scalar fields, despite the fact that Demia\\'nski extended it to include more parameters such as a NUT charge. Recently two independent prescriptions have been given for extending the algorithm to gauge fields and thus electrically charged configurations. In this paper we aim to end setting up the algorithm by providing a missing but important piece, which is how the transformation is applied to complex scalar fields. We illustrate our proposal through several examples taken from N=2 supergravity, including the stationary BPS solutions from Behrndt et al. and Sen's axion-dilaton rotating black hole. Moreover we discuss solutions that include pairs of complex parameters, such as the mass and the NUT charge, or the electric and magnetic charges, and we explain how to perform the algorithm in this context (with the example of Kerr-Newman-Taub-NUT and dyonic Kerr-Newman black holes). The final formulation of the DJN algorithm can possibly handle solutions with five of the six Pleba\\'nski-Demia\\'nski parameters along with any type of bosonic fields with spin less than two (exemplified with the SWIP solutions). This provides all the necessary tools for applications to general matter-coupled gravity and to (gauged) supergravity.
The Parameter Space of Graphene CVD on Polycrystalline Cu
Kidambi, Piran Ravichandran; Ducati, Caterina; Dlubak, Bruno; Gardiner, Damian; Weatherup, Robert S.; Martin, Marie-Blandine; Seneor, Pierre; Coles, Harry; Hofmann, Stephan
2012-09-27T23:59:59.000Z
growth mechanisms have yet to be fully understood6–8 and the often narrow empirical process optimizations allow little generalization due to the vast CVD parameter space.4,5,9–13 Most current literature focuses on exposing polycrystalline Cu4,5 foils... at temperature of 600oC or below, as recently reported for toluene18(~ 600 oC, ID/IG~0.35) and ill-defined C6H6 exposures in hot-wall furnaces.35 We note in this context that these previous efforts have focused on lowering the temperature, but clearly...
Approximating Acyclicity Parameters of Sparse Hypergraphs
Fomin, Fedor V.
of (generalized, frac- tional) hypertree width becomes essentially more general than treewidth, justifying theoretical and "real-world" problems can be expressed as constrained satis- faction problems (CSP). Among, as it was shown by Kolaitis and Vardi [21], CSP, conjunctive-query containment, and finding homomorphism
Parameter Estimation from an Optimal Projection in a Local Environment
A. Bijaoui; A. Recio-Blanco; P. de Laverny
2008-11-03T23:59:59.000Z
The parameter fit from a model grid is limited by our capability to reduce the number of models, taking into account the number of parameters and the non linear variation of the models with the parameters. The Local MultiLinear Regression (LMLR) algorithms allow one to fit linearly the data in a local environment. The MATISSE algorithm, developed in the context of the estimation of stellar parameters from the Gaia RVS spectra, is connected to this class of estimators. A two-steps procedure was introduced. A raw parameter estimation is first done in order to localize the parameter environment. The parameters are then estimated by projection on specific vectors computed for an optimal estimation. The MATISSE method is compared to the estimation using the objective analysis. In this framework, the kernel choice plays an important role. The environment needed for the parameter estimation can result from it. The determination of a first parameter set can be also avoided for this analysis. These procedures based on a local projection can be fruitfully applied to non linear parameter estimation if the number of data sets to be fitted is greater than the number of models.
Identifying Suitable Degradation Parameters for Individual-Based Prognostics
Coble, Jamie B.; Hines, Wes
2012-09-30T23:59:59.000Z
The ultimate goal of most prognostic systems is accurate prediction of the remaining useful life of individual systems or components based on their use and performance. Traditionally, individual-based prognostic methods use a measure of degradation to make lifetime estimates. Degradation measures may include sensed measurements, such as temperature or vibration level, or inferred measurements, such as model residuals or physics-based model predictions. Often, it is beneficial to combine several measures of degradation into a single parameter. Parameter features such as trendability, monotonicity, and prognosability can be used to compare candidate prognostic parameters to determine which is most useful for individual-based prognosis. By quantifying these features for a given parameter, the metrics can be used with any traditional optimization technique to identify an appropriate parameter. This parameter may be used with a parametric extrapolation model to make prognostic estimates for an individual unit. The proposed methods are illustrated with an application to simulated turbofan engine data.
Parameters’ Covariance in Neutron Time of Flight Analysis – Explicit Formulae
Odyniec, M. [NSTec; Blair, J. [NSTec
2014-12-01T23:59:59.000Z
We present here a method that estimates the parameters’ variance in a parametric model for neutron time of flight (NToF). The analytical formulae for parameter variances, obtained independently of calculation of parameter values from measured data, express the variances in terms of the choice, settings, and placement of the detector and the oscilloscope. Consequently, the method can serve as a tool in planning a measurement setup.
Application of parameter analysis principles in design: an experimental study
Rojanavanich, Vinai
1991-01-01T23:59:59.000Z
&M University Chair of Advisory Committee: Dr. David G. Jansson This thesis concerns the engineering design process and the development of a design guide which implements the Parameter Analysis methodology. Parameter Analysis is a design methodology which... . 9. ANALYSIS AND DISCUSSION, , 10. IMPLEMENTATION OF FACTORS CONTRIBUTING TO . . . 52 53 . 82 . 85 CREATIVITY IN THE PARAMETER ANALYSIS DESIGN GUIDE. . . . , 89 11. CONCLUSION, , 12. REFERENCES APPENDIX A: GLOSSARY OF TERMS . APPENDIX B...
attenuation parameter studies: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
and varying wave speed parameters. In this paper we study causal equations describing propagation of attenuated pressure waves. We review standard models like frequency power...
assess thermodynamic parameters: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
for each parameter, and environmental impacts uncertainties in the future? Application to photovoltaic systems installed in Spain Camille Marini1 and Isabelle- certainties in the...
air bag parameter: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
air temperatures... conditions. The design of this study was based on the relation- ship of four parameters: air temperature, air velocity, radiant heat, and globe...
Mapping the Parameter Space with Oscillatory and Steady State ...
2013-09-26T23:59:59.000Z
mapping of the parameter space even in the presence of noise. ... mapping encompasses two major issues. ... attention from various fields of applied science
Using Circular Programs to Deforest in Accumulating Parameters
Eckmiller, Rolf
Using Circular Programs to Deforest in Accumulating Parameters Janis VoigtlÂ¨ander (voigt) deforestation, tree transducers CCS categories and subject descriptors: D.1.1 [Programming Techniques
Machine Parameter Studies for an FEL Facility Using Staff
Reinsch, M.
2014-01-01T23:59:59.000Z
PARAMETER STUDIES FOR AN FEL FACILITY USING STAFF ? M.USA Abstract Designing an FEL facility requires balancingmultiple science needs, FEL and accelerator physics
aerosol parameter inversion: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Laboratory Mar 31 2014 12;Outline Motivation To reduce uncertainty in the Earth system models and representation Parameter rankingscreening Surrogate ROM development...
Lee, Jooyoung
Optimization of Parameters in Macromolecular Potential Energy Functions by Conformational Space´sk, Sobieskiego 18, 80-952 Gdan´sk, Poland ReceiVed: March 22, 2001; In Final Form: June 4, 2001 A general protocol for refining the parameters of macromolecular potential energy functions by optimizing criteria
Factor analysis of Galactic globular clusters on structural parameters
O. Eigenson; O. Yatsyk
2000-11-08T23:59:59.000Z
Principal component method is used to study galactic globular clusters in 7- and 8-axis space of structural parameters. It is shown that the manifold properties of clusters with this set of parameters is determined mainly by two independent factors. This result may be useful for the theory of formation and evolution of clusters.
Performance Parameters for Grid-Connected PV Systems
Marion, B.; Adelstein, J.; Boyle, K.; Hayden, H.; Hammond, B.; Fletcher, T.; Canada, B.; Narang, D.; Shugar, D.; Wenger, H.; Kimber, A.; Mitchell, L.; Rich, G.; Townsend, T.
2005-02-01T23:59:59.000Z
The use of appropriate performance parameters facilitates the comparison of grid-connected photovoltaic (PV) systems that may differ with respect to design, technology, or geographic location. Four performance parameters that define the overall system performance with respect to the energy production, solar resource, and overall effect of system losses are the following: final PV system yield, reference yield, performance ratio, and PVUSA rating. These performance parameters are discussed for their suitability in providing desired information for PV system design and performance evaluation and are demonstrated for a variety of technologies, designs, and geographic locations. Also discussed are methodologies for determining system a.c. power ratings in the design phase using multipliers developed from measured performance parameters.The use of appropriate performance parameters facilitates the comparison of grid-connected photovoltaic (PV) systems that may differ with respect to design, technology, or geographic location. Four performance parameters that define the overall system performance with respect to the energy production, solar resource, and overall effect of system losses are the following: final PV system yield, reference yield, performance ratio, and PVUSA rating. These performance parameters are discussed for their suitability in providing desired information for PV system design and performance evaluation and are demonstrated for a variety of technologies, designs, and geographic locations. Also discussed are methodologies for determining system a.c. power ratings in the design phase using multipliers developed from measured performance parameters.
An Object-Based Audio Rendering System using Spatial Parameters
Chang, Pao-Chi
An Object-Based Audio Rendering System using Spatial Parameters Kuo-Lun Huang, Tai-Ming Chang rendering system, in which the audio signal of each object is distributed to multi-channel systems by spatial parameters. The operation of the rendering system is based on the sound localization theories
Using Graphical Representations to Support the Calculation of Infusion Parameters
Subramanian, Sriram
Using Graphical Representations to Support the Calculation of Infusion Parameters Sandy J. J. Gould in which participants were asked to solve a num- ber of infusion parameter problems that were represented representations transfer to actual workplace settings. Keywords: Graphical reasoning, infusion pumps, re
Calibration as Parameter Estimation in Sensor Networks Kamin Whitehouse
Whitehouse, Kamin
Calibration as Parameter Estimation in Sensor Networks Kamin Whitehouse UC Berkeley Berkeley, CA an ad-hoc localization system for sensor net- works and explain why traditional calibration methods are inadequate for this system. Building upon previous work, we frame calibration as a parameter estimation
Parameter estimation for energy balance models with memory
Parameter estimation for energy balance models with memory By Lionel Roques1,*, MickaÂ¨el D parameter estimation for one-dimensional energy balance models with mem- ory (EBMMs) given localized estimate is still possible in certain cases. Keywords: age dating; Bayesian inference; energy balance model
Adaptive Online Battery Parameters/SOC/Capacity Co-estimation
Chow, Mo-Yuen
and even storage ageing of the battery. Following our previous publications in which we developed an onlineAdaptive Online Battery Parameters/SOC/Capacity Co-estimation Habiballah Rahimi-Eichi and Mo parameters to characterize the performance and application of a battery. Although the nominal capacity
Sequential estimation of intramuscular EMG model parameters for prosthesis control
Paris-Sud XI, Université de
Sequential estimation of intramuscular EMG model parameters for prosthesis control Jonathan parameters which can lead to an active drive of an upper limb prosthesis. A system model will be presented an upper limb prosthesis using signals that express motoneuron activity. Therefore, the com- mand signals
Zliding: Fluid Zooming and Sliding for High Precision Parameter Manipulation
Balakrishnan, Ravin
propose and study a mechanism for use with pressure sensitive input devices, called Zoom SlidingZliding: Fluid Zooming and Sliding for High Precision Parameter Manipulation Gonzalo Ramos, Ravin to the parameter itself. This paper introduces the notion of Zoom Sliding, or Zliding, for fluid integrated
Beam parameters and machine performance to be reached in 2010
Assmann, R; Giovannozzi, M; Herr, W; Jowett, J M; Lamont, M; Shaposhnikova, E
2010-01-01T23:59:59.000Z
A review of the beam parameters compatible with the energy foreseen for the 2010 physics run will be made. The target parameters and machine performance will be presented together with the rationale behind the selection made. A review of the status of the optics database for the forthcoming year of LHC operation will be carried out, too.
Estimation of Parameters in Carbon Sequestration Models from Net Ecosystem
White, Luther
Estimation of Parameters in Carbon Sequestration Models from Net Ecosystem Exchange Data Luther in the context of a deterministic com- partmental carbon sequestration system. Sensitivity and approximation usefulness in the estimation of parameters within a compartmental carbon sequestration model. Previously we
Wave momentum flux parameter: a descriptor for nearshore waves
US Army Corps of Engineers
Wave momentum flux parameter: a descriptor for nearshore waves Steven A. Hughes* US Army Engineer Available online 7 October 2004 Abstract A new parameter representing the maximum depth-integrated wave momentum flux occurring over a wave length is proposed for characterizing the wave contribution
A Quasilinearization Approach for Parameter Identification in a Nonlinear
Morin, Pedro
(input), T = prescribed final time, 2, 4, 6, 1, are positive constants --depending on the material beingA Quasilinearization Approach for Parameter Identification in a Nonlinear Model of Shape Memory problem in an appropriate Hilbert Space. A quasilinearization-based algorithm for parameter identification
Evaluating Parameter Sweep Workflows in High Performance Computing*
Paris-Sud XI, Université de
Evaluating Parameter Sweep Workflows in High Performance Computing* Fernando Chirigati1,# , Vítor a large amount of tasks that are submitted to High Performance Computing (HPC) environments. Different, Parameter Sweep, High Performance Computing (HPC) 1. INTRODUCTION1 # Many scientific experiments are based
On Parameter Estimation of Urban Storm-Water Runoff Model
On Parameter Estimation of Urban Storm-Water Runoff Model Pedro Avellaneda1 ; Thomas P. Ballestero2 of these parameters are provided for modeling purposes and other urban storm-water quality applications. A normal runoff models are commonly used for urban storm-water quality applications DeCoursey 1985; Tsi- hrintzis
Report on the use of stability parameters and mesoscale
Report on the use of stability parameters and mesoscale modelling in short-term prediction Jake Nielsen, Henrik Madsen, John Tøfting Title: Report on the use of stability parameters and mesoscale. Mesoscale modelling has been carried out using KAMM at this location. The characteristics of the measured
Seismic shape parameters estimation and ground-roll suppression using
Spagnolini, Umberto
Seismic shape parameters estimation and ground-roll suppression using vector-sensor beamforming the problem of estimating the shape parameters of seismic wavefields in linear arrays. The purpose of the subsurface layers from the seismic wavefields registered by surface sensors. However, only the waves
THE RECONSTRUCTION OF GROUNDWATER PARAMETERS FROM HEAD DATA IN AN
Knowles, Ian W.
ancillary data is fundamental to the process of modelling a groundwater system. In an unconfined aquifer of the unconfined groundwater parameters as the unique minimum of a convex functional. 1. Introduction It is commonTHE RECONSTRUCTION OF GROUNDWATER PARAMETERS FROM HEAD DATA IN AN UNCONFINED AQUIFER IAN KNOWLES
Spatial Distributions and Stochastic Parameter Influences on SWAT Flow and Sediment Predictions
Chaubey, Indrajeet
evaporation compensation factor ESCO , groundwater revap coefficient GW_REVAP , and peak rate adjust- ment factor for sediment routing in the subbasin AMP as uncertain parameters, indicated that generally ESCO
Simplified Hamiltonian constraint for a particular value of the Barbero--Immirzi parameter
H. Balasin; W. Wieland
2009-12-17T23:59:59.000Z
We show that within the Ashtekar formulation of General Relativity a considerably simple and compact form of the Lorentzian Hamiltonian constraint occurs for a particular value of the Barbero--Immirzi parameter.
Chaudhari, Qasim Mahmood
2009-05-15T23:59:59.000Z
. This dissertation focuses on deriving e±cient estimators for the clock parameters of the network nodes for synchronization with the reference node and the estimators variance thresholds are obtained to lower bound the maximum achievable performance. For any general...
Ratchet transport and periodic structures in parameter space
Alan Celestino; Cesar Manchein; Holokx A. Albuquerque; Marcus W. Beims
2011-11-06T23:59:59.000Z
Ratchet models are prominent candidates to describe the transport phenomenum in nature in the absence of external bias. This work analyzes the parameter space of a discrete ratchet model and gives direct connections between chaotic domains and a family of isoperiodic stable structures with the ratchet current. The isoperiodic structures appear along preferred direction in the parameter space giving a guide to follow the current, which usually increases inside the structures but is independent of the corresponding period. One of such structures has the shrimp-shaped form which is known to be an universal structure in the parameter space of dissipative systems. Currents in parameter space provide a direct measure of the momentum asymmetry of the multistable and chaotic attractors times the size of the corresponding basin of attraction. Transport structures are shown to exist in the parameter space of the Langevin equation with an external oscillating force.
Cosmological parameter estimation and Bayesian model comparison using VSA data
Anze Slosar; Pedro Carreira; Kieran Cleary; Rod D. Davies; Richard J. Davis; Clive Dickinson; Ricardo Genova-Santos; Keith Grainge; Carlos M. Gutierrez; Yaser A. Hafez; Michael P. Hobson; Michael E. Jones; Rudiger Kneissl; Katy Lancaster; Anthony Lasenby; J. P. Leahy; Klaus Maisinger; Phil J. Marshall; Guy G. Pooley; Rafael Rebolo; Jose Alberto Rubino-Martin; Ben Rusholme; Richard D. E. Saunders; Richard Savage; Paul F. Scott; Pedro J. Sosa Molina; Angela C. Taylor; David Titterington; Elizabeth Waldram; Robert A. Watson; Althea Wilkinson
2003-02-28T23:59:59.000Z
We constrain the basic comological parameters using the first observations by the Very Small Array (VSA) in its extended configuration, together with existing cosmic microwave background data and other cosmological observations. We estimate cosmological parameters for four different models of increasing complexity. In each case, careful consideration is given to implied priors and the Bayesian evidence is calculated in order to perform model selection. We find that the data are most convincingly explained by a simple flat Lambda-CDM cosmology without tensor modes. In this case, combining just the VSA and COBE data sets yields the 68 per cent confidence intervals Omega_b h^2=0.034 (+0.007, -0.007), Omega_dm h^2 = 0.18 (+0.06, -0.04), h=0.72 (+0.15,-0.13), n_s=1.07 (+0.06,-0.06) and sigma_8=1.17 (+0.25, -0.20). The most general model considered includes spatial curvature, tensor modes, massive neutrinos and a parameterised equation of state for the dark energy. In this case, by combining all recent cosmological data, we find, in particular, 95 percent limit on the tensor-to-scalar ratio R < 0.63 and on the fraction of massive neutrinos f_nu < 0.11; we also obtain the 68 per cent confidence interval w=-1.06 (+0.20, -0.25) on the equation of state of dark energy.
Parameter study of a vehicle-scale hydrogen storage system.
Johnson, Terry Alan; Kanouff, Michael P.
2010-04-01T23:59:59.000Z
Sandia National Laboratories has developed a vehicle-scale prototype hydrogen storage system as part of a Work For Others project funded by General Motors. This Demonstration System was developed using the complex metal hydride sodium alanate. For the current work, we have continued our evaluation of the GM Demonstration System to provide learning to DOE's hydrogen storage programs, specifically the new Hydrogen Storage Engineering Center of Excellence. Baseline refueling data during testing for GM was taken over a narrow range of optimized parameter values. Further testing was conducted over a broader range. Parameters considered included hydrogen pressure and coolant flow rate. This data confirmed the choice of design pressure of the Demonstration System, but indicated that the system was over-designed for cooling. Baseline hydrogen delivery data was insufficient to map out delivery rate as a function of temperature and capacity for the full-scale system. A more rigorous matrix of tests was performed to better define delivery capabilities. These studies were compared with 1-D and 2-D coupled multi-physics modeling results. The relative merits of these models are discussed along with opportunities for improved efficiency or reduced mass and volume.
Forced turbulence in thermally bistable gas: A parameter study
Seifried, D; Niemeyer, J C
2010-01-01T23:59:59.000Z
Context: The thermal instability is one of the dynamical agents for turbulence in the diffuse interstellar medium, where both, turbulence and thermal instability interact in a highly non-linear manner. Aims: We study basic properties of turbulence in thermally bistable gas for variable simulation parameters. The resulting cold gas fractions can be applied as parameterisation in simulations on galactic scales. Methods: Turbulent flow is induced on large scales by means of compressive stochastic forcing in a periodic box. The compressible Euler equations with constant UV heating and a parameterised cooling function are solved on uniform grids. We investigate several values of the mean density of the gas and different magnitudes of the forcing. For comparison with other numerical studies, solenoidal forcing is applied as well. Results: After a transient phase, we observe that a state of statistically stationary turbulence is approached. Compressive forcing generally produces a two-phase medium, with a decreasing...
Bhattacharyya, Shuvra S.
The CBP Parameter --- a Useful Annotation to Aid SDF Compilers 1 of 20 The CBP Parameter --- a Useful Annotation to Aid SDF Compilers 1 Shuvra S. Bhattacharyya Department of Electrical and Computer dataflow (SDF) graphs. SDF is a restricted form of dataflow where each computational module (actor
Bhattacharyya, Shuvra S.
The CBP Parameter -- a Useful Annotation to Aid SDF Compilers 1 of 20 The CBP Parameter -- a Useful Annotation to Aid SDF Compilers1 Shuvra S. Bhattacharyya Department of Electrical and Computer Engineering dataflow (SDF) graphs. SDF is a restricted form of dataflow where each computational module (actor
Virtual Models for Prediction of Wind Turbine Parameters
Andrew Kusiak
Abstract—In this paper, a data-driven methodology for the development of virtual models of a wind turbine is presented. To demonstrate the proposed methodology, two parameters of the wind turbine have been selected for modeling, namely, power output and rotor speed. A virtual model for each of the two parameters is developed and tested with data collected at a wind farm. Both models consider controllable and noncontrollable parameters of the wind turbine, as well as the delay effect of wind speed and other parameters. To mitigate data bias of each virtual model and ensure its robustness, a training set is assembled from ten randomly selected turbines. The performance of a virtual model is largely determined by the input parameters selected and the data mining algorithms used to extract the model. Several data mining algorithms for parameter selection and model extraction are analyzed. The research presented in the paper is illustrated with computational results. Index Terms—Data mining, parameter selection, power prediction, virtual model, wind turbine. I.
Global neutrino parameter estimation using Markov Chain Monte Carlo
Steen Hannestad
2007-10-10T23:59:59.000Z
We present a Markov Chain Monte Carlo global analysis of neutrino parameters using both cosmological and experimental data. Results are presented for the combination of all presently available data from oscillation experiments, cosmology, and neutrinoless double beta decay. In addition we explicitly study the interplay between cosmological, tritium decay and neutrinoless double beta decay data in determining the neutrino mass parameters. We furthermore discuss how the inference of non-neutrino cosmological parameters can benefit from future neutrino mass experiments such as the KATRIN tritium decay experiment or neutrinoless double beta decay experiments.
A dimensionless parameter model for arc welding processes
Fuerschbach, P.W.
1994-12-31T23:59:59.000Z
A dimensionless parameter model previously developed for C0{sub 2} laser beam welding has been shown to be applicable to GTAW and PAW autogenous arc welding processes. The model facilitates estimates of weld size, power, and speed based on knowledge of the material`s thermal properties. The dimensionless parameters can also be used to estimate the melting efficiency, which eases development of weld schedules with lower heat input to the weldment. The mathematical relationship between the dimensionless parameters in the model has been shown to be dependent on the heat flow geometry in the weldment.
Chiral Lagrangian Parameters for Scalar and Pseudoscalar Mesons
Bardeen, W; Thacker, H
2004-01-01T23:59:59.000Z
The results of a high-statistics study of scalar and pseudoscalar meson propagators in quenched lattice QCD are presented. For two values of lattice spacing, $\\beta=5.7$ ($a \\approx .18$ fm) and 5.9 ($a \\approx .12$ fm), we probe the light quark mass region using clover improved Wilson fermions with the MQA pole-shifting ansatz to treat the exceptional configuration problem. The quenched chiral loop parameters $m_0$ and $\\alpha_{\\Phi}$ are determined from a study of the pseudoscalar hairpin correlator. From a global fit to the meson correlators, estimates are obtained for the relevant chiral Lagrangian parameters, including the Leutwyler parameters $L_5$ and $L_8$. Using the parameters obtained from the singlet and nonsinglet pseudoscalar correlators, the quenched chiral loop effect in the nonsinglet scalar meson correlator is studied. By removing this QCL effect from the lattice correlator, we obtain the mass and decay constant of the ground state scalar, isovector meson $a_0$.
Subtilin Production by Bacillus Subtilis: Stochastic Hybrid Models and Parameter
Ferrari-Trecate, Giancarlo
Subtilin Production by Bacillus Subtilis: Stochastic Hybrid Models and Parameter Identification dynamics, sparse sam- pling, genetic network, biochemical systems. 1 Introduction During the last decades biological processes are intrinsically uncertain [28, 21]. For instance, stochastic phenomena appear
PARAMETER OPTIMIZATIONS FOR VACUUM LASER ACCELERATION AT ATF...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
3 times the laser Rayleigh length. Its acceleration length can be defined with simple optics. In order to get the higher energy gain at ATFBNL, the laser parameters and related...
Force Field Parameter Estimation of Functional Perfluoropolyether Lubricants
Smith, R.; Chung, P.S.; Steckel, J; Jhon, M.S.; Biegler, L.T.
2011-01-01T23:59:59.000Z
The head disk interface in a hard disk drive can be considered to be one of the hierarchical multiscale systems, which require the hybridization of multiscale modeling methods with coarse-graining procedure. However, the fundamental force field parameters are required to enable the coarse-graining procedure from atomistic/molecular scale to mesoscale models. In this paper, we investigate beyond molecular level and perform ab initio calculations to obtain the force field parameters. Intramolecular force field parameters for Zdol and Ztetraol were evaluated with truncated PFPE molecules to allow for feasible quantum calculations while still maintaining the characteristic chemical structure of the end groups. Using the harmonic approximation to the bond and angle potentials, the parameters were derived from the Hessian matrix, and the dihedral force constants are fit to the torsional energy profiles generated by a series of constrained molecular geometry optimization.
Sloppy Models, Parameter Uncertainty, and the Role of Experimental Design
Apgar, Joshua F.
Computational models are increasingly used to understand and predict complex biological phenomena. These models contain many unknown parameters, at least some of which are difficult to measure directly, and instead are ...
Integrated circuit outlier identification by multiple parameter correlation
Sabade, Sagar Suresh
2004-09-30T23:59:59.000Z
Semiconductor manufacturers must ensure that chips conform to their specifications before they are shipped to customers. This is achieved by testing various parameters of a chip to determine whether it is defective or not. ...
A Lumped Parameter Model for the Edwards Aquifer
Anaya, Roberto; Wanakule, Nisai
A lumped parameter model has been developed to simulate monthly water levels and spring flows in the Edwards Aquifer. It is less complex and easier to use than the existing complex finite difference models for the Edwards Aquifer. The lumped...
Constraining Climate Model Parameters from Observed 20th Century Changes
Forest, Chris Eliot
We present revised probability density functions for climate model parameters (effective climate sensitivity, the rate of deep-ocean heat uptake, and the strength of the net aerosol forcing) that are based on climate change ...
average neutron parameters: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
invariant parameters (ACIPs) are calculated for six groups of BATSE cosmic gamma-ray bursts selected by their peak fluxes on the 1.024 s time scale. The ACIPs represent the...
average parameters required: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
invariant parameters (ACIPs) are calculated for six groups of BATSE cosmic gamma-ray bursts selected by their peak fluxes on the 1.024 s time scale. The ACIPs represent the...
Identification of geometrical and elastostatic parameters of heavy industrial robots
Paris-Sud XI, Université de
Identification of geometrical and elastostatic parameters of heavy industrial robots A. Klimchik, Y modeling of heavy industrial robots with gravity compensators. The main attention is paid of huge aircraft compo- nents where industrial robots successfully replace conven- tional CNC
Multi-parameter control for centrifugal compressor performance optimization
Mannai, Sébastien (Sébastien Karim)
2014-01-01T23:59:59.000Z
The potential performance benefit of actuating inlet guide vane (IGV) angle, variable diffuser vane (VDV) angle and impeller speed to implement a multi-parameter control on a centrifugal compressor system is assessed. The ...
accurate fundamental parameters: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
endeavor can also be applied to similar problems such as the determination of the Higgs boson couplings at the LHC. Dirk Zerwas 2009-09-30 4 Fundamental Parameters of Massive...
Characterization of Geomechanical Poroelastic Parameters in Tight Rocks
Chen Valdes, Clotilde Raquel
2013-08-15T23:59:59.000Z
. Experimental procedures under drained, undrained and unjacketed conditions were initially completed in Berea Sandstone. Then, Indiana Limestone, Westerly Granite and Welded Tuff specimens were tested in order to obtain Skempton’s pore pressure parameter B, Biot...
High-Speed Parameter Estimation Algorithms For Nonlinear Smart Materials
for ferroelectric, ferromagnetic, and ferroelastic materials is the estimation or identification of material alters the position of the cutting head. The nonlinear material behavior creates difficulty whenHigh-Speed Parameter Estimation Algorithms For Nonlinear Smart Materials Jon M. Ernstberger
The Optimization of Control Parameters for VAV HVAC System Commissioning
Song, S.; Maehara, K.; Sagara, N.
2006-01-01T23:59:59.000Z
One of the technical subjects in commissioning for HVAC system is to enhance control performance and time efficiency, while the tuning of the optimal parameters to control HVAC system takes much time and labor in particular. Therefore, we propose a...
Impacts of Some Building Design Parameters on Heat Pump Applications
Erdim, B.; Manioglu, G.
2011-01-01T23:59:59.000Z
One of the most important properties of a sustainable building is to provide thermal comfort conditions for users with a minimum heating and cooling energy consumption. Therefore, primary design parameters of building should be developed...
A Lumped Parameter Model for the Edwards Aquifer
Anaya, Roberto; Wanakule, Nisai
1993-01-01T23:59:59.000Z
A lumped parameter model has been developed to simulate monthly water levels and spring flows in the Edwards Aquifer. It is less complex and easier to use than the existing complex finite difference models for the Edwards Aquifer. The lumped...
Force Field Parameter Estimation of Functional Perfluoropolyether Lubricants
Smith, R.; Chung, P.S.; Steckel, J; Jhon, M.S.; Biegler, L.T.
2011-01-01T23:59:59.000Z
The head disk interface in hard disk drive can be considered one of the hierarchical multiscale systems, which require the hybridization of multiscale modeling methods with coarse-graining procedure. However, the fundamental force field parameters are required to enable the coarse-graining procedure from atomistic/molecular scale to mesoscale models .In this paper, we investigate beyond molecular level and perform ab-initio calculations to obtain the force field parameters. Intramolecular force field parameters for the Zdol and Ztetraol were evaluated with truncated PFPE molecules to allow for feasible quantum calculations while still maintaining the characteristic chemical structure of the end groups. Using the harmonic approximation to the bond and angle potentials, the parameters were derived from the Hessian matrix, and the dihedral force constants are fit to the torsional energy profiles generated by a series of constrained molecular geometry optimization.
Intermolecular potential parameters and combining rules determined from viscosity data
Bastien, Lucas A.J.; Price, Phillip N.; Brown, Nancy J.
2010-05-07T23:59:59.000Z
The Law of Corresponding States has been demonstrated for a number of pure substances and binary mixtures, and provides evidence that the transport properties viscosity and diffusion can be determined from a molecular shape function, often taken to be a Lennard-Jones 12-6 potential, that requires two scaling parameters: a well depth {var_epsilon}{sub ij} and a collision diameter {sigma}{sub ij}, both of which depend on the interacting species i and j. We obtain estimates for {var_epsilon}{sub ij} and {sigma}{sub ij} of interacting species by finding the values that provide the best fit to viscosity data for binary mixtures, and compare these to calculated parameters using several 'combining rules' that have been suggested for determining parameter values for binary collisions from parameter values that describe collisions of like molecules. Different combining rules give different values for {sigma}{sub ij} and {var_epsilon}{sub ij} and for some mixtures the differences between these values and the best-fit parameter values are rather large. There is a curve in ({var_epsilon}{sub ij}, {sigma}{sub ij}) space such that parameter values on the curve generate a calculated viscosity in good agreement with measurements for a pure gas or a binary mixture. The various combining rules produce couples of parameters {var_epsilon}{sub ij}, {sigma}{sub ij} that lie close to the curve and therefore generate predicted mixture viscosities in satisfactory agreement with experiment. Although the combining rules were found to underpredict the viscosity in most of the cases, Kong's rule was found to work better than the others, but none of the combining rules consistently yields parameter values near the best-fit values, suggesting that improved rules could be developed.
2-port parameters z for extrinsic fT
Pulfrey, David L.
to the short-circuit current gain 4. |id/ig|2 = |-z23/z33|2 5. Extrapolated fT is projection at -20d from currents under various short-circuit conditions z-parameters are measured from voltages under INTRINSIC circuit to one using z-parameters 2. It's now easy to add in the parasitic R's 3. fT is related
The First Lunar Ranging Constraints on Gravity Sector SME Parameters
James B. R. Battat; John F. Chandler; Christopher Stubbs
2007-10-03T23:59:59.000Z
We present the first constraints on pure-gravity sector Standard-Model Extension (SME) parameters using Lunar Laser Ranging (LLR). LLR measures the round trip travel time of light between the Earth and the Moon. With 34+ years of LLR data, we have constrained six independent linear combinations of SME parameters at the level of $10^{-6}$ to $10^{-11}$. There is no evidence for Lorentz violation in the LLR dataset.
MODAL PARAMETER EXTRACTION OF Z24 BRIDGE DATA.
Luscher, D.J.; Borwnjohn, J.M. [and others
2000-10-01T23:59:59.000Z
The vibration data obtained from ambient, drop-weight, and shaker excitation tests of the Z24 Bridge in Switzerland are analyzed to extract modal parameters such as natural frequencies, damping ratios, and mode shapes. Two system identification techniques including Frequency Domain Decomposition and Eigensystem Realization Algorithm are employed for the extraction of modal parameters and the stationarity of the bridge is also investigated using time-frequency analysis.
The LAMOST Stellar Parameter Pipeline at Peking University --- LSP3
Xiang, Maosheng; Yuan, Haibo; Huang, Yang; Huo, Zhiying; Zhang, Huawei; Chen, Bingqiu; Zhang, Huihua; Sun, Ningchen; Wang, Chun; Zhao, Yongheng; Shi, Jianrong; Luo, Ali; Li, Guoping; Wu, Yue; Bai, Zongrui; Zhang, Yong; Hou, Yonghui; Yuan, Hailong; Li, Guangwei
2014-01-01T23:59:59.000Z
We introduce the LAMOST Stellar Parameter Pipeline at Peking University --- LSP3, developed and implemented for the determinations of radial velocity $V_{\\rm r}$ and stellar atmospheric parameters (effective temperature $T_{\\rm eff}$, surface gravity log\\,$g$, metallicity [Fe/H]) for the LAMOST Spectroscopic Survey of the Galactic Anti-center (LSS-GAC). We describe the algorithms of LSP3 and examine the accuracy of parameters yielded by it. The precision and accuracy of parameters yielded are investigated by comparing results of multi-epoch observations and of candidate members of open and globular clusters, with photometric calibration, as well as with independent determinations available from a number of external databases, including the PASTEL archive, the APOGEE, SDSS and RAVE surveys, as well as those released in the LAMOST DR1. The uncertainties of LSP3 parameters are characterized and quantified as a function of the spectral signal-to-noise ratio (SNR) and stellar atmospheric parameters. We conclude th...
Estimating Building Simulation Parameters via Bayesian Structure Learning
Edwards, Richard E [ORNL; New, Joshua Ryan [ORNL; Parker, Lynne Edwards [ORNL
2013-01-01T23:59:59.000Z
Many key building design policies are made using sophisticated computer simulations such as EnergyPlus (E+), the DOE flagship whole-building energy simulation engine. E+ and other sophisticated computer simulations have several major problems. The two main issues are 1) gaps between the simulation model and the actual structure, and 2) limitations of the modeling engine's capabilities. Currently, these problems are addressed by having an engineer manually calibrate simulation parameters to real world data or using algorithmic optimization methods to adjust the building parameters. However, some simulations engines, like E+, are computationally expensive, which makes repeatedly evaluating the simulation engine costly. This work explores addressing this issue by automatically discovering the simulation's internal input and output dependencies from 20 Gigabytes of E+ simulation data, future extensions will use 200 Terabytes of E+ simulation data. The model is validated by inferring building parameters for E+ simulations with ground truth building parameters. Our results indicate that the model accurately represents parameter means with some deviation from the means, but does not support inferring parameter values that exist on the distribution's tail.
Analysis of neutron scattering data: Visualization and parameter estimation
Beauchamp, J.J.; Fedorov, V.; Hamilton, W.A.; Yethiraj, M.
1998-09-01T23:59:59.000Z
Traditionally, small-angle neutron and x-ray scattering (SANS and SAXS) data analysis requires measurements of the signal and corrections due to the empty sample container, detector efficiency and time-dependent background. These corrections are then made on a pixel-by-pixel basis and estimates of relevant parameters (e.g., the radius of gyration) are made using the corrected data. This study was carried out in order to determine whether treatment of the detector efficiency and empty sample cell in a more statistically sound way would significantly reduce the uncertainties in the parameter estimators. Elements of experiment design are shortly discussed in this paper. For instance, we studied the way the time for a measurement should be optimally divided between the counting for signal, background and detector efficiency. In Section 2 we introduce the commonly accepted models for small-angle neutron and x-scattering and confine ourselves to the Guinier and Rayleigh models and their minor generalizations. The traditional approaches of data analysis are discussed only to the extent necessary to allow their comparison with the proposed techniques. Section 3 describes the main stages of the proposed method: visual data exploration, fitting the detector sensitivity function, and fitting a compound model. This model includes three additive terms describing scattering by the sampler, scattering with an empty container and a background noise. We compare a few alternatives for the first term by applying various scatter plots and computing sums of standardized squared residuals. Possible corrections due to smearing effects and randomness of estimated parameters are also shortly discussed. In Section 4 the robustness of the estimators with respect to low and upper bounds imposed on the momentum value is discussed. We show that for the available data set the most accurate and stable estimates are generated by models containing double terms either of Guinier's or Rayleigh's type. The optimal partitioning of the total experimental time between measuring various signals is discussed in Section 5. We applied a straightforward optimization instead of some special experimental techniques because of the numerical simplicity of the corresponding problem. As a criterion of optimality we selected the variance of the gyration radius maximum likelihood estimator. The statistical background of the proposed approach is given in the appendix. The properties of the maximum likelihood estimators and the corresponding iterated estimator together with its possible numerical realization are presented in subsection A.1. In subsection A.2 we prove that the use of a compound model leads to more efficient estimators than a stage-wise analysis of different components entering that model.
Geographic and Operational Site Parameters List (GOSPL) for Hanford Assessments
Last, George V.; Nichols, William E.; Kincaid, Charles T.
2006-06-01T23:59:59.000Z
This data package was originally prepared to support a 2004 composite analysis (CA) of low-level waste disposal at the Hanford Site. The Technical Scope and Approach for the 2004 Composite Analysis of Low Level Waste Disposal at the Hanford Site (Kincaid et. al. 2004) identified the requirements for that analysis and served as the basis for initial preparation of this data package. Completion of the 2004 CA was later deferred, with the 2004 Annual Status Report for the Composite Analysis of Low-Level Waste Disposal in the Central Plateau at the Hanford Site (DOE 2005) indicating that a comprehensive update to the CA was in preparation and would be submitted in 2006. However, the U.S. Department of Energy (DOE) has recently decided to further defer the CA update and will use the cumulative assessment currently under preparation for the environmental impact statement (EIS) being prepared for tank closure and other site decisions as the updated CA. Submittal of the draft EIS is currently planned for FY 2008. This data package describes the facility-specific parameters (e.g. location, operational dates, etc.) used to numerically simulate contaminant flow and transport in large-scale Hanford assessments. Kincaid et al. (2004) indicated that the System Assessment Capability (SAC) (Kincaid et al. 2000; Bryce et al. 2002; Eslinger 2002a, 2002b) would be used to analyze over a thousand different waste sites. A master spreadsheet termed the Geographic and Operational Site Parameters List (GOSPL) was assembled to facilitate the generation of keyword input files containing general information on each waste site/facility, its operational/disposal history, and its environmental settings (past, current, and future). This report briefly describes each of the key data fields, including the source(s) of data, and provides the resulting inputs to be used for large-scale Hanford assessments.
Sun, Yu; Hou, Zhangshuan; Huang, Maoyi; Tian, Fuqiang; Leung, Lai-Yung R.
2013-12-10T23:59:59.000Z
This study demonstrates the possibility of inverting hydrologic parameters using surface flux and runoff observations in version 4 of the Community Land Model (CLM4). Previous studies showed that surface flux and runoff calculations are sensitive to major hydrologic parameters in CLM4 over different watersheds, and illustrated the necessity and possibility of parameter calibration. Two inversion strategies, the deterministic least-square fitting and stochastic Markov-Chain Monte-Carlo (MCMC) - Bayesian inversion approaches, are evaluated by applying them to CLM4 at selected sites. The unknowns to be estimated include surface and subsurface runoff generation parameters and vadose zone soil water parameters. We find that using model parameters calibrated by the least-square fitting provides little improvements in the model simulations but the sampling-based stochastic inversion approaches are consistent - as more information comes in, the predictive intervals of the calibrated parameters become narrower and the misfits between the calculated and observed responses decrease. In general, parameters that are identified to be significant through sensitivity analyses and statistical tests are better calibrated than those with weak or nonlinear impacts on flux or runoff observations. Temporal resolution of observations has larger impacts on the results of inverse modeling using heat flux data than runoff data. Soil and vegetation cover have important impacts on parameter sensitivities, leading to the different patterns of posterior distributions of parameters at different sites. Overall, the MCMC-Bayesian inversion approach effectively and reliably improves the simulation of CLM under different climates and environmental conditions. Bayesian model averaging of the posterior estimates with different reference acceptance probabilities can smooth the posterior distribution and provide more reliable parameter estimates, but at the expense of wider uncertainty bounds.
FY2014 Parameters for Gold Ions in Booster, AGS, and RHIC
Gardner, C. J. [Brookhaven National Lab. (BNL), Upton, NY (United States). Collider-Accelerator Dept.
2014-07-30T23:59:59.000Z
The nominal parameters for gold ions in Booster, AGS, and RHIC are given for the FY2014 running period. The parameters are worked out using various formulas to derive mass, kinetic parameters, RF parameters, ring parameters etc.. The ''standard setup'', ''medium-energy'', and ''low-energy'' parameters are summarized in separate sections.
{gamma} parameter and Solar System constraint in chameleon-Brans-Dicke theory
Saaidi, Kh.; Mohammadi, A.; Sheikhahmadi, H. [Department of Physics, Faculty of Science, University of Kurdistan, Sanandaj (Iran, Islamic Republic of)
2011-05-15T23:59:59.000Z
The post Newtonian parameter is considered in the chameleon-Brans-Dicke model. In the first step, the general form of this parameter and also effective gravitational constant is obtained. An arbitrary function for f({Phi}), which indicates the coupling between matter and scalar field, is introduced to investigate validity of solar system constraint. It is shown that the chameleon-Brans-Dicke model can satisfy the solar system constraint and gives us an {omega} parameter of order 10{sup 4}, which is in comparable to the constraint which has been indicated in [19].
Dynamic measurements of the nonlinear elastic parameter A in rock under varying conditions
saturation. INDEX TERMS: 5102 Physical Properties of Rocks: Acoustic properties; 5112 Physical Properties of Rocks: Microstructure; 5199 Physical Properties of Rocks: General or miscellaneous; 9810 GeneralDynamic measurements of the nonlinear elastic parameter A in rock under varying conditions Paul A
Environmental Transport Input Parameters for the Biosphere Model
M. A. Wasiolek
2003-06-27T23:59:59.000Z
This analysis report is one of the technical reports documenting the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN), a biosphere model supporting the total system performance assessment (TSPA) for the geologic repository at Yucca Mountain. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows relationships among the reports developed for biosphere modeling and biosphere abstraction products for the TSPA, as identified in the ''Technical Work Plan: for Biosphere Modeling and Expert Support'' (TWP) (BSC 2003 [163602]). Some documents in Figure 1-1 may be under development and not available when this report is issued. This figure provides an understanding of how this report contributes to biosphere modeling in support of the license application (LA), but access to the listed documents is not required to understand the contents of this report. This report is one of the reports that develops input parameter values for the biosphere model. The ''Biosphere Model Report'' (BSC 2003 [160699]) describes the conceptual model, the mathematical model, and the input parameters. The purpose of this analysis is to develop biosphere model parameter values related to radionuclide transport and accumulation in the environment. These parameters support calculations of radionuclide concentrations in the environmental media (e.g., soil, crops, animal products, and air) resulting from a given radionuclide concentration at the source of contamination (i.e., either in groundwater or volcanic ash). The analysis was performed in accordance with the TWP (BSC 2003 [163602]). This analysis develops values of parameters associated with many features, events, and processes (FEPs) applicable to the reference biosphere (DTN: M00303SEPFEPS2.000 [162452]), which are addressed in the biosphere model (BSC 2003 [160699]). The treatment of these FEPs is described in BSC (2003 [160699], Section 6.2). Parameter values developed in this report, and the related FEPs, are listed in Table 1-1. The relationship between the parameters and FEPs was based on a comparison of the parameter definition and the FEP descriptions as presented in BSC (2003 [160699], Section 6.2). The parameter values developed in this report support the biosphere model and are reflected in the TSPA through the biosphere dose conversion factors (BDCFs). Biosphere modeling focuses on radionuclides screened for the TSPA-LA (BSC 2002 [160059]). The same list of radionuclides is used in this analysis (Section 6.1.4). The analysis considers two human exposure scenarios (groundwater and volcanic ash) and climate change (Section 6.1.5). This analysis combines and revises two previous reports, ''Transfer Coefficient Analysis'' (CRWMS M&O 2000 [152435]) and ''Environmental Transport Parameter Analysis'' (CRWMS M&O 2001 [152434]), because the new ERMYN biosphere model requires a redefined set of input parameters. The scope of this analysis includes providing a technical basis for the selection of radionuclide- and element-specific biosphere parameters (except for Kd) that are important for calculating BDCFs based on the available radionuclide inventory abstraction data. The environmental transport parameter values were developed specifically for use in the biosphere model and may not be appropriate for other applications.
Status of three-neutrino oscillation parameters, circa 2013
F. Capozzi; G. L. Fogli; E. Lisi; A. Marrone; D. Montanino; A. Palazzo
2014-05-05T23:59:59.000Z
The standard three-neutrino (3nu) oscillation framework is being increasingly refined by results coming from different sets of experiments, using neutrinos from solar, atmospheric, accelerator and reactor sources. At present, each of the known oscillation parameters [the two squared mass gaps (delta m^2, Delta m^2) and the three mixing angles (theta_12}, theta_13, theta_23)] is dominantly determined by a single class of experiments. Conversely, the unknown parameters [the mass hierarchy, the theta_23 octant and the CP-violating phase delta] can be currently constrained only through a combined analysis of various (eventually all) classes of experiments. In the light of recent new results coming from reactor and accelerator experiments, and of their interplay with solar and atmospheric data, we update the estimated N-sigma ranges of the known 3nu parameters, and revisit the status of the unknown ones. Concerning the hierarchy, no significant difference emerges between normal and inverted mass ordering. A slight overall preference is found for theta_23 in the first octant and for nonzero CP violation with sin delta < 0; however, for both parameters, such preference exceeds 1 sigma only for normal hierarchy. We also discuss the correlations and stability of the oscillation parameters within different combinations of data sets.
The Impact of Uncertain Physical Parameters on HVAC Demand Response
Sun, Yannan; Elizondo, Marcelo A.; Lu, Shuai; Fuller, Jason C.
2014-03-01T23:59:59.000Z
HVAC units are currently one of the major resources providing demand response (DR) in residential buildings. Models of HVAC with DR function can improve understanding of its impact on power system operations and facilitate the deployment of DR technologies. This paper investigates the importance of various physical parameters and their distributions to the HVAC response to DR signals, which is a key step to the construction of HVAC models for a population of units with insufficient data. These parameters include the size of floors, insulation efficiency, the amount of solid mass in the house, and efficiency of the HVAC units. These parameters are usually assumed to follow Gaussian or Uniform distributions. We study the effect of uncertainty in the chosen parameter distributions on the aggregate HVAC response to DR signals, during transient phase and in steady state. We use a quasi-Monte Carlo sampling method with linear regression and Prony analysis to evaluate sensitivity of DR output to the uncertainty in the distribution parameters. The significance ranking on the uncertainty sources is given for future guidance in the modeling of HVAC demand response.
GRID-BASED EXPLORATION OF COSMOLOGICAL PARAMETER SPACE WITH SNAKE
Mikkelsen, K.; Næss, S. K.; Eriksen, H. K., E-mail: kristin.mikkelsen@astro.uio.no [Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029, Blindern, NO-0315 Oslo (Norway)
2013-11-10T23:59:59.000Z
We present a fully parallelized grid-based parameter estimation algorithm for investigating multidimensional likelihoods called Snake, and apply it to cosmological parameter estimation. The basic idea is to map out the likelihood grid-cell by grid-cell according to decreasing likelihood, and stop when a certain threshold has been reached. This approach improves vastly on the 'curse of dimensionality' problem plaguing standard grid-based parameter estimation simply by disregarding grid cells with negligible likelihood. The main advantages of this method compared to standard Metropolis-Hastings Markov Chain Monte Carlo methods include (1) trivial extraction of arbitrary conditional distributions; (2) direct access to Bayesian evidences; (3) better sampling of the tails of the distribution; and (4) nearly perfect parallelization scaling. The main disadvantage is, as in the case of brute-force grid-based evaluation, a dependency on the number of parameters, N{sub par}. One of the main goals of the present paper is to determine how large N{sub par} can be, while still maintaining reasonable computational efficiency; we find that N{sub par} = 12 is well within the capabilities of the method. The performance of the code is tested by comparing cosmological parameters estimated using Snake and the WMAP-7 data with those obtained using CosmoMC, the current standard code in the field. We find fully consistent results, with similar computational expenses, but shorter wall time due to the perfect parallelization scheme.
Mueller Matrix Parameters for Radio Telescopes and their Observational Determination
Carl Heiles; Phil Perillat; Michael Nolan; Duncan Lorimer; Ramesh Bhat; Tapasi Ghosh; Murray Lewis; Karen O'Neil; Chris Salter; Snezana Stanimirovic
2001-07-18T23:59:59.000Z
Modern digital crosscorrelators permit the simultaneous measurement of all four Stokes parameters. However, the results must be calibrated to correct for the polarization transfer function of the receiving system. The transfer function for any device can be expressed by its Mueller matrix. We express the matrix elements in terms of fundamental system parameters that describe the voltage transfer functions (known as the Jones matrix) of the various system devices in physical terms and thus provide a means for comparing with engineering calculations and investigating the effects of design changes. We describe how to determine these parameters with astronomical observations. We illustrate the method by applying it to some of the receivers at the Arecibo Observatory.
On the choice of parameters in solar structure inversion
M. C. Rabello-Soares; Sarbani Basu; J. Christensen-Dalsgaard
1999-05-10T23:59:59.000Z
The observed solar p-mode frequencies provide a powerful diagnostic of the internal structure of the Sun and permit us to test in considerable detail the physics used in the theory of stellar structure. Amongst the most commonly used techniques for inverting such helioseismic data are two implementations of the optimally localized averages (OLA) method, namely the Subtractive Optimally Localized Averages (SOLA) and Multiplicative Optimally Localized Averages (MOLA). Both are controlled by a number of parameters, the proper choice of which is very important for a reliable inference of the solar internal structure. Here we make a detailed analysis of the influence of each parameter on the solution and indicate how to arrive at an optimal set of parameters for a given data set.
Kalman filter data assimilation: Targeting observations and parameter estimation
Bellsky, Thomas, E-mail: bellskyt@asu.edu; Kostelich, Eric J.; Mahalov, Alex [School of Mathematical and Statistical Sciences, Arizona State University, Tempe, Arizona 85287 (United States)] [School of Mathematical and Statistical Sciences, Arizona State University, Tempe, Arizona 85287 (United States)
2014-06-15T23:59:59.000Z
This paper studies the effect of targeted observations on state and parameter estimates determined with Kalman filter data assimilation (DA) techniques. We first provide an analytical result demonstrating that targeting observations within the Kalman filter for a linear model can significantly reduce state estimation error as opposed to fixed or randomly located observations. We next conduct observing system simulation experiments for a chaotic model of meteorological interest, where we demonstrate that the local ensemble transform Kalman filter (LETKF) with targeted observations based on largest ensemble variance is skillful in providing more accurate state estimates than the LETKF with randomly located observations. Additionally, we find that a hybrid ensemble Kalman filter parameter estimation method accurately updates model parameters within the targeted observation context to further improve state estimation.
Solar Model Parameters and Direct Measurements of Solar Neutrino Fluxes
Abhijit Bandyopadhyay; Sandhya Choubey; Srubabati Goswami; S. T. Petcov
2006-08-30T23:59:59.000Z
We explore a novel possibility of determining the solar model parameters, which serve as input in the calculations of the solar neutrino fluxes, by exploiting the data from direct measurements of the fluxes. More specifically, we use the rather precise value of the $^8B$ neutrino flux, $\\phi_B$ obtained from the global analysis of the solar neutrino and KamLAND data, to derive constraints on each of the solar model parameters on which $\\phi_B$ depends. We also use more precise values of $^7Be$ and $pp$ fluxes as can be obtained from future prospective data and discuss whether such measurements can help in reducing the uncertainties of one or more input parameters of the Standard Solar Model.
Preliminary Pulsing Experiments to Measure Delayed Neutron Emission Parameters
Charlton, W.S.; Parish, T.A.; Raman, S.
1998-10-05T23:59:59.000Z
Recent interest in delayed neutron parameters including comparisons between macroscopic (experimental) and microscopic (calculated) results have prompted a set of experiments using the 1MW Triga Reactor at the Texas A and M University (TAMU) Nuclear Science Center (NSC) designed to measure the complete set of seven-group delayed neutron parameters for several higher actinides. Operating the Nuclear Science Center Reactor (NSCR) in a pulsed mode, a complete set of delayed neutron parameters were measured for Np-237 and Am-243. The total delayed neutron yield per 100 fissions for Np-237 and Am-243 was found to be 1.14 {+-} 0.07 and 0.85 {+-} 0.05, respectively. Comparisons to previous measurements are made where such measurements are available.
Transient Flow in a Heterogeneous Vadose Zone with Uncertain Parameters
A. M. Tartakovsky; Luis Garcia-Naranjo; Daniel M. Tartakovsky
2004-02-01T23:59:59.000Z
We consider transient flow in unsaturated heterogeneous porous media with uncertain hydraulic parameters. Our aim is to provide unbiased predictions (estimates) of system states, such as pressure head, water content, and fluxes, and to quantify the uncertainty associated with such predictions. We achieve this goal by treating hydraulic parameters as random fields and the corresponding flow equations as stochastic. Current stochastic analyses of transient flow in partially saturated soils require linearization of the constitutive relations, which may lead to significant inaccuracies when these relations are highly nonlinear. If relative conductivity and saturation vary exponentially with pressure and the corresponding scaling parameters are random variables, the transient Richards equation is mapped onto a linear equation by means of the Kirchhoff transformation. This allows us to develop deterministic differential equations for the first and second ensemble moments of pressure and saturation. We solve these equations analytically, for vertical infiltration, and compare them with direct Monte Carlo simulations.
Climate Engineering with Stratospheric Aerosols and Associated Engineering Parameters
Kravitz, Benjamin S.
2013-02-12T23:59:59.000Z
Climate engineering with stratospheric aerosols, an idea inspired by large volcaniceruptions, could cool the Earth’s surface and thus alleviate some of the predicted dangerous impacts of anthropogenic climate change. However, the effectiveness of climate engineering to achieve a particular climate goal, and any associated side effects, depend on certain aerosol parameters and how the aerosols are deployed in the stratosphere. Through the examples of sulfate and black carbon aerosols, this paper examines "engineering" parameters-aerosol composition, aerosol size, and spatial and temporal variations in deployment-for stratospheric climate engineering. The effects of climate engineering are sensitive to these parameters, suggesting that a particle could be found ordesigned to achieve specific desired climate outcomes. This prospect opens the possibility for discussion of societal goals for climate engineering.
Microscopic analysis of order parameters in nuclear quantum phase transitions
Li, Z. P. [State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871 (China); Physics Department, Faculty of Science, University of Zagreb, HR-10000 Zagreb (Croatia); Niksic, T. [Physics Department, Faculty of Science, University of Zagreb, HR-10000 Zagreb (Croatia); Vretenar, D. [Physics Department, Faculty of Science, University of Zagreb, HR-10000 Zagreb (Croatia); Kavli Institute for Theoretical Physics China, CAS, Beijing 100190 (China); Meng, J. [State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871 (China); Kavli Institute for Theoretical Physics China, CAS, Beijing 100190 (China); School of Physics and Nuclear Energy Engineering, Beihang University, Beijing 100191 (China)
2009-12-15T23:59:59.000Z
Microscopic signatures of nuclear ground-state shape phase transitions in Nd isotopes are studied using excitation spectra and collective wave functions obtained by diagonalization of a five-dimensional Hamiltonian for quadrupole vibrational and rotational degrees of freedom, with parameters determined by constrained self-consistent relativistic mean-field calculations for triaxial shapes. As a function of the physical control parameter, the number of nucleons, energy gaps between the ground state and the excited vibrational states with zero angular momentum, isomer shifts, and monopole transition strengths exhibit sharp discontinuities at neutron number N=90, which is characteristic of a first-order quantum phase transition.
Method of determining forest production from remotely sensed forest parameters
Corey, J.C.; Mackey, H.E. Jr.
1987-08-31T23:59:59.000Z
A method of determining forest production entirely from remotely sensed data in which remotely sensed multispectral scanner (MSS) data on forest 5 composition is combined with remotely sensed radar imaging data on forest stand biophysical parameters to provide a measure of forest production. A high correlation has been found to exist between the remotely sensed radar imaging data and on site measurements of biophysical 10 parameters such as stand height, diameter at breast height, total tree height, mean area per tree, and timber stand volume.
Neutrino-nucleus interactions and the determination of oscillation parameters
Omar Benhar; Patrick Huber; Camillo Mariani; Davide Meloni
2015-01-26T23:59:59.000Z
We review the status and prospects of theoretical studies of neutrino-nucleus interactions, and discuss the influence of the treatment of nuclear effects on the determination of oscillation parameters. The models developed to describe the variety of reaction mechanisms contributing to the nuclear cross sections are analysed, with emphasis placed on their capability to reproduce the available electron scattering data.The impact of the uncertainties associated with the description of nuclear dynamics on the the oscillation parameters is illustrated through examples, and possible avenues towards a better understanding of the signals detected by long baseline experiments are outlined.
Neutrino-nucleus interactions and the determination of oscillation parameters
Benhar, Omar; Mariani, Camillo; Meloni, Davide
2015-01-01T23:59:59.000Z
We review the status and prospects of theoretical studies of neutrino-nucleus interactions, and discuss the influence of the treatment of nuclear effects on the determination of oscillation parameters. The models developed to describe the variety of reaction mechanisms contributing to the nuclear cross sections are analysed, with emphasis placed on their capability to reproduce the available electron scattering data.The impact of the uncertainties associated with the description of nuclear dynamics on the the oscillation parameters is illustrated through examples, and possible avenues towards a better understanding of the signals detected by long baseline experiments are outlined.
Parameter identification for the electrical modeling of semiconductor bridges.
Gray, Genetha Anne
2005-03-01T23:59:59.000Z
Semiconductor bridges (SCBs) are commonly used as initiators for explosive and pyrotechnic devices. Their advantages include reduced voltage and energy requirements and exceptional safety features. Moreover, the design of systems which implement SCBs can be expedited using electrical simulation software. Successful use of this software requires that certain parameters be correctly chosen. In this paper, we explain how these parameters can be identified using optimization. We describe the problem focusing on the application of a direct optimization method for its solution, and present some numerical results.
Neutron Resonance Parameters and Covariance Matrix of 239Pu
Derrien, Herve [ORNL; Leal, Luiz C [ORNL; Larson, Nancy M [ORNL
2008-08-01T23:59:59.000Z
In order to obtain the resonance parameters in a single energy range and the corresponding covariance matrix, a reevaluation of 239Pu was performed with the code SAMMY. The most recent experimental data were analyzed or reanalyzed in the energy range thermal to 2.5 keV. The normalization of the fission cross section data was reconsidered by taking into account the most recent measurements of Weston et al. and Wagemans et al. A full resonance parameter covariance matrix was generated. The method used to obtain realistic uncertainties on the average cross section calculated by SAMMY or other processing codes was examined.
On-fiber plasmonic interferometer for multi-parameter sensing
Zhang, Zhijian [Univ. of Maryland, College Park, MD (United States); Chen, Yongyao [Univ. of Maryland, College Park, MD (United States); Liu, Haijun [Univ. of Maryland, College Park, MD (United States); National Inst. of Standards and Technology, Gaithersburg, MD (United States); Bae, Hyungdae [Univ. of Maryland, College Park, MD (United States); Olson, Douglas A. [National Inst. of Standards and Technology, Gaithersburg, MD (United States); Gupta, Ashwani K. [Univ. of Maryland, College Park, MD (United States); Yu, Miao [Univ. of Maryland, College Park, MD (United States)
2015-01-01T23:59:59.000Z
We demonstrate a novel miniature multi-parameter sensing device based on a plasmonic interferometer fabricated on a fiber facet in the optical communication wavelength range. This device enables the coupling between surface plasmon resonance and plasmonic interference in the structure, which are the two essential mechanisms for multi-parameter sensing. We experimentally show that these two mechanisms have distinctive responses to temperature and refractive index, rendering the device the capability of simultaneous temperature and refractive index measurement on an ultra-miniature form factor. A high refractive index sensitivity of 220 nm per refractive index unit (RIU) and a high temperature sensitivity of –60 pm/ °C is achieved with our device.
A novel method for improving the accuracy of parameter estimates
Otter, Russell William
1985-01-01T23:59:59.000Z
one fluid, Darcy's law can be written for each fluid. In the specific case of oil and water, designated by the subscripts o and w respectively, the equations are -Kk, ? aP v Bx -Kk?ap v sx (2) (3) Here k, ? and kryo are the relative... efficient oil production scemes. In order for the simulations to be accurate the mathematical models used must be appropriate and the parameters in the model equations must be correct. The parameters of importance, to petroleum reservoir simulation...
Characteristics of meteorological parameters associated with Hurricane Isabel
Singh, Ramesh P.
Characteristics of meteorological parameters associated with Hurricane Isabel R. Gautam, G. Cervone-sea interactions associated with Hurricane Isabel, which landed on the east coast of the United States on September 18, 2003. Hurricane Isabel is considered to be one of the most significant and severe tropical
Camera Parameters Estimation from Hand-labelled Sun Sositions
Treuille, Adrien
Camera Parameters Estimation from Hand-labelled Sun Sositions in Image Sequences Jean the sun is visible in an image sequence. The technique requires a user to label the position of the sun Results on Real Data 7 6 Summary 8 #12;#12;1 1 Introduction In this document, we show that if the sun
STATE-PARAMETER IDENTIFICATION PROBLEMS FOR ACCURATE BUILDING ENERGY AUDITS
Paris-Sud XI, Université de
STATE-PARAMETER IDENTIFICATION PROBLEMS FOR ACCURATE BUILDING ENERGY AUDITS Jordan Brouns1 a fast method for computing model's sensitivities. INTRODUCTION Building energy performance simulation Universit´e de La Rochelle, LaSIE, FER 3474 CNRS, France ABSTRACT Building performance simulation often
INTRODUCTION TO THREE-NEUTRINO MIXING PARAMETERS LISTINGS
.79 of the review "Neutrino Mass, Mixing and Oscillations" by K. Nakamura and S.T. Petcov.) Whether appear in the listings. The familiar two neutrino form for oscillations is P(a b) = sin2 (2) sin2 (m2 L 1 INTRODUCTION TO THREE-NEUTRINO MIXING PARAMETERS LISTINGS Updated April 2012 by M. Goodman
Anatomic measurement accuracy: CT parameters and 3D rendering effects
Vorperian, Houri K.
Anatomic measurement accuracy: CT parameters and 3D rendering effects Brian J Whyms a, E Michael of Neuroscience #12;INTRODUCTION · Measurements from 3D-CT rendering are used in research and clinical management-CT rendering techniques on measurements #12;METHODS Scanned: · 3 human mandibles · a phantom object Phantom
UNSCENTED KALMAN FILTERING FOR SPACECRAFT ATTITUDE STATE AND PARAMETER ESTIMATION
Hall, Christopher D.
AAS-04-115 UNSCENTED KALMAN FILTERING FOR SPACECRAFT ATTITUDE STATE AND PARAMETER ESTIMATION Matthew C. VanDyke , Jana L. Schwartz , Christopher D. Hall An Unscented Kalman Filter (UKF) is derived with an Extended Kalman Filter (EKF). The EKF is an extension of the linear Kalman Filter for nonlinear systems
Wind parameters extraction from aircraft trajectories C. Hurtera,
Paris-Sud XI, Université de
Wind parameters extraction from aircraft trajectories C. Hurtera, , R. Alligiera,b , D. Gianazzaa traffic controllers need to know the current wind magnitude and direction since they impact every flying vessel. The wind may accel- erate or slow down an aircraft, depending on its relative direction
Estimating the Parameters of the Marshall Olkin Bivariate Weibull
Kundu, Debasis
Estimating the Parameters of the Marshall Olkin Bivariate Weibull Distribution by EM Algorithm Debasis Kundu & Arabin Kumar Dey Abstract In this paper we consider the Marshall-Olkin bivariate Weibull distribution. The Marshall-Olkin bivariate Weibull distribution is a singular distribution, whose both
Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data
California at Los Angeles, University of
in terms of the observed data, which is asymptotically consistent. Based on this framework, we contributeEfficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data Guy Van den Broeck and Karthika Mohan and Arthur Choi and Judea Pearl University of California, Los Angeles Los
Estimation of steady-state basic parameters of stars
B. V. Vasiliev
2000-03-30T23:59:59.000Z
From a minimum of total energy of celestial bodies, their basic parameters are obtained. The steady-state values of the mass, radius, and temperature of stars and white dwarfs, as well as masses of pulsars are calculated. The luminosity and giromagnetic ratio of celestial bodies are estimated. All the obtained values are in a satisfactory agreement with observation data.
Simulator Building and Parameter Optimization of an Autonomous Robotic Fish
Hu, Huosheng
Simulator Building and Parameter Optimization of an Autonomous Robotic Fish Jindong Liu, Huosheng@essex.ac.uk Abstract-- This paper presents a short review on the research of robotic fish. A simulation environment for robotic fish is built and the experiment shows that it is a convenient way to make research on the robotic
Transferability of cleavage fracture parameters between notched and cracked geometries
Boyer, Edmond
and specimen geometry dependence of cleavage fracture micromechanisms of a French pressure vessel steel (A508 that only NT tests with a mean fracture strain lower than 25% have to be considered to make sure ; Â¢ 50 Â£ C ]. Also a unique set of Weibull parameters was found to describe all the NT tests over
Surface Topography Quantification by Integral and Feature-related Parameters
Smid, Michiel
Surface Topography Quantification by Integral and Feature-related Parameters Quantifizieren von microscopy, the topography of brittle fracture surfaces and wire- eroded surfaces was quantified. The globalÈche, Topometrie 1 Introduction Surface topographies contain information about their gen- eration processes
Time parameters and Lorentz transformations of relativistic stochastic processes
Jörn Dunkel; Peter Hänggi; Stefan Weber
2008-12-02T23:59:59.000Z
Rules for the transformation of time parameters in relativistic Langevin equations are derived and discussed. In particular, it is shown that, if a coordinate-time parameterized process approaches the relativistic Juttner-Maxwell distribution, the associated proper-time parameterized process converges to a modified momentum distribution, differing by a factor proportional to the inverse energy.
Parameter Control Methods for Selection Operators in Genetic Algorithms
Eiben, A.E. "Guszti"
of such methods on three groups of test functions and conclude that varying se- lection pressure during a GA run largely on their parameters, such as population size, selection pressure, crossover and mutation rates size determines the selection pressure, and can thus be used to control the selection operator [11
Left-right-symmetric model parameters: Updated bounds
Polak, J.; Zralek, M. (Department of Field Theory and Particle Physics, The University of Silesia, Uniwersytecka 4, PL-40-007 Katowice (Poland))
1992-11-01T23:59:59.000Z
Using the available updated experimental data, including the last results from the CERN {ital e}{sup +}{ital e{minus}} collider LEP and improved parity-violation results, we find new constraints on the parameters in the left-right-symmetric model in the case of light right-handed neutrinos.
Nuisance parameters, composite likelihoods and a panel of GARCH models
Wolfe, Patrick J.
Nuisance parameters, composite likelihoods and a panel of GARCH models Cavit Pakel Department ) GARCH panels. The defining feature of a GARCH panel with time-series length T is that, while nuisance on the application of the composite likelihood (CL) method to GARCH panels. A GARCH panel is a collection
Ductile damage parameters identification for cold metal forming applications
Paris-Sud XI, Université de
Ductile damage parameters identification for cold metal forming applications Pierre damage mechanics is essential to predict failure during cold metal forming applications. Several damage models can be found in the literature. These damage models are coupled with the mechanical behavior so
Effect of mechanical parameters on dielectric elastomer minimum energy structures
Floreano, Dario
Effect of mechanical parameters on dielectric elastomer minimum energy structures Jun Shintake energy structures Jun Shintake*a,b , Samuel Rosseta , Dario Floreanob , Herbert R. Sheaa a Microsystems for Space Technologies Laboratory, Ecole Polytechnique FÃ©dÃ©rale de Lausanne (EPFL), NeuchÃ¢tel, Switzerland b
Measurement of Electromagnetic Parameters and FDTD Modeling of Ferrite Cores
Koledintseva, Marina Y.
Measurement of Electromagnetic Parameters and FDTD Modeling of Ferrite Cores Jianfeng Xu #1 products based on magneto-dielectric (ferrite) materials with desirable frequency responses that satisfy simulation tool that could deal with frequency- dispersive materials. An example of a ferrite material
The robust impact parameter profile of inelastic collisions
I. M. Dremin
2014-07-17T23:59:59.000Z
It is shown that the impact parameter profile of inelastic hadron collisions is robust to admissible variations of the shape of the diffraction cone of elastic scattering. This conclusion is obtained using the unitarity condition and experimental data only with no phenomenological model inputs.
HANSEN SOLUBILITY PARAMETERS FOR A CARBON FIBER/EPOXY COMPOSITE
demonstrated as appropriate for the study of interactions between the materials in composite carbon fiberHANSEN SOLUBILITY PARAMETERS FOR A CARBON FIBER/EPOXY COMPOSITE HÃ©lÃ¨ne Launay* , Charles Medom and strength-to-weight ratios are required. The mechanical performance of composite materials depends not only
The reach of the ATLAS experiment in SUSY parameter space
Janet Dietrich
2009-10-29T23:59:59.000Z
Already with very first data, the ATLAS experiment should be sensitive to a SUSY signal well beyond the regions explored by the Tevatron. We present a detailed study of the ATLAS discovery reach in the parameter space for various SUSY models. The expected uncertainties on the background estimates are taken ito account.
Page 1 of 39 Unscented Importance Sampling for Parameter
Gracie, Robert
Page 1 of 39 Unscented Importance Sampling for Parameter Calibration of Carbon Sequestration. Keywords: CO2 sequestration, Uncertainty Mitigation, Bayesian Update, Importance Sampling #12;Page 2 of 39 1. Introduction Risk assessment and management are inevitable components of any CO2 Sequestration
Iterative Solution of Elliptic Equations with a Small Parameter
Segatti, Antonio
and engineering are modelled by partial differ- ential equations involving a small parameter defining a certain are positive semi-definite linear partial differential operators, such that the operator t2 L1 +L0 is coercive the properties of the operators Li and the vectors x and b describe the unknown u and the load f with respect
Multi-parameter estimating photometric redshifts with artificial neural networks
Lili Li; Yanxia Zhang; Yongheng Zhao; Dawei Yang
2007-04-17T23:59:59.000Z
We calculate photometric redshifts from the Sloan Digital Sky Survey Data Release 2 Galaxy Sample using artificial neural networks (ANNs). Different input patterns based on various parameters (e.g. magnitude, color index, flux information) are explored and their performances for redshift prediction are compared. For ANN technique, any parameter may be easily incorporated as input, but our results indicate that using dereddening magnitude produces photometric redshift accuracies often better than the Petrosian magnitude or model magnitude. Similarly, the model magnitude is also superior to Petrosian magnitude. In addition, ANNs also show better performance when the more effective parameters increase in the training set. Finally, the method is tested on a sample of 79, 346 galaxies from the SDSS DR2. When using 19 parameters based on the dereddening magnitude, the rms error in redshift estimation is sigma(z)=0.020184. The ANN is highly competitive tool when compared with traditional template-fitting methods where a large and representative training set is available.
Measurement of laser absorptivity for operating parameters characteristic of
Paris-Sud XI, Université de
Measurement of laser absorptivity for operating parameters characteristic of laser drilling regime Boulevard de l'Hôpital 75013 Paris France E-mail: matthieu.schneider@ensam.eu Abstract Laser drilling. Characteristic laser intensities in the range of 10 MW cm-2 are typically employed for drilling metallic targets
Dam-Breach Flood Wave Propagation Using Dimensionless Parameters
Ponce, V. Miguel
Dam-Breach Flood Wave Propagation Using Dimensionless Parameters Victor M. Ponce, M.ASCE1 ; Ahmad to study the sensitivity of dam-breach flood waves to breach-outflow hydrograph volume, peak discharge the channel. A dam-breach Froude number is defined to enable analysis through a wide range of site and flow
Reliable Computation of Binary Parameters in Activity Coefficient Models
Stadtherr, Mark A.
phase equilibria. The technique is demonstrated with examples using the NRTL and electrolyte-NRTL (eNRTL) models. In two of the NRTL examples, results are found that contradict previous work. In the eNRTL time that a method for parameter estimation in the eNRTL model from binary LLE data (mutual solubility
Using Circular Programs to Deforest in Accumulating Parameters
Eckmiller, Rolf
Using Circular Programs to Deforest in Accumulating Parameters Janis Voigtl Ë? ander # Department classical deforestation techniques fail. In order to avoid multiple traversals of the input data structure, deforestation, intermediate data structures, lazy composition, lazy evaluÂ ation, multiple traversals, program
Automatic selection of tuning parameters in wind power prediction
Automatic selection of tuning parameters in wind power prediction Lasse Engbo Christiansen (lec Report number: IMM-Technical Report-2007-12 Project title: Intelligent wind power prediction systems PSO The wind power forecasting system developed at DTU - the Wind Power Prediction Tool (WPPT) - predicts
Conic approach to quantum graph parameters using linear ...
2015-04-07T23:59:59.000Z
system (1.1) is feasible defines the quantum parameter ?q(G). .... quantum stability numbers and in Section 4.2 for the quantum chromatic numbers. ..... 4 but not a power of 2, then ?q(?n)?q(?n) < |V (?n)| and the exact same reasoning implies ...
A Novel Preamble Design for OFDM Transmission Parameter Signalling
Chen, Sheng
- input single-output (SISO) and multiple-input single-output (MISO) transmission modes are supported. Quick and reliable detection of the transmission parameters is critical for the receiver to perform), including the FFT size and SISO/MISO mode [5]. In the time domain, a novel cyclic extension structure
ANISOTROPY OF SOURCE PARAMETERS FROM INDUCED MICROSEISMICITY Peter Starzec1
1 ANISOTROPY OF SOURCE PARAMETERS FROM INDUCED MICROSEISMICITY Peter Starzec1 , Michael Fehler2 distributions of shear displacement at the source of microearthquakes induced by hydraulic fracturing were the reservoir that are far from injection wells. Background The Hot Dry Rock Geothermal Energy (HDR) concept
automated parameter optimization: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
automated parameter optimization First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Sequential Model-Based...
Optimization of Structural Dynamic Behaviour Based on Effective Modal Parameters
Paris-Sud XI, UniversitÃ© de
Optimization of Structural Dynamic Behaviour Based on Effective Modal Parameters S. Besset, L. J Optimization of complex structures often leads to high calculation costs. In- deed, the structure has to be frequently reanalysed in order to update the opti- mization criteriums. We propose an optimization method
Synchronous Machine Parameter Estimation Using Orthogonal Series Expansion
, such as analysis of linear time invariant and time varying systems, model reduction; optimal control and system an alternative to estimate armature circuit parameters of large utility generators using real time operating data and currents measurements) and/or synthetic input-output data. This allows writing a set of linear algebraic
Importance and sensitivity of parameters affecting the Zion Seismic Risk
George, L.L.; O'Connell, W.J.
1985-06-01T23:59:59.000Z
This report presents the results of a study on the importance and sensitivity of structures, systems, equipment, components and design parameters used in the Zion Seismic Risk Calculations. This study is part of the Seismic Safety Margins Research Program (SSMRP) supported by the NRC Office of Nuclear Regulatory Research. The objective of this study is to provide the NRC with results on the importance and sensitivity of parameters used to evaluate seismic risk. These results can assist the NRC in making decisions dealing with the allocation of research resources on seismic issues. This study uses marginal analysis in addition to importance and sensitivity analysis to identify subject areas (input parameter areas) for improvements that reduce risk, estimate how much the improvement dfforts reduce risk, and rank the subject areas for improvements. Importance analysis identifies the systems, components, and parameters that are important to risk. Sensitivity analysis estimates the change in risk per unit improvement. Marginal analysis indicates the reduction in risk or uncertainty for improvement effort made in each subject area. The results described in this study were generated using the SEISIM (Systematic Evaluation of Important Safety Improvement Measures) and CHAIN computer codes. Part 1 of the SEISIM computer code generated the failure probabilities and risk values. Part 2 of SEISIM, along with the CHAIN computer code, generated the importance and sensitivity measures.
Grid-based exploration of cosmological parameter space with Snake
Mikkelsen, K; Eriksen, H K
2012-01-01T23:59:59.000Z
We present a fully parallelized grid-based parameter estimation algorithm for investigating multidimensional likelihoods called Snake, and apply it to cosmological parameter estimation. The basic idea is to map out the likelihood grid-cell by grid-cell according to decreasing likelihood, and stop when a certain threshold has been reached. This approach improves vastly on the "curse of dimensionality" problem plaguing standard grid-based parameter estimation simply by disregarding grid-cells with negligible likelihood. The main advantages of this method compared to standard Metropolis-Hastings MCMC methods include 1) trivial extraction of arbitrary conditional distributions; 2) direct access to Bayesian evidences; 3) better sampling of the tails of the distribution; and 4) nearly perfect parallelization scaling. The main disadvantage is, as in the case of brute-force grid-based evaluation, a dependency on the number of parameters, N_par. One of the main goals of the present paper is to determine how large N_pa...
Design of Optimal Experiments for Parameter Estimation of Microalgae
Paris-Sud XI, Université de
. INTRODUCTION Microalgae have received a specific attention in the frame- work of renewable energy generationDesign of Optimal Experiments for Parameter Estimation of Microalgae Growth Models Rafael Mu microalgal production towards a profitable process of renewable energy generation. To render models
Error Control Based Model Reduction for Parameter Optimization of Elliptic
of technical devices that rely on multiscale processes, such as fuel cells or batteries. As the solutionError Control Based Model Reduction for Parameter Optimization of Elliptic Homogenization Problems optimization of elliptic multiscale problems with macroscopic optimization functionals and microscopic material
Measurement of Dynamic Parameters of Automotive Exhaust Mohan D. Rao
Rao, Mohan
1 01NVC-121 Measurement of Dynamic Parameters of Automotive Exhaust Hangers Mohan D. Rao ME Copyright © 2001 Society of Automotive Engineers, Inc. ABSTRACT Different methodologies to test and analyze the dynamic stiffness (K) and damping (C) properties of several silicone and EPDM rubber automotive exhaust
ON THE RECOVERY OF TRANSPORT PARAMETERS IN GROUNDWATER MODELLING
Knowles, Ian W.
ON THE RECOVERY OF TRANSPORT PARAMETERS IN GROUNDWATER MODELLING IAN KNOWLES AND AIMIN YAN. Introduction Saturated flow and single phase solute transport in confined ground- water systems are modelled one has to resort to indirect, or inverse, techniques to populate the model. In a groundwater system
ON THE RECOVERY OF TRANSPORT PARAMETERS IN GROUNDWATER MODELLING
Knowles, Ian W.
ON THE RECOVERY OF TRANSPORT PARAMETERS IN GROUNDWATER MODELLING IAN KNOWLES AND AIMIN YAN. Introduction Saturated flow and single phase solute transport in confined groundÂ water systems are modelled to resort to indirect, or inverse, techniques to populate the model. In a groundwater system one
Parameter estimation of permanent magnet stepper motors without mechanical sensors
Paris-Sud XI, UniversitÃ© de
.1016/j.conengprac.2014.01.015 #12;1. Introduction Permanent Magnet Stepper Motors (PMSM's) are widely used in indus- try for position control, especially in manufacturing applications. PMSM's are more-time adaptation, and fault detection. The estimation of PMSM parameters was studied in (Blauch et al., 1993), 2
Homogeneous spectroscopic parameters for bright planet host stars from the northern hemisphere
Sousa, S G; Mortier, A; Tsantaki, M; Adibekyan, V; Mena, E Delgado; Israelian, G; Rojas-Ayala, B; Neves, V
2015-01-01T23:59:59.000Z
Aims. In this work we derive new precise and homogeneous parameters for 37 stars with planets. For this purpose, we analyze high resolution spectra obtained by the NARVAL spectrograph for a sample composed of bright planet host stars in the northern hemisphere. The new parameters are included in the SWEET-Cat online catalogue. Methods. To ensure that the catalogue is homogeneous, we use our standard spectroscopic analysis procedure, ARES+MOOG, to derive effective temperatures, surface gravities, and metallicities. These spectroscopic stellar parameters are then used as input to compute the stellar mass and radius, which are fundamental for the derivation of the planetary mass and radius. Results. We show that the spectroscopic parameters, masses, and radii are generally in good agreement with the values available in online databases of exoplanets. There are some exceptions, especially for the evolved stars. These are analyzed in detail focusing on the effect of the stellar mass on the derived planetary mass. ...
Shifted one-parameter supersymmetric family of quartic asymmetric double-well potentials
H. C. Rosu; S. C. Mancas; P. Chen
2014-07-06T23:59:59.000Z
Extending our previous work (Rosu, Mancas, Chen, Ann.Phys. 343 (2014) 87-102), we define supersymmetric partner potentials through a particular Riccati solution of the form F(x)=(x-c)^2-1, where c is a real shift parameter, and work out the quartic double-well family of one-parameter isospectral potentials obtained by using the corresponding general Riccati solution. For these parametric double well potentials, we study how the localization properties of the two wells depend on the parameter of the potentials for various values of the shifting parameter. We also consider the supersymmetric parametric family of the first double-well potential in the Razavy chain of double well potentials corresponding to F(x)=(1/2)sinh 2x-2(1+sqrt 2)sinh 2x/[(1+sqrt 2) cosh 2x+1], both unshifted and shifted, to test and compare the localization properties
Prediction of interest rate using CKLS model with stochastic parameters
Ying, Khor Chia [Faculty of Computing and Informatics, Multimedia University, Jalan Multimedia, 63100 Cyberjaya, Selangor (Malaysia); Hin, Pooi Ah [Sunway University Business School, No. 5, Jalan Universiti, Bandar Sunway, 47500 Subang Jaya, Selangor (Malaysia)
2014-06-19T23:59:59.000Z
The Chan, Karolyi, Longstaff and Sanders (CKLS) model is a popular one-factor model for describing the spot interest rates. In this paper, the four parameters in the CKLS model are regarded as stochastic. The parameter vector ?{sup (j)} of four parameters at the (J+n)-th time point is estimated by the j-th window which is defined as the set consisting of the observed interest rates at the j?-th time point where j?j??j+n. To model the variation of ?{sup (j)}, we assume that ?{sup (j)} depends on ?{sup (j?m)}, ?{sup (j?m+1)},…, ?{sup (j?1)} and the interest rate r{sub j+n} at the (j+n)-th time point via a four-dimensional conditional distribution which is derived from a [4(m+1)+1]-dimensional power-normal distribution. Treating the (j+n)-th time point as the present time point, we find a prediction interval for the future value r{sub j+n+1} of the interest rate at the next time point when the value r{sub j+n} of the interest rate is given. From the above four-dimensional conditional distribution, we also find a prediction interval for the future interest rate r{sub j+n+d} at the next d-th (d?2) time point. The prediction intervals based on the CKLS model with stochastic parameters are found to have better ability of covering the observed future interest rates when compared with those based on the model with fixed parameters.
Environmental Transport Input Parameters for the Biosphere Model
M. Wasiolek
2004-09-10T23:59:59.000Z
This analysis report is one of the technical reports documenting the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the total system performance assessment for the license application (TSPA-LA) for the geologic repository at Yucca Mountain. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows relationships among the reports developed for biosphere modeling and biosphere abstraction products for the TSPA-LA, as identified in the ''Technical Work Plan for Biosphere Modeling and Expert Support'' (BSC 2004 [DIRS 169573]) (TWP). This figure provides an understanding of how this report contributes to biosphere modeling in support of the license application (LA). This report is one of the five reports that develop input parameter values for the biosphere model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the conceptual model and the mathematical model. The input parameter reports, shown to the right of the Biosphere Model Report in Figure 1-1, contain detailed description of the model input parameters. The output of this report is used as direct input in the ''Nominal Performance Biosphere Dose Conversion Factor Analysis'' and in the ''Disruptive Event Biosphere Dose Conversion Factor Analysis'' that calculate the values of biosphere dose conversion factors (BDCFs) for the groundwater and volcanic ash exposure scenarios, respectively. The purpose of this analysis was to develop biosphere model parameter values related to radionuclide transport and accumulation in the environment. These parameters support calculations of radionuclide concentrations in the environmental media (e.g., soil, crops, animal products, and air) resulting from a given radionuclide concentration at the source of contamination (i.e., either in groundwater or in volcanic ash). The analysis was performed in accordance with the TWP (BSC 2004 [DIRS 169573]).
FY2014 Parameters for Helions and Gold Ions in Booster, AGS, and RHIC
Gardner, C. J. [Brookhaven National Lab. (BNL), Upton, NY (United States). Collider-Accelerator Dept.
2014-08-15T23:59:59.000Z
The nominal parameters for helions (helion is the bound state of two protons and one neutron. It is the nucleus of a helium-3 atom.) and gold ions in Booster, AGS, and RHIC are given for the FY2014 running period. The parameters are found using various formulas to derive mass, helion anomalous g-factor, kinetic parameters, RF parameters, ring parameters etc..
Combined Estimation of Hydrogeologic Conceptual Model and Parameter Uncertainty
Meyer, Philip D.; Ye, Ming; Neuman, Shlomo P.; Cantrell, Kirk J.
2004-03-01T23:59:59.000Z
The objective of the research described in this report is the development and application of a methodology for comprehensively assessing the hydrogeologic uncertainties involved in dose assessment, including uncertainties associated with conceptual models, parameters, and scenarios. This report describes and applies a statistical method to quantitatively estimate the combined uncertainty in model predictions arising from conceptual model and parameter uncertainties. The method relies on model averaging to combine the predictions of a set of alternative models. Implementation is driven by the available data. When there is minimal site-specific data the method can be carried out with prior parameter estimates based on generic data and subjective prior model probabilities. For sites with observations of system behavior (and optionally data characterizing model parameters), the method uses model calibration to update the prior parameter estimates and model probabilities based on the correspondence between model predictions and site observations. The set of model alternatives can contain both simplified and complex models, with the requirement that all models be based on the same set of data. The method was applied to the geostatistical modeling of air permeability at a fractured rock site. Seven alternative variogram models of log air permeability were considered to represent data from single-hole pneumatic injection tests in six boreholes at the site. Unbiased maximum likelihood estimates of variogram and drift parameters were obtained for each model. Standard information criteria provided an ambiguous ranking of the models, which would not justify selecting one of them and discarding all others as is commonly done in practice. Instead, some of the models were eliminated based on their negligibly small updated probabilities and the rest were used to project the measured log permeabilities by kriging onto a rock volume containing the six boreholes. These four projections, and associated kriging variances, were averaged using the posterior model probabilities as weights. Finally, cross-validation was conducted by eliminating from consideration all data from one borehole at a time, repeating the above process, and comparing the predictive capability of the model-averaged result with that of each individual model. Using two quantitative measures of comparison, the model-averaged result was superior to any individual geostatistical model of log permeability considered.
Soil-related Input Parameters for the Biosphere Model
A. J. Smith
2003-07-02T23:59:59.000Z
This analysis is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the geologic repository at Yucca Mountain. The biosphere model is one of a series of process models supporting the Total System Performance Assessment (TSPA) for the Yucca Mountain repository. A graphical representation of the documentation hierarchy for the ERMYN biosphere model is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling, and the plan for development of the biosphere abstraction products for TSPA, as identified in the ''Technical Work Plan: for Biosphere Modeling and Expert Support'' (BSC 2003 [163602]). It should be noted that some documents identified in Figure 1-1 may be under development at the time this report is issued and therefore not available. This figure is included to provide an understanding of how this analysis report contributes to biosphere modeling in support of the license application, and is not intended to imply that access to the listed documents is required to understand the contents of this report. This report, ''Soil Related Input Parameters for the Biosphere Model'', is one of the five analysis reports that develop input parameters for use in the ERMYN model. This report is the source documentation for the six biosphere parameters identified in Table 1-1. ''The Biosphere Model Report'' (BSC 2003 [160699]) describes in detail the conceptual model as well as the mathematical model and its input parameters. The purpose of this analysis was to develop the biosphere model parameters needed to evaluate doses from pathways associated with the accumulation and depletion of radionuclides in the soil. These parameters support the calculation of radionuclide concentrations in soil from on-going irrigation and ash deposition and, as a direct consequence, radionuclide concentration in resuspended particulate matter in the atmosphere. The analysis was performed in accordance with the technical work plan for the biosphere modeling and expert support (TWP) (BSC 2003 [163602]). This analysis revises the previous one titled ''Evaluate Soil/Radionuclide Removal by Erosion and Leaching'' (CRWMS M&O 2001 [152517]). In REV 00 of this report, the data generated were fixed (i.e., taking no account of uncertainty and variability) values. This revision incorporates uncertainty and variability into the values for the bulk density, elemental partition coefficients, average annual loss of soil from erosion, resuspension enhancement factor, and field capacity water content.
Hou, Zhangshuan; Huang, Maoyi; Leung, Lai-Yung R.; Lin, Guang; Ricciuto, Daniel M.
2012-08-10T23:59:59.000Z
Uncertainties in hydrologic parameters could have significant impacts on the simulated water and energy fluxes and land surface states, which will in turn affect atmospheric processes and the carbon cycle. Quantifying such uncertainties is an important step toward better understanding and quantification of uncertainty of integrated earth system models. In this paper, we introduce an uncertainty quantification (UQ) framework to analyze sensitivity of simulated surface fluxes to selected hydrologic parameters in the Community Land Model (CLM4) through forward modeling. Thirteen flux tower footprints spanning a wide range of climate and site conditions were selected to perform sensitivity analyses by perturbing the parameters identified. In the UQ framework, prior information about the parameters was used to quantify the input uncertainty using the Minimum-Relative-Entropy approach. The quasi-Monte Carlo approach was applied to generate samples of parameters on the basis of the prior pdfs. Simulations corresponding to sampled parameter sets were used to generate response curves and response surfaces and statistical tests were used to rank the significance of the parameters for output responses including latent (LH) and sensible heat (SH) fluxes. Overall, the CLM4 simulated LH and SH show the largest sensitivity to subsurface runoff generation parameters. However, study sites with deep root vegetation are also affected by surface runoff parameters, while sites with shallow root zones are also sensitive to the vadose zone soil water parameters. Generally, sites with finer soil texture and shallower rooting systems tend to have larger sensitivity of outputs to the parameters. Our results suggest the necessity of and possible ways for parameter inversion/calibration using available measurements of latent/sensible heat fluxes to obtain the optimal parameter set for CLM4. This study also provided guidance on reduction of parameter set dimensionality and parameter calibration framework design for CLM4 and other land surface models under different hydrologic and climatic regimes.
Are the small neutrino oscillation parameters all related?
Pramanick, Soumita
2014-01-01T23:59:59.000Z
Neutrino oscillations reveal several small parameters, namely, \\theta_{13}, the solar mass splitting vis-a-vis the atmospheric one, and the deviation of \\theta_{23} from maximal mixing. Can these small quantities all be traced to a single source and, if so, how could that be tested? Here a see-saw model for neutrino masses is presented wherein a dominant term generates the atmospheric mass splitting with maximal mixing in this sector, keeping \\theta_{13} = 0 and zero solar splitting. A Type-I see-saw perturbative contribution results in non-zero values of \\theta_{13}, \\Delta m^2_{solar}, \\theta_{12}, as well as allows \\theta_{23} to deviate from \\pi/4 in consistency with the data while interrelating them all. CP-violation is a natural consequence and is large for inverted mass ordering. The model will be tested as precision on the neutrino parameters is sharpened.
Frequency tracking and parameter estimation for robust quantum state estimation
Ralph, Jason F. [Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool L69 3GJ (United Kingdom); Jacobs, Kurt [Department of Physics, University of Massachusetts at Boston, 100 Morrissey Blvd, Boston, Massachusetts 02125 (United States); Hill, Charles D. [Centre for Quantum Computation and Communication Technology, School of Physics, University of Melbourne, Victoria 3010 (Australia)
2011-11-15T23:59:59.000Z
In this paper we consider the problem of tracking the state of a quantum system via a continuous weak measurement. If the system Hamiltonian is known precisely, this merely requires integrating the appropriate stochastic master equation. However, even a small error in the assumed Hamiltonian can render this approach useless. The natural answer to this problem is to include the parameters of the Hamiltonian as part of the estimation problem, and the full Bayesian solution to this task provides a state estimate that is robust against uncertainties. However, this approach requires considerable computational overhead. Here we consider a single qubit in which the Hamiltonian contains a single unknown parameter. We show that classical frequency estimation techniques greatly reduce the computational overhead associated with Bayesian estimation and provide accurate estimates for the qubit frequency.
On Investigating EMD Parameters to Search for Gravitational Waves
Hirotaka Takahashi; Ken-ichi Oohara; Masato Kaneyama; Yuta Hiranuma; Jordan B Camp
2013-06-23T23:59:59.000Z
The Hilbert-Huang transform (HHT) is a novel, adaptive approach to time series analysis. It does not impose a basis set on the data or otherwise make assumptions about the data form, and so the time--frequency decomposition is not limited by spreading due to uncertainty. Because of the high resolution of the time--frequency, we investigate the possibility of the application of the HHT to the search for gravitational waves. It is necessary to determine some parameters in the empirical mode decomposition (EMD), which is a component of the HHT, and in this paper we propose and demonstrate a method to determine the optimal values of the parameters to use in the search for gravitational waves.
Dependence of plasma characteristics on dc magnetron sputter parameters
Wu, S.Z. [Recording Media Operation, Seagate Technology, 47010 Kato Road, Fremont, California 94538 (United States)
2005-10-15T23:59:59.000Z
Plasma discharge characteristics of a dc magnetron system were measured by a single Langmuir probe at the center axis of the dual-side process chamber. Plasma potential, floating potential, electron and ion densities, and electron temperature were extracted with varying dc power and gas pressure during sputter deposition of a metal target; strong correlations were shown between these plasma parameters and the sputter parameters. The electron density was controlled mostly by secondary electron generation in constant power mode, while plasma potential reflects the confinement space variation due to change of discharge voltage. When discharge pressure was varied, plasma density increases with the increased amount of free stock molecules, while electron temperature inversely decreased, due to energy-loss collision events. In low-pressure discharges, the electron energy distribution function measurements show more distinctive bi-Maxwellian distribution, with the fast electron temperature gradually decreases with increased gas pressure.
An analysis of parameters affecting slapdown of transportation packages
Bergmann, V.L.; Ammerman, D.J.
1991-01-01T23:59:59.000Z
Several parameters affecting the accelerations experienced by packages for the transport of nuclear material during eccentric impact are evaluated. Eccentric impact on one end of a cask causes rotation leading to secondary impact, referred to as slapdown, at the other end. In a slapdown event, the rotational acceleration during the primary impact can cause accelerations at the nose and tail which are greater than those during a side-on impact. Slapdown can also cause acceleration at the tail during the secondary impact to be more severe than at the nose during primary impact. Both of these effects are investigated for two casks geometries. Other parameters evaluated are the characteristics of impact limiters and friction between the impact limiter the impacted surface. Results were obtained using SLAPDOWN, a code which models the impact response of deformable bodies. 2 refs., 11 figs.
On-fiber plasmonic interferometer for multi-parameter sensing
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Zhang, Zhijian; Chen, Yongyao; Liu, Haijun; Bae, Hyungdae; Olson, Douglas A.; Gupta, Ashwani K.; Yu, Miao
2015-01-01T23:59:59.000Z
We demonstrate a novel miniature multi-parameter sensing device based on a plasmonic interferometer fabricated on a fiber facet in the optical communication wavelength range. This device enables the coupling between surface plasmon resonance and plasmonic interference in the structure, which are the two essential mechanisms for multi-parameter sensing. We experimentally show that these two mechanisms have distinctive responses to temperature and refractive index, rendering the device the capability of simultaneous temperature and refractive index measurement on an ultra-miniature form factor. A high refractive index sensitivity of 220 nm per refractive index unit (RIU) and a high temperature sensitivity of –60more »pm/ °C is achieved with our device.« less
DIRECTIONAL DEPENDENCE OF {Lambda}CDM COSMOLOGICAL PARAMETERS
Axelsson, M.; Fantaye, Y.; Hansen, F. K.; Eriksen, H. K. [Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, N-0315 Oslo (Norway); Banday, A. J. [Universite de Toulouse, UPS-OMP, IRAP, Toulouse (France); Gorski, K. M., E-mail: magnus.axelsson@astro.uio.no, E-mail: y.t.fantaye@astro.uio.no [Jet Propulsion Laboratory, M/S 169/327, 4800 Oak Grove Drive, Pasadena, CA 91109 (United States)
2013-08-10T23:59:59.000Z
We study hemispherical power asymmetry in the Wilkinson Microwave Anisotropy Probe 9 yr data. We analyze the combined V- and W-band sky maps, after application of the KQ85 mask, and find that the asymmetry is statistically significant at the 3.4{sigma} confidence level for l = 2-600, where the data are signal-dominated, with a preferred asymmetry direction (l, b) = (227, -27). Individual asymmetry axes estimated from six independent multipole ranges are all consistent with this direction. Subsequently, we estimate cosmological parameters on different parts of the sky and show that the parameters A{sub s} , n{sub s} , and {Omega}{sub b} are the most sensitive to this power asymmetry. In particular, for the two opposite hemispheres aligned with the preferred asymmetry axis, we find n{sub s} = 0.959 {+-} 0.022 and n{sub s} = 0.989 {+-} 0.024, respectively.
Study of some parameters interstellar transport using of magnetic umbrella
Martin ?ermák
2013-04-30T23:59:59.000Z
Interstellar transport is an object of interest in many sci-fi stories. In history a lot of sci-fi predictions have turned into reality, such as communications satellites, deep-sea submarines and journies to the moon. In this work we study some physical parameters of a space ship which uses a magnetic umbrella. Our spaceship generates a magnetic field in its neighborhood and captures charged protons into a magnetic trap. These particles are taken into a fusion reactor. The obtained energy and waste in form of helium are used as a fuel in an ion engine. With the help of elementary physics we can work out the basic physical parameters of the ship, e.g. maximal velocity, acceleration of the ship or acceleration time period.
Peak thrust operation of linear induction machines from parameter identification
Zhang, Z.; Eastham, T.R.; Dawson, G.E. [Queen`s Univ., Kingston, Ontario (Canada). Dept. of Electrical and Computer Engineering
1995-12-31T23:59:59.000Z
Various control strategies are being used to achieve high performance operation of linear drives. To maintain minimum volume and weight of the power supply unit on board the transportation vehicle, peak thrust per unit current operation is a desirable objective. True peak thrust per unit current through slip control is difficult to achieve because the parameters of linear induction machines vary during normal operation. This paper first develops a peak thrust per unit current control law based on the per-phase equivalent circuit for linear induction machines. The algorithm for identification of the variable parameters in induction machines is then presented. Application to an operational linear induction machine (LIM) demonstrates the utility of this algorithm. The control strategy is then simulated, based on an operational transit LIM, to show the capability of achieving true peak thrust operation for linear induction machines.
Structural parameters of nearby emission-line galaxies
Miguel Sanchez-Portal; Angeles I Diaz; Elena Terlevich; Roberto Terlevich
2004-03-17T23:59:59.000Z
We present the results of an investigation on the main structural properties derived from VRI and Halpha surface photometry of galaxies hosting nuclear emission-line regions (including Seyfert 1, Seyfert 2, LINER and starburst galaxies) as compared with normal galaxies. Our original sample comprises 22 active galaxies, 4 starbursts and 1 normal galaxy and has been extended with several samples obtained from the literature. Bulge and disc parameters, along with B/D relation, have been derived applying an iterative procedure. The resulting parameters have been combined with additional data in order to reach a statistically significant sample. We find some differences in the bulge distribution across the different nuclear types that could imply familes of bulges with different physical properties. Bulge and disc characteristic colours have been defined and derived for our sample and compared with a control sample of early type objects. The results suggest that bulge and disc stellar populations are comparable in normal and active galaxies.
Quantum holonomic phases of higher-dimensional parameter spaces
J. Loredo; M. A. Broome; D. H. Smith; A. G. White
2013-06-14T23:59:59.000Z
A key challenge in quantum computing is avoiding decoherence, so that the fragile quantum properties of a system are not lost to the surrounding environment. Holonomic phases, i.e. geometric and topological, can play an important role in bypassing decoherence. They provide a platform for fault-tolerant universal quantum computing based entirely on geometric phase transformations, called holonomic quantum computation. Current candidates for this approach rely on the robustness of well known geometric phases in the Poincar\\'e sphere parameter space. Here we expand upon this work by experimentally demonstrating holonomic phases in a six-dimensional parameter space of a two-qubit photonic system. We find that as the entanglement between qubits increases, the resulting holonomic phase becomes less affected by changes in the state evolution. At the point of maximal entanglement the holonomic phase becomes topological and most resilient to evolution changes. Our results motivate the pursuit of holonomic quantum computation enhanced by robust topological phases.
Bounds on Quantum Multiple-Parameter Estimation with Gaussian State
Yang Gao; Hwang Lee
2014-07-28T23:59:59.000Z
We investigate the quantum Cramer-Rao bounds on the joint multiple-parameter estimation with the Gaussian state as a probe. We derive the explicit right logarithmic derivative and symmetric logarithmic derivative operators in such a situation. We compute the corresponding quantum Fisher information matrices, and find that they can be fully expressed in terms of the mean displacement and covariance matrix of the Gaussian state. Finally, we give some examples to show the utility of our analytical results.
A statistical study of bright spot reflection parameters
Godwin, David Lee
1981-01-01T23:59:59.000Z
cal Study of Bright Spot Reflection Parameters. (December 1981) David Lee Godwin, B. S. , Pepperdine University Chairman of Adv1sory Committee: Dr. T. W. Spencer A data set consisting of two seismic lines served as the basis of study... obtained from each of the seismic lines were compared to deter- mine if the presence of commercial quantities of gas could be identified. The measurement process revealed that the interval travel time measurements between the marker horizons...
RUMEN DIGESTION PARAMETERS IN LAMBS FED WITH PELLETED DIET
Paris-Sud XI, UniversitÃ© de
RUMEN DIGESTION PARAMETERS IN LAMBS FED WITH PELLETED DIET A. PETKOV E.I. ENEV Department of animal with pelleted feed containing 25 % alfalfa meal, 35 % maize, 9.9 % barley, 7.2 % wheat, 21.5 % sunflower oil ration was 0.200 kg pelleted feed and at the age of 4 months, 0.400 kg. The pelleted feed was given twice
Parameter Optimization for Laser Polishing of Niobium for SRF Applications
Zhao, Liang [Thomas Jefferson National Accelerator Facility, Newport News, VA (United States) and William and Mary College, Williamsburg, VA (United States); Klopf, John Michael [Thomas Jefferson National Accelerator Facility, Newport News, VA (United States); Reece, Charles E. [Thomas Jefferson National Accelerator Facility, Newport News, VA (United States); Kelley, Michael J. [Thomas Jefferson National Accelerator Facility, Newport News, VA (United States) and William and Mary College, Williamsburg, VA (United States)
2013-06-01T23:59:59.000Z
Surface smoothness is critical to the performance of SRF cavities. As laser technology has been widely applied to metal machining and surface treatment, we are encouraged to use it on niobium as an alternative to the traditional wet polishing process where aggressive chemicals are involved. In this study, we describe progress toward smoothing by optimizing laser parameters on BCP treated niobium surfaces. Results shows that microsmoothing of the surface without ablation is achievable.
Perturbed Power-law parameters from WMAP7
Minu Joy; Tarun Souradeep
2010-11-19T23:59:59.000Z
We present a perturbative approach for studying inflation models with soft departures from scale free spectra of the power law model. In the perturbed power law (PPL) approach one obtains at the leading order both the scalar and tensor power spectra with the running of their spectral indices, in contrast to the widely used slow roll expansion. The PPL spectrum is confronted data and we show that the PPL parameters are well estimated from WMAP-7 data.
Perturbed Power-law parameters from WMAP7
Joy, Minu
2010-01-01T23:59:59.000Z
We present a perturbative approach for studying inflation models with soft departures from scale free spectra of the power law model. In the perturbed power law (PPL) approach one obtains at the leading order both the scalar and tensor power spectra with the running of their spectral indices, in contrast to the widely used slow roll expansion. The PPL spectrum is confronted data and we show that the PPL parameters are well estimated from WMAP-7 data.
Ion implanted step recovery diodes - influence of material parameter variations
Mosman, Thomas Michael
1974-01-01T23:59:59.000Z
on the successful application of ion implantation in the fabrication of an improved step recovery diode (SRD). At the same time a comprehensive account of the actual device processing will bring to light the problems and difficulties that are ordinarily...ION IMPLANTED STEP RECOVERY DIODES ? INFLUENCE OF MATERIAL PARAMETER VARIATIONS A Thesis by THOMAS MICHAEL MOSMAN Submitted to the Craduate College of Texas ARM University in partial fulfillment of the requirement for the degree of MASTER...
Local Gersten's conjecture for regular system of parameters Satoshi Mochizuki
) and whose projective dimension is less than p by MI A(p). If ht I = p, we write WtI A := MI A. Gersten). The inclusion functor WtI A Mp-1 A in- duces zero maps Kn(WtI A) Kn(Mp-1 A ) for any non-negative integer n system of parameter f1, . . . , fp, then the canonical inclusion functor WtI A MJ A(p) induces the zero
Huang, Maoyi; Hou, Zhangshuan; Leung, Lai-Yung R.; Ke, Yinghai; Liu, Ying; Fang, Zhufeng; Sun, Yu
2013-12-01T23:59:59.000Z
With the emergence of earth system models as important tools for understanding and predicting climate change and implications to mitigation and adaptation, it has become increasingly important to assess the fidelity of the land component within earth system models to capture realistic hydrological processes and their response to the changing climate and quantify the associated uncertainties. This study investigates the sensitivity of runoff simulations to major hydrologic parameters in version 4 of the Community Land Model (CLM4) by integrating CLM4 with a stochastic exploratory sensitivity analysis framework at 20 selected watersheds from the Model Parameter Estimation Experiment (MOPEX) spanning a wide range of climate and site conditions. We found that for runoff simulations, the most significant parameters are those related to the subsurface runoff parameterizations. Soil texture related parameters and surface runoff parameters are of secondary significance. Moreover, climate and soil conditions play important roles in the parameter sensitivity. In general, site conditions within water-limited hydrologic regimes and with finer soil texture result in stronger sensitivity of output variables, such as runoff and its surface and subsurface components, to the input parameters in CLM4. This study demonstrated the feasibility of parameter inversion for CLM4 using streamflow observations to improve runoff simulations. By ranking the significance of the input parameters, we showed that the parameter set dimensionality could be reduced for CLM4 parameter calibration under different hydrologic and climatic regimes so that the inverse problem is less ill posed.
Zitrin, Adi [Cahill Center for Astronomy and Astrophysics, California Institute of Technology, MS 249-17, Pasadena, CA 91125 (United States); Redlich, Matthias [Universität Heidelberg, Zentrum für Astronomie, Institut für Theoretische Astrophysik, Philosophenweg 12, D-69120 Heidelberg (Germany); Broadhurst, Tom, E-mail: adizitrin@gmail.com [Department of Theoretical Physics, University of Basque Country UPV/EHU, Bilbao (Spain)
2014-07-01T23:59:59.000Z
We discuss how Type Ia supernovae (SNe) strongly magnified by foreground galaxy clusters should be self-consistently treated when used in samples fitted for the cosmological parameters. While the cluster lens magnification of a SN can be well constrained from sets of multiple images of various background galaxies with measured redshifts, its value is typically dependent on the fiducial set of cosmological parameters used to construct the mass model. In such cases, one should not naively demagnify the observed SN luminosity by the model magnification into the expected Hubble diagram, which would create a bias, but instead take into account the cosmological parameters a priori chosen to construct the mass model. We quantify the effect and find that a systematic error of typically a few percent, up to a few dozen percent per magnified SN may be propagated onto a cosmological parameter fit unless the cosmology assumed for the mass model is taken into account (the bias can be even larger if the SN is lying very near the critical curves). We also simulate how such a bias propagates onto the cosmological parameter fit using the Union2.1 sample supplemented with strongly magnified SNe. The resulting bias on the deduced cosmological parameters is generally at the few percent level, if only few biased SNe are included, and increases with the number of lensed SNe and their redshift. Samples containing magnified Type Ia SNe, e.g., from ongoing cluster surveys, should readily account for this possible bias.
Fractal initial conditions and natural parameter values in hybrid inflation
Sebastien Clesse; Christophe Ringeval; Jonathan Rocher
2009-12-22T23:59:59.000Z
We show that the initial field values required to produce inflation in the two fields original hybrid model, and its supergravity F-term extension, do not suffer from any fine-tuning problem, even when the fields are restricted to be sub-planckian and for almost all potential parameter values. This is due to the existence of an initial slow-roll violating evolution which has been overlooked so far. Due to the attractor nature of the inflationary valley, these trajectories end up producing enough accelerated expansion of the universe. By numerically solving the full non-linear dynamics, we show that the set of such successful initial field values is connected, of dimension two and possesses a fractal boundary of infinite length exploring the whole field space. We then perform a Monte-Carlo-Markov-Chain analysis of the whole parameter space consisting of the initial field values, field velocities and potential parameters. We give the marginalised posterior probability distributions for each of these quantities such that the universe inflates long enough to solve the usual cosmological problems. Inflation in the original hybrid model and its supergravity version appears to be generic and more probable by starting outside of the inflationary valley. Finally, the implication of our findings in the context of the eternal inflationary scenario are discussed.
Stop on Top: SUSY Parameter Regions, Fine-Tuning Constraints
Durmus Ali Demir; Cem Salih Un
2014-11-18T23:59:59.000Z
We analyze minimal supersymmetric models in order to determine in what parameter regions with what amount of fine-tuning they are capable of accomodating the LHC-allowed top-stop degeneracy window. The stops must be light enough to enable Higgs naturalness yet heavy enough to induce a 125 GeV Higgs boson mass. These two constraints imply a large mass splitting. By an elaborate scan of the parameter space, we show that stop-on-top scenario requires at least Delta_CMSSM ~ O(10^4) fine-tuning in the CMSSM. By relaxing the CMSSM parameter space with nonuniversal Higgs masses, we find that Delta_NUHM1 ~ O(10^4). The CMSSM with gravitino LSP works slightly better than the NUHM1 model. Compared to all these, the CMSSM with mu<0 and nonuniversal gauginos yield a much smaller fine-tuning Delta_{mu,g} ~ O(100). Our results show that gaugino sector can pave the road towards a more natural stop-on-top scenario.
Dirac fields, torsion and Barbero-Immirzi parameter in cosmology
Berredo-Peixoto, G. de; Shapiro, I.L.; Souza, C.A. de [Departamento de Física, ICE, Universidade Federal de Juiz de Fora, Campus Universitário, Juiz de Fora, 36036-330, Minas Gerais (Brazil); Freidel, L., E-mail: guilherme@fisica.ufjf.br, E-mail: lfreidel@perimeterinstitute.ca, E-mail: shapiro@fisica.ufjf.br, E-mail: abrahaocleber@gmail.com [Perimeter Institute for Theoretical Physics, 31 Caroline St. N, N2L 2Y5, Waterloo ON (Canada)
2012-06-01T23:59:59.000Z
We consider cosmological solution for Einstein gravity with massive fermions with a four-fermion coupling, which emerges from the Holst action and is related to the Barbero-Immirzi (BI) parameter. This gravitational action is an important object of investigation in a non-perturbative formalism of quantum gravity. We study the equation of motion for the Dirac field within the standard Friedman-Robertson-Walker (FRW) metric. Finally, we show the theory with BI parameter and minimally coupling Dirac field, in the zero mass limit, is equivalent to an additional term which looks like a perfect fluid with the equation of state p = w?, with w = 1 which is independent of the BI parameter. The existence of mass imposes a variable w, which creates either an inflationary phase with w = ?1, or assumes an ultra hard equation of states w = 1 for very early universe. Both phases relax to a pressure less fluid w = 0 for late universe (corresponding to the limit m ? ?)
Effect of noncircularity of experimental beam on CMB parameter estimation
Das, Santanu; Paulson, Sonu Tabitha
2015-01-01T23:59:59.000Z
Measurement of Cosmic Microwave Background (CMB) anisotropies has been playing a lead role in precision cosmology by providing some of the tightest constrains on cosmological models and parameters. However, precision can only be meaningful when all major systematic effects are taken into account. Non-circular beams in CMB experiments can cause large systematic deviation in the angular power spectrum, not only by modifying the measurement at a given multipole, but also introducing coupling between different multipoles through a deterministic bias matrix. Here we add a mechanism for emulating the effect of a full bias matrix to the Planck likelihood code through the parameter estimation code SCoPE. We show that if the angular power spectrum was measured with a non-circular beam, the assumption of circular Gaussian beam or considering only the diagonal part of the bias matrix can lead to huge error in parameter estimation. We demonstrate that, at least for elliptical Gaussian beams, use of scalar beam window fun...
C -parameter distribution at N 3 LL ' including power corrections
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Hoang, André H.; Kolodrubetz, Daniel W.; Mateu, Vicent; Stewart, Iain W.
2015-05-01T23:59:59.000Z
We compute the e?e? C-parameter distribution using the soft-collinear effective theory with a resummation to next-to-next-to-next-to-leading-log prime accuracy of the most singular partonic terms. This includes the known fixed-order QCD results up to O(?3s), a numerical determination of the two-loop nonlogarithmic term of the soft function, and all logarithmic terms in the jet and soft functions up to three loops. Our result holds for C in the peak, tail, and far tail regions. Additionally, we treat hadronization effects using a field theoretic nonperturbative soft function, with moments ?n. To eliminate an O(?QCD) renormalon ambiguity in the soft function, we switch from the MS¯ to a short distance “Rgap” scheme to define the leading power correction parameter ?1. We show how to simultaneously account for running effects in ?1 due to renormalon subtractions and hadron-mass effects, enabling power correction universality between C-parameter and thrust to be tested in our setup. We discuss in detail the impact of resummation and renormalon subtractions on the convergence. In the relevant fit region for ?s(mZ) and ?1, the perturbative uncertainty in our cross section is ? 2.5% at Q=mZ.
HF beam parameters in ELF/VLF wave generation via modulated heating of the ionosphere
Program (HAARP) facility near Gakona, AK, we investigate the effect of HF frequency and beam size-ionosphere waveguide generally decreases with increasing HF frequency between 2.759.50 MHz. HAARP is also capable is then applied to also predict the effect of HF beam parameters on magnetospheric injection with HAARP. Citation
Determination of Sequence-Specific Intrinsic Size Parameters from Cross Sections for 162 Tripeptides
Clemmer, David E.
Determination of Sequence-Specific Intrinsic Size Parameters from Cross Sections for 162 spectrometry techniques have been used to measure cross sections for 162 tripeptide sequences (27 different sets of six sequence isomers). The isomers have the general forms ABC, ACB, BAC, BCA, CAB, and CBA
Geoelectrical Measurement of Multi-Scale Mass Transfer Parameters
Day-Lewis, Frederick David [U.S. Geological Survey; Singha, Kamini [Colorado School of Mines; Johnson, Timothy C. [Pacific Northwest National Laboratory; Haggerty, Roy [Oregon State; Binley, Andrew [Lancaster University; Lane, John W. [US Geological Survey
2014-11-25T23:59:59.000Z
Mass transfer affects contaminant transport and is thought to control the efficiency of aquifer remediation at a number of sites within the Department of Energy (DOE) complex. An improved understanding of mass transfer is critical to meeting the enormous scientific and engineering challenges currently facing DOE. Informed design of site remedies and long-term stewardship of radionuclide-contaminated sites will require new cost-effective laboratory and field techniques to measure the parameters controlling mass transfer spatially and across a range of scales. In this project, we sought to capitalize on the geophysical signatures of mass transfer. Previous numerical modeling and pilot-scale field experiments suggested that mass transfer produces a geoelectrical signature—a hysteretic relation between sampled (mobile-domain) fluid conductivity and bulk (mobile + immobile) conductivity—over a range of scales relevant to aquifer remediation. In this work, we investigated the geoelectrical signature of mass transfer during tracer transport in a series of controlled experiments to determine the operation of controlling parameters, and also investigated the use of complex-resistivity (CR) as a means of quantifying mass transfer parameters in situ without tracer experiments. In an add-on component to our grant, we additionally considered nuclear magnetic resonance (NMR) to help parse mobile from immobile porosities. Including the NMR component, our revised study objectives were to: 1. Develop and demonstrate geophysical approaches to measure mass-transfer parameters spatially and over a range of scales, including the combination of electrical resistivity monitoring, tracer tests, complex resistivity, nuclear magnetic resonance, and materials characterization; and 2. Provide mass-transfer estimates for improved understanding of contaminant fate and transport at DOE sites, such as uranium transport at the Hanford 300 Area. To achieve our objectives, we implemented a 3-part research plan involving (1) development of computer codes and techniques to estimate mass-transfer parameters from time-lapse electrical data; (2) bench-scale experiments on synthetic materials and materials from cores from the Hanford 300 Area; and (3) field demonstration experiments at the DOE’s Hanford 300 Area. In a synergistic add-on to our workplan, we analyzed data from field experiments performed at the DOE Naturita Site under a separate DOE SBR grant, on which PI Day-Lewis served as co-PI. Techniques developed for application to Hanford datasets also were applied to data from Naturita.
Hafnium Resonance Parameter Analysis Using Neutron Capture and Transmission Experiments
Trbovich, M J; Barry, D P; Slovacek, R E; Danon, Y; Block, R C; Francis, N C; Lubert, M; Burke, J A; Drindak, N J; Lienweber, G; Ballad, R
2007-02-06T23:59:59.000Z
The focus of this work is to determine the resonance parameters for stable hafnium isotopes in the 0.005 - 200 eV region, with special emphasis on the overlapping {sup 176}Hf and {sup 178}Hf resonances near 8 eV. Accurate hafnium cross sections and resonance parameters are needed in order to quantify the effects of hafnium found in zirconium, a metal commonly used in reactors. The accuracy of the cross sections and the corresponding resonance parameters used in current nuclear analysis tools are rapidly becoming the limiting factor in reducing the overall uncertainty on reactor physics calculations. Experiments measuring neutron capture and transmission are routinely performed at the Rensselaer Polytechnic Institute (RPI) LINAC using the time-of flight technique. {sup 6}Li glass scintillation detectors were used for transmission experiments at flight path lengths of 15 and 25 m, respectively. Capture experiments were performed using a sixteen section NaI multiplicity detector at a flight path length of 25 m. These experiments utilized several thicknesses of metallic and isotope-enriched liquid Hf samples. The liquid Hf samples were designed to provide information on the {sup 176}Hf and {sup 178}Hf contributions to the 8 eV doublet without saturation. Data analyses were performed using the R-matrix Bayesian code SAMMY. A combined capture and transmission data analysis yielded resonance parameters for all hafnium isotopes from 0.005 - 200 eV. Additionally, resonance integrals were calculated, along with errors for each hafnium isotope, using the NJOY and INTER codes. The isotopic resonance integrals calculated were significantly different than previous values. The {sup 176}Hf resonance integral, based on this work, is approximately 73% higher than the ENDF/B-VI value. This is due primarily to the changes to resonance parameters in the 8 eV resonance, the neutron width presented in this work is more than twice that of the previous value. The calculated elemental hafnium resonance integral however, changed very little.
Geoelectrical Measurement of Multi-Scale Mass Transfer Parameters
Day-Lewis, Frederick; Singha, Kamini; Haggerty, Roy; Johnson, Tim; Binley, Andrew; Lane, John
2014-01-16T23:59:59.000Z
Mass transfer affects contaminant transport and is thought to control the efficiency of aquifer remediation at a number of sites within the Department of Energy (DOE) complex. An improved understanding of mass transfer is critical to meeting the enormous scientific and engineering challenges currently facing DOE. Informed design of site remedies and long-term stewardship of radionuclide-contaminated sites will require new cost-effective laboratory and field techniques to measure the parameters controlling mass transfer spatially and across a range of scales. In this project, we sought to capitalize on the geophysical signatures of mass transfer. Previous numerical modeling and pilot-scale field experiments suggested that mass transfer produces a geoelectrical signature—a hysteretic relation between sampled (mobile-domain) fluid conductivity and bulk (mobile + immobile) conductivity—over a range of scales relevant to aquifer remediation. In this work, we investigated the geoelectrical signature of mass transfer during tracer transport in a series of controlled experiments to determine the operation of controlling parameters, and also investigated the use of complex-resistivity (CR) as a means of quantifying mass transfer parameters in situ without tracer experiments. In an add-on component to our grant, we additionally considered nuclear magnetic resonance (NMR) to help parse mobile from immobile porosities. Including the NMR component, our revised study objectives were to: 1. Develop and demonstrate geophysical approaches to measure mass-transfer parameters spatially and over a range of scales, including the combination of electrical resistivity monitoring, tracer tests, complex resistivity, nuclear magnetic resonance, and materials characterization; and 2. Provide mass-transfer estimates for improved understanding of contaminant fate and transport at DOE sites, such as uranium transport at the Hanford 300 Area. To achieve our objectives, we implemented a 3-part research plan involving (1) development of computer codes and techniques to estimate mass-transfer parameters from time-lapse electrical data; (2) bench-scale experiments on synthetic materials and materials from cores from the Hanford 300 Area; and (3) field demonstration experiments at the DOE’s Hanford 300 Area. In a synergistic add-on to our workplan, we analyzed data from field experiments performed at the DOE Naturita Site under a separate DOE SBR grant, on which PI Day-Lewis served as co-PI. Techniques developed for application to Hanford datasets also were applied to data from Naturita. 1. Introduction The Department of Energy (DOE) faces enormous scientific and engineering challenges associated with the remediation of legacy contamination at former nuclear weapons production facilities. Selection, design and optimization of appropriate site remedies (e.g., pump-and-treat, biostimulation, or monitored natural attenuation) requires reliable predictive models of radionuclide fate and transport; however, our current modeling capabilities are limited by an incomplete understanding of multi-scale mass transfer—its rates, scales, and the heterogeneity of controlling parameters. At many DOE sites, long “tailing” behavior, concentration rebound, and slower-than-expected cleanup are observed; these observations are all consistent with multi-scale mass transfer [Haggerty and Gorelick, 1995; Haggerty et al., 2000; 2004], which renders pump-and-treat remediation and biotransformation inefficient and slow [Haggerty and Gorelick, 1994; Harvey et al., 1994; Wilson, 1997]. Despite the importance of mass transfer, there are significant uncertainties associated with controlling parameters, and the prevalence of mass transfer remains a point of debate [e.g., Hill et al., 2006; Molz et al., 2006] for lack of experimental methods to verify and measure it in situ or independently of tracer breakthrough. There is a critical need for new field-experimental techniques to measure mass transfer in-situ and estimate multi-scale and spatially variable mass-transfer parame
Soil-Related Input Parameters for the Biosphere Model
A. J. Smith
2004-09-09T23:59:59.000Z
This report presents one of the analyses that support the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN). The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the details of the conceptual model as well as the mathematical model and the required input parameters. The biosphere model is one of a series of process models supporting the postclosure Total System Performance Assessment (TSPA) for the Yucca Mountain repository. A schematic representation of the documentation flow for the Biosphere input to TSPA is presented in Figure 1-1. This figure shows the evolutionary relationships among the products (i.e., analysis and model reports) developed for biosphere modeling, and the biosphere abstraction products for TSPA, as identified in the ''Technical Work Plan for Biosphere Modeling and Expert Support'' (TWP) (BSC 2004 [DIRS 169573]). This figure is included to provide an understanding of how this analysis report contributes to biosphere modeling in support of the license application, and is not intended to imply that access to the listed documents is required to understand the contents of this report. This report, ''Soil-Related Input Parameters for the Biosphere Model'', is one of the five analysis reports that develop input parameters for use in the ERMYN model. This report is the source documentation for the six biosphere parameters identified in Table 1-1. The purpose of this analysis was to develop the biosphere model parameters associated with the accumulation and depletion of radionuclides in the soil. These parameters support the calculation of radionuclide concentrations in soil from on-going irrigation or ash deposition and, as a direct consequence, radionuclide concentration in other environmental media that are affected by radionuclide concentrations in soil. The analysis was performed in accordance with the TWP (BSC 2004 [DIRS 169573]) where the governing procedure was defined as AP-SIII.9Q, ''Scientific Analyses''. This analysis revises the previous version with the same name (BSC 2003 [DIRS 161239]), which was itself a revision of one titled ''Evaluate Soil/Radionuclide Removal by Erosion and Leaching'' (CRWMS M&O 2001 [DIRS 152517]). In Revision 00 of this report, the data generated were fixed values (i.e., taking no account of uncertainty and variability). Revision 01 (BSC 2003 [DIRS 161239]) incorporated uncertainty and variability into the values for the bulk density, elemental partition coefficients, average annual loss of soil from erosion, resuspension enhancement factor, and field capacity water content. The current revision of this document improves the transparency and traceability of the products without changing the details of the analysis. This analysis report supports the treatment of six of the features, events, and processes (FEPs) applicable to the Yucca Mountain reference biosphere (DTN: MO0407SEPFEPLA.000 [DIRS 170760]). The use of the more recent FEP list in DTN: MO0407SEPFEPLA.000 [DIRS 170760] represents a deviation from the detail provided in the TWP (BSC 2004 [DIRS 169573]), which referenced a previous version of the FEP list. The parameters developed in this report support treatment of these six FEPs addressed in the biosphere model that are listed in Table 1-1. Inclusion and treatment of FEPs in the biosphere model is described in the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460], Section 6.2).
Avalanches on a conical bead pile: scaling with tuning parameters
S. Y. Lehman; Elizabeth Baker; Howard A. Henry; Andrew J. Kindschuh; Larry C. Markley; Megan B. Browning; Mary E. Mills; R. Michael Winters IV; D. T. Jacobs
2012-02-24T23:59:59.000Z
Uniform spherical beads were used to explore the behavior of a granular system near its critical angle of repose on a conical bead pile. We found two tuning parameters that could take the system to a critical point where a simple power-law described the avalanche size distribution as predicted by self-organized criticality, which proposed that complex dynamical systems self-organize to a critical point without need for tuning. Our distributions were well described by a simple power-law with the power {\\tau} = 1.5 when dropping beads slowly onto the apex of a bead pile from a small height. However, we could also move the system from the critical point using either of two tuning parameters: the height from which the beads fell onto the top of the pile or the region over which the beads struck the pile. As the drop height increased, the system did not reach the critical point yet the resulting distributions were independent of the bead mass, coefficient of friction, or coefficient of restitution. All our apex-dropping distributions for any type of bead (glass, stainless steel, zirconium) showed universality by scaling onto a common curve with {\\tau} = 1.5 and {\\sigma} = 1.0, where 1/{\\sigma} is the power of the tuning parameter. From independent calculations using the moments of the distribution, we find values for {\\tau} = 1.6 \\pm 0.1 and {\\sigma} = 0.91 \\pm 0.15. When beads were dropped across the surface of the pile instead of solely on the apex, then the system also moved from the critical point and again the avalanche size distributions fell on a common curve when scaled similarly using the same values of {\\tau} and {\\sigma}. We also observed that an hcp structure on the base of the pile caused an emergent structure in the pile that had six faces with some fcc or hcp structure.
Error estimates and specification parameters for functional renormalization
Schnoerr, David [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany)] [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany); Boettcher, Igor, E-mail: I.Boettcher@thphys.uni-heidelberg.de [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany)] [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany); Pawlowski, Jan M. [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany) [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany); ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung mbH, D-64291 Darmstadt (Germany); Wetterich, Christof [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany)] [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany)
2013-07-15T23:59:59.000Z
We present a strategy for estimating the error of truncated functional flow equations. While the basic functional renormalization group equation is exact, approximated solutions by means of truncations do not only depend on the choice of the retained information, but also on the precise definition of the truncation. Therefore, results depend on specification parameters that can be used to quantify the error of a given truncation. We demonstrate this for the BCS–BEC crossover in ultracold atoms. Within a simple truncation the precise definition of the frequency dependence of the truncated propagator affects the results, indicating a shortcoming of the choice of a frequency independent cutoff function.
Parameters of Chelyabinsk and Tunguska Objects and their Explosion Modes
Lobanovsky, Yu I
2013-01-01T23:59:59.000Z
This paper describes briefly a mathematical model that relates the parameters of celestial body motion in spheres of activity of the Sun and the Earth with mass-energy characteristics of these celestial bodies and their explosion modes during destruction in the Earth atmosphere, that in turn are linked with phenomena observed on the underlying surface. This model was used to calculate the characteristics of the objects which are causes of Chelyabinsk and Tunguska incidents. Thus, the basic data characterizing these two outstanding phenomena were obtained with using a regular physical-mathematical procedure without any speculative hypotheses and/or assumptions.
Parameters affecting the fate of metals in various soils
Covar, Andrew Prescott
1975-01-01T23:59:59.000Z
Parameters Affecting the Fate of Metals in Various Soils. (December 1975) Andrew Prescott Covar, B. S. , University of Texas at E1 Paso Chairman of Advisory Committee: Dr. Calvin Woods In this study, the fate of cadmium, copper, lead, nickel, and zinc... DETERMINATION OF WATER SOLUBLE, EXCHANGEABLE, ORGANIC BOUND, AND MINERAL ASSOCIATED METALS ? SPLIT I I PAGE 18 19 3 CADMIUM UPTAKE BY SOIL TYPE 4 COPPER UPTAKE BY SOIL TYPE 5 LEAD UPTAKE BY SOIL TYPE 6 NICKEL UPTAKE BY SOIL TYPE 7 ZINC UPTAKE BY SOIL...
Note: Characteristic beam parameter for the line electron gun
Iqbal, M. [Centre for High Energy Physics, University of the Punjab, Lahore 45590 (Pakistan) [Centre for High Energy Physics, University of the Punjab, Lahore 45590 (Pakistan); Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049 (China); Islam, G. U. [Centre for High Energy Physics, University of the Punjab, Lahore 45590 (Pakistan)] [Centre for High Energy Physics, University of the Punjab, Lahore 45590 (Pakistan); Zhou, Z.; Chi, Y. [Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049 (China)] [Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049 (China)
2013-11-15T23:59:59.000Z
We have optimized the beam parameters of line source electron gun using Stanford Linear Accelerator Centre electron beam trajectory program (EGUN), utilizing electrostatic focusing only. We measured minimum beam diameter as 0.5 mm that corresponds to power density of 68.9 kW/cm{sup 2} at 13.5 mm in the post-anode region which is more than two-fold (33 kW/cm{sup 2}), of the previously reported results. The gun was operated for the validation of the theoretical results and found in good agreement. The gun is now without any magnetic and electrostatic focusing thus much simpler and more powerful.
Robust quantum parameter estimation: Coherent magnetometry with feedback
Stockton, John K.; Geremia, J.M.; Doherty, Andrew C.; Mabuchi, Hideo [Norman Bridge Laboratory of Physics, Mail Code 12-33, California Institute of Technology, Pasadena, California 91125 (United States)
2004-03-01T23:59:59.000Z
We describe the formalism for optimally estimating and controlling both the state of a spin ensemble and a scalar magnetic field with information obtained from a continuous quantum limited measurement of the spin precession due to the field. The full quantum parameter estimation model is reduced to a simplified equivalent representation to which classical estimation and control theory is applied. We consider both the tracking of static and fluctuating fields in the transient and steady-state regimes. By using feedback control, the field estimation can be made robust to uncertainty about the total spin number.
Multi-parameter Laser Modes in Paraxial Optics
Christoph Koutschan; Erwin Suazo; Sergei K. Suslov
2015-04-19T23:59:59.000Z
We study multi-parameter solutions of the inhomogeneous paraxial wave equation in a linear and quadratic approximation which include oscillating laser beams in a parabolic waveguide, spiral light beams, and other important families of propagation-invariant laser modes in weakly varying media. A "smart" lens design and a similar effect of superfocusing of particle beams in a thin monocrystal film are also discussed. In the supplementary electronic material, we provide a computer algebra verification of the results presented here, and of some related mathematical tools that were stated without proofs in the literature.
Signal processing for longitudinal parameters of the Tevatron beam
Pordes, S.; Crisp, J.; Fellenz, B.; Flora, R.; Para, A.; Tollestrup, A.V.; /Fermilab
2005-05-01T23:59:59.000Z
We describe the system known as the Tevatron SBD [1] which is used to provide information on the longitudinal parameters of coalesced beam bunches in the Tevatron. The system has been upgraded over the past year with a new digitizer and improved software. The quantities provided for each proton and antiproton bunch include the intensity, the longitudinal bunch profile, the timing of the bunch with respect to the low-level RF, the momentum spread and the longitudinal emittance. The system is capable of 2 Hz operation and is run at 1 Hz.
Finding New Thermoelectric Compounds Using Crystallographic Data: Atomic Displacement Parameters
Chakoumakos, B.C.; Mandrus, D.G.; Sales, B.C.; Sharp, J.W.
1999-08-29T23:59:59.000Z
A new structure-property relationship is discussed which links atomic displacement parameters (ADPs) and the lattice thermal conductivity of clathrate-like compounds. For many clathrate-like compounds, in which one of the atom types is weakly bound and ''rattles'' within its atomic cage, room temperature ADP information can be used to estimate the room temperature lattice thermal conductivity, the vibration frequency of the ''rattler'', and the temperature dependence of the heat capacity. Neutron data and X-ray crystallography data, reported in the literature, are used to apply this analysis to several promising classes of thermoelectric materials.
Solid angle and surface density as criticality parameters
Thomas, J.T.
1980-10-01T23:59:59.000Z
Two methods often used to establish nuclear criticality safety limits for operations with fissile materials are the surface density and solid angle techniques. The two methods are used as parameters to express experimental and validated calculations of critical configurations. It is demonstrated that each method can represent critical arrangements of subcritical units and that there can be established a one-to-one correspondence between them. The analyses further show that the effect on an array neutron multiplication factor of perturbations to the array can be reliably estimated and that each form of fissile material and unit shape has a specific representation.
Outdoor PV Module Degradation of Current-Voltage Parameters: Preprint
Smith, R. M.; Jordan, D. C.; Kurtz, S. R.
2012-04-01T23:59:59.000Z
Photovoltaic (PV) module degradation rate analysis quantifies the loss of PV power output over time and is useful for estimating the impact of degradation on the cost of energy. An understanding of the degradation of all current-voltage (I-V) parameters helps to determine the cause of the degradation and also gives useful information for the design of the system. This study reports on data collected from 12 distinct mono- and poly-crystalline modules deployed at the National Renewable Energy Laboratory (NREL) in Golden, Colorado. Most modules investigated showed < 0.5%/year decrease in maximum power due to short-circuit current decline.
Inhalation Exposure Input Parameters for the Biosphere Model
M. Wasiolek
2006-06-05T23:59:59.000Z
This analysis is one of the technical reports that support the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), referred to in this report as the biosphere model. ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the conceptual model as well as the mathematical model and its input parameters. This report documents development of input parameters for the biosphere model that are related to atmospheric mass loading and supports the use of the model to develop biosphere dose conversion factors (BDCFs). The biosphere model is one of a series of process models supporting the total system performance assessment (TSPA) for a Yucca Mountain repository. ''Inhalation Exposure Input Parameters for the Biosphere Model'' is one of five reports that develop input parameters for the biosphere model. A graphical representation of the documentation hierarchy for the biosphere model is presented in Figure 1-1 (based on BSC 2006 [DIRS 176938]). This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and how this analysis report contributes to biosphere modeling. This analysis report defines and justifies values of atmospheric mass loading for the biosphere model. Mass loading is the total mass concentration of resuspended particles (e.g., dust, ash) in a volume of air. Mass loading values are used in the air submodel of the biosphere model to calculate concentrations of radionuclides in air inhaled by a receptor and concentrations in air surrounding crops. Concentrations in air to which the receptor is exposed are then used in the inhalation submodel to calculate the dose contribution to the receptor from inhalation of contaminated airborne particles. Concentrations in air surrounding plants are used in the plant submodel to calculate the concentrations of radionuclides in foodstuffs contributed from uptake by foliar interception. This report is concerned primarily with the physical attributes of airborne particulate matter, such as the airborne concentrations of particles and their sizes. The conditions of receptor exposure (duration of exposure in various microenvironments), breathing rates, and dosimetry of inhaled particulates are discussed in more detail in ''Characteristics of the Receptor for the Biosphere Model'' (BSC 2005 [DIRS 172827]).
Jet quenching parameters of Sakai-Sugimoto Model
Yi-hong Gao; Wei-shui Xu; Ding-fang Zeng
2007-07-08T23:59:59.000Z
Using gauge theory/string duality, we calculated the jet quenching parameter $\\hat{q}$ of the Sakai-Sugimoto model in various phases. Being different from the $\\mathcal{N}=4$ SYM theory where $\\hat{q}\\propto T^3$, we find that $\\hat{q}\\propto T^4/T_d$, where $T_d$ is the critical temperature of the confined/deconfined phase transition. By analyzing the $\\hat{q}$ in different phases of this theory, we get better understanding about some statements in previous works, such as the non-universality and the explanation of discrepancies between the theory predictions and experiments.
Perturbed power-law parameters from WMAP7
Joy, Minu [Dept. of Physics, Alphonsa College, Pala 686574 (India); Souradeep, Tarun, E-mail: minu@iucaa.ernet.in, E-mail: tarun@iucaa.ernet.in [Inter-University Centre for Astronomy and Astrophysics, Post Bag 4, Ganeshkhind, Pune 411 007 (India)
2011-02-01T23:59:59.000Z
We present a perturbative approach for studying inflation models with soft departures from scale free spectra of the power law model. In the perturbed power law (PPL) approach one obtains at the leading order both the scalar and tensor power spectra with the running of their spectral indices. In contrast to the widely used slow roll expansion method, for which ? and ? have to be small, PPL can look also at models with comparatively larger ? and ? with the condition that (?+?) is small. The PPL spectrum is confronted data and we show that the PPL parameters are well estimated from WMAP-7 data.
Utility of observational Hubble parameter data on dark energy evolution
Meng, Xiao-Lei; Li, Shi-Yu; Zhang, Tong-Jie
2015-01-01T23:59:59.000Z
Aiming at exploring the nature of dark energy, we use thirty-six observational Hubble parameter data (OHD) in the redshift range $0 \\leqslant z \\leqslant 2.36$ to make a cosmological model-independent test of the two-point $Omh^2(z_{2};z_{1})$ diagnostic. In $\\Lambda$CDM, we have $Omh^2 \\equiv \\Omega_{m}h^2$, where $\\Omega_{m}$ is the matter density parameter at present. We bin all the OHD into four data points to mitigate the observational contaminations. By comparing with the value of $\\Omega_{m}h^2$ which is constrained tightly by the Planck observations, our results show that in all six testing pairs of $Omh^2$ there are two testing pairs are consistent with $\\Lambda$CDM at $1\\sigma$ confidence level (CL), whereas for another two of them $\\Lambda$CDM can only be accommodated at $2\\sigma$ CL. Particularly, for remaining two pairs, $\\Lambda$CDM is not compatible even at $2\\sigma$ CL. Therefore it is reasonable that although deviations from $\\Lambda$CDM exist for some pairs, cautiously, we cannot rule out th...
Microcomputer aided calculations of parameters for spray dryer operation
Yeh, J.T.; Gyorke, D.F.; Pennline, H.W.; Drummond, C.J.
1985-01-01T23:59:59.000Z
This paper provides a series of practical microcomputer programs that can be used as a tool by engineers and researchers working with spray dryers for combustion process effluent control. The microcomputer programs calculate flue gas composition (CO/sub 2/, N/sub 2/, O/sub 2/, H/sub 2/O, and SO/sub 2/) from the composition of the fuel. The residence time of the flue gas in a spray dryer can be estimated, and using values provided by the user for the flow of water and absorbent slurry in the spray dryer, the program recalculates the flue gas composition and heat capacity at the exit of the spray dryer without accounting for any SO/sub 2/ removal that could occur in the spray dryer. From these values and the system pressure, the dew point and flue gas temperature at the spray dryer exit are calculated, providing the approach to saturation resulting from this choice of operating parameters. This computer code would enable a process engineer to quickly evaluate effects of important process parameters, such as flue gas temperature at the inlet to the spray dryer, atomizer water feed rate, and absorbent slurry concentration and feed rate, on the operation of a spray dryer.
Deconvolution of mixed gamma emitters using peak parameters
Gadd, Milan S [Los Alamos National Laboratory; Garcia, Francisco [Los Alamos National Laboratory; Magadalena, Vigil M [Los Alamos National Laboratory
2011-01-14T23:59:59.000Z
When evaluating samples containing mixtures of nuclides using gamma spectroscopy the situation sometimes arises where the nuclides present have photon emissions that cannot be resolved by the detector. An example of this is mixtures of {sup 241}Am and plutonium that have L x-ray emissions with slightly different energies which cannot be resolved using a high-purity germanium detector. It is possible to deconvolute the americium L x-rays from those plutonium based on the {sup 241}Am 59.54 keV photon. However, this requires accurate knowledge of the relative emission yields. Also, it often results in high uncertainties in the plutonium activity estimate due to the americium yields being approximately an order of magnitude greater than those for plutonium. In this work, an alternative method of determining the relative fraction of plutonium in mixtures of {sup 241}Am and {sup 239}Pu based on L x-ray peak location and shape parameters is investigated. The sensitivity and accuracy of the peak parameter method is compared to that for conventional peak decovolution.
Schachinger, L.C.
2011-01-01T23:59:59.000Z
and Controlling Accelerator Physics Parameters at theLight Source for accelerator physics studies and accelerator
Vrugt, Jasper A.
paramet- kind of observational data (Zachmann et al., 1981; Koolric model structure and provides useful
Aligned vertical fractures, HTI reservoir symmetry, and Thomsen seismic anisotropy parameters
Berryman, James G.
2008-01-01T23:59:59.000Z
seismic parameters for fractured reservoirs when the crackin a naturally fractured gas reservoir, The Leading Edge,
Estimating Wind Turbine Parameters and Quantifying Their Effects on Dynamic Behavior
Hiskens, Ian A.
1 Estimating Wind Turbine Parameters and Quantifying Their Effects on Dynamic Behavior Jonathan variable-speed wind turbines in grid stability studies. Often the values for model parameters are poorly parameters on the dynamic behavior of wind turbine generators. A parameter estimation process is then used
Implant for in-vivo parameter monitoring, processing and transmitting
Ericson, Milton N. (Knoxville, TN); McKnight, Timothy E. (Greenback, TN); Smith, Stephen F. (London, TN); Hylton, James O. (Clinton, TN)
2009-11-24T23:59:59.000Z
The present invention relates to a completely implantable intracranial pressure monitor, which can couple to existing fluid shunting systems as well as other internal monitoring probes. The implant sensor produces an analog data signal which is then converted electronically to a digital pulse by generation of a spreading code signal and then transmitted to a location outside the patient by a radio-frequency transmitter to an external receiver. The implanted device can receive power from an internal source as well as an inductive external source. Remote control of the implant is also provided by a control receiver which passes commands from an external source to the implant system logic. Alarm parameters can be programmed into the device which are capable of producing an audible or visual alarm signal. The utility of the monitor can be greatly expanded by using multiple pressure sensors simultaneously or by combining sensors of various physiological types.
Visual display of reservoir parameters affecting enhanced oil recovery
Wood, J.R.
1996-04-30T23:59:59.000Z
This project consists of two parts. In Part 1, well logs, other well data, drilling, and production data for the Pioneer Field in the southern San Joaquin Valley of California were obtained, assembled, and input to a commercial relational database manager. These data are being used in PC-based geologic mapping, evaluation, and visualization software programs to produce 2-D and 3-D representations of the reservoir geometry, facies and subfacies, stratigraphy, porosity, oil saturation, and other measured and model parameters. Petrographic and petrophysical measurements made on samples from Pioneer Field, including core, cuttings and liquids, are being used to calibrate the log suite. In Part 2, these data sets are being used to develop algorithms to correlate log response to geologic and engineering measurements. Rock alteration due to interactions with hot fluids are being quantitatively modeled and used to predict the reservoir response if the rock were subjected to thermally enhanced oil recovery (TEOR).
Stop on Top: SUSY Parameter Regions, Fine-Tuning Constraints
Demir, Durmus Ali
2014-01-01T23:59:59.000Z
We analyze common supersymmetric models in order to determine in what parameter regions with what amount of fine-tuning they are capable of accomodating the LHC-allowed top-stop degeneracy window. The stops must be light enough to enable Higgs naturalness yet heavy enough to induce a 125 GeV Higgs boson mass. These two constraints require the two stops to have a large mass splitting. We find that, compared to the usual neutralino-LSP CMSSM, the NUHM and gravitino-LSP CMSSM models possess relatively wide regions in which the light stop weighs close to the top quark. The fine-tuning involved lies in 10^3-10^4 range.
Precision measurements of Standard Model parameters with the ATLAS detector
Brandt, Gerhard; The ATLAS collaboration
2015-01-01T23:59:59.000Z
The ATLAS Collaboration is engaged in precision measurement of fundamental Standard Model parameters, e.g. the weak-mixing angle and the complete set of coefficients that describe the angular distributions of Drell-Yan production. A measurement of the forward-backward asymmetry for the neutral current Drell Yan process is presented and the results are then used to extract a measurement of the effective weak mixing angle. This measurement shows significant sensitivity to the uncertainties of the parton density functions of the proton. The angular distributions of the Drell-Yan lepton pairs around the Z-boson mass peak probe the underlying QCD dynamic of the Z-boson production mechanisms. We present a measurement of the complete set of angular coefficients describing these distributions using 8 TeV centre-of-mass energy. The measurement is compared with the theoretical predictions and shows discrimination power between different approaches of the QCD modeling.
Parameters for Cold Collisions of Lithium and Caesium Atoms
Ouerdane, H
2015-01-01T23:59:59.000Z
We calculate the s-wave scattering length and effective range and the p-wave scattering volume for $^7$Li atoms interacting with $^{133}$Cs atoms via the X$^1\\Sigma^+_g$ molecular potential. The length and volume are found by fitting the log-derivative of the zero energy wave function evaluated at short range to a long range expression that accounts for the leading van der Waals dispersion potential and then incorporating the remaining long range dispersion contributions to first order. The effective range is evaluated from a quadrature formula. The calculated parameters are checked from the zero energy limits of the scattering phase shifts. We comment on ill-conditioning in the calculated s-wave scattering length.
Delayed neutron data and group parameters for 43 fissioning systems
Brady, M.C. (Oak Ridge National Lab., TN (USA)); England, T.R. (Los Alamos National Lab., NM (USA))
1989-10-01T23:59:59.000Z
The quality and quantity of delayed neutron precursor data have greatly improved over the past decade and a half. Supplementation of the data with model calculations and the use of models to extend the number of precursors to 271 is now practical. These data, along with other improved fission product parameters, permit direct calculations of aggregate behavior for many fissioning nuclides. The results can still be approximated using a few (usually six) temporal groups, including corresponding spectra, as in past practice for reactor physics. An extensive effort to provide a complete set of evaluated data is summarized, with an emphasis on its use to generate the temporal approximations; precursor data and group values are intended for inclusion in ENDF/B-VI.
A search for cool subdwarfs: Stellar parameters for 134 candidates
David Yong; David L. Lambert
2002-09-17T23:59:59.000Z
The results of a search for cool subdwarfs are presented. Kinematic (U, V, and W) and stellar parameters (Teff, log g, [Fe/H], and V_t) are derived for 134 candidate subdwarfs based on high resolution spectra. The observed stars span 4200K < Teff < 6400K and -2.70 < [Fe/H] < 0.25 including only 8 giants (log g < 4.0). Of the sample, 100 stars have MgH bands present in their spectra. The targets were selected by their large reduced proper-motion, the offset from the solar metallicity main sequence, or culled from the literature. We confirm the claims made by Ryan (1989) regarding the NLTT catalog being a rich source of subdwarfs and verify the success of the reduced proper-motion constraint in identifying metal-poor stars.
Optimal Bayesian experimental design for contaminant transport parameter estimation
Tsilifis, Panagiotis; Hajali, Paris
2015-01-01T23:59:59.000Z
Experimental design is crucial for inference where limitations in the data collection procedure are present due to cost or other restrictions. Optimal experimental designs determine parameters that in some appropriate sense make the data the most informative possible. In a Bayesian setting this is translated to updating to the best possible posterior. Information theoretic arguments have led to the formation of the expected information gain as a design criterion. This can be evaluated mainly by Monte Carlo sampling and maximized by using stochastic approximation methods, both known for being computationally expensive tasks. We propose an alternative framework where a lower bound of the expected information gain is used as the design criterion. In addition to alleviating the computational burden, this also addresses issues concerning estimation bias. The problem of permeability inference in a large contaminated area is used to demonstrate the validity of our approach where we employ the massively parallel vers...
Parameter space region in the collisional magnetized electronegative plasma
Yasserian, Kiomars [Department of Physics, Karaj Branch, P.O. Box 31485-313, Islamic Azad University, Karaj (Iran, Islamic Republic of); Aslaninejad, Morteza [Blackett Laboratory, Imperial College London, South Kensington Campus, London SW7 2AZ (United Kingdom)
2010-02-15T23:59:59.000Z
The influence of the elastic collisions on the structure of a magnetized electronegative discharge is investigated. For a constant magnetic field, the profiles of the velocities of positive ions, the density of species, and electric potential are obtained. Furthermore, the positive ion flux is obtained as a function of magnetic field strength for different values of the collision frequency. The results show that in the absence of collision in a constant magnetic field, the discharge structure is uniform while by taking the collision into account, the structure becomes multilayer stratified. By increasing the collision frequency the discharge leaves the multilayer structure, and related oscillations in the plasma potential and space charge vanish. The parameter space region is obtained for collisionless and collisional cases. In this paper it is shown that a combined effect of collision and magnetic field determines the presheath-sheath structure.
Parameter estimation for agenda-based user simulation
Simon Keizer; Filip Jur?í?ek; François Mairesse; Blaise Thomson; Kai Yu; Steve Young
This paper presents an agenda-based user simulator which has been extended to be trainable on real data with the aim of more closely modelling the complex rational behaviour exhibited by real users. The trainable part is formed by a set of random decision points that may be encountered during the process of receiving a system act and responding with a user act. A samplebased method is presented for using real user data to estimate the parameters that control these decisions. Evaluation results are given both in terms of statistics of generated user behaviour and the quality of policies trained with different simulators. Compared to a handcrafted simulator, the trained system provides a much better fit to corpus data and evaluations suggest that this better fit should result in improved dialogue performance. 1
Calculation of thermal parameters of SiGe microbolometers
Voitsekhovskii, A V; Yuryev, V A; Nesmelov, S N; 10.1007/s11182-008-9015-4
2012-01-01T23:59:59.000Z
The thermal parameters of a SiGe microbolometer were calculated using numerical modeling. The calculated thermal conduction and thermal response time are in good agreement with the values found experimentally and range between 2x10$^-7$ and 7x10$^-8$ W/K and 1.5 and 4.5 ms, respectively. High sensitivity of microbolometer is achieved due to optimization of the thermal response time and thermal conduction by fitting the geometry of supporting heat-removing legs or by selection of a suitable material providing boundary thermal resistance higher than 8x10$^-3$ cm$^2$K/W at the SiGe interface.
Bose-Einstein Condensates in the Large Gas Parameter Regime
A. Fabrocini; A. Polls
2001-01-25T23:59:59.000Z
Bose-Einstein condensates of 10$^4$ $^{85}$Rb atoms in a cylindrical trap are studied using a recently proposed modified Gross-Pitaevskii equation. The existence of a Feshbach resonance allows for widely tuning the scattering length of the atoms, and values of the peak gas parameter, $x_{pk}$, of the order of 10$^{-2}$ can be attained. We find large differences between the results of the modified Gross-Pitaevskii and of the standard Thomas-Fermi, and Gross-Pitaevskii equations in this region. The column densities at $z=0$ may differ by as much as $\\sim 30%$ and the half maximum radius by $\\sim 20%$. The scattering lengths estimated by fitting the half maximum radius within different approaches can differ by $\\sim 40%$.
Hafnium Resonance Parameter Analysis Using Neutron Capture and Transmission Experiments
MJ Trbovich; DP Barry; RE Slovacck; Y Danon; RC Block; JA Burke; NJ Drindak; G Leinweber; RV Ballad
2004-10-13T23:59:59.000Z
The focus of this work is to determine resonance parameters for stable hafnium isotopes in the 0.005-200 eV region, with special emphasis on the overlapping {sup 176}Hf and {sup 178}Hf resonances near 8 eV. The large neutron cross section of hafnium, combined with its corrosion resistance and excellent mechanical properties, make it a useful material for controlling nuclear reactions. Experiments measuring neutron capture and transmission were performed at the Rensselaer Polytechnic Institute (RPI) electron linear accelerator (LINAC) using the time of flight method. {sup 6}Li glass scintillation detectors were used for transmission experiments at flight path lengths of 15 and 25 m. Capture experiments were done using a sixteen section NaI(Tl) multiplicity detector at a flight path length of 25 m. These experiments utilized various thicknesses of metallic and isotopically-enriched liquid samples. The liquid samples were designed to provide information on the {sup 176}Hf and {sup 178}Hf contributions to the 8 eV doublet without saturation. Data analysis was done using the R-matrix Bayesian code SAMMY version M6 beta. SAMMY is able to account for experimental resolution effects for each of the experimental setups at the RPI LINAC, and also can correct for multiple scattering effects in neutron capture yield data. The combined capture and transmission data analysis yielded resonance parameters for all hafnium isotopes from 0.005-200 eV. Resonance integrals were calculated along with errors for each hafnium isotope using the NJOY [1] and INTER [2] codes. The isotopic resonance integrals calculated were significantly different than previously published values; however the calculated elemental hafnium resonance integral changed very little.
CONSTRAINING THE SYMMETRY PARAMETERS OF THE NUCLEAR INTERACTION
Lattimer, James M. [Department of Physics and Astronomy, Stony Brook University, Stony Brook, NY 11794-3800 (United States); Lim, Yeunhwan, E-mail: james.lattimer@stonybrook.edu, E-mail: yeunhwan.lim@gmail.com [Department of Physics Education, Daegu University, Gyeongsan 712-714 (Korea, Republic of)
2013-07-01T23:59:59.000Z
One of the major uncertainties in the dense matter equation of state has been the nuclear symmetry energy. The density dependence of the symmetry energy is important in nuclear astrophysics, as it controls the neutronization of matter in core-collapse supernovae, the radii of neutron stars and the thicknesses of their crusts, the rate of cooling of neutron stars, and the properties of nuclei involved in r-process nucleosynthesis. We show that fits of nuclear masses to experimental masses, combined with other experimental information from neutron skins, heavy ion collisions, giant dipole resonances, and dipole polarizabilities, lead to stringent constraints on parameters that describe the symmetry energy near the nuclear saturation density. These constraints are remarkably consistent with inferences from theoretical calculations of pure neutron matter, and, furthermore, with astrophysical observations of neutron stars. The concordance of experimental, theoretical, and observational analyses suggests that the symmetry parameters S{sub v} and L are in the range 29.0-32.7 MeV and 40.5-61.9 MeV, respectively, and that the neutron star radius, for a 1.4 M{sub Sun} star, is in the narrow window 10.7 km
Entropy In The Present And Early Universe: New Small Parameters And Dark Energy Problem
A. E. Shalyt-Margolin
2010-04-16T23:59:59.000Z
It is demonstrated that entropy and its density play a significant role in solving the problem of the vacuum energy density (cosmological constant) of the Universe and hence the dark energy problem. Taking this in mind, two most popular models for dark energy - Holographic Dark Energy Model and Agegraphic Dark Energy Model - are analyzed. It is shown that the fundamental quantities in the first of these models may be expressed in terms of a new small dimensionless parameter. It is revealed that this parameter is naturally occurring in High Energy Gravitational Thermodynamics and Gravitational Holography (UV-limit). On this basis the possibility of a new approach to the problem of Quantum Gravity is discussed. Besides, the results obtained on the uncertainty relation of the pair "cosmological constant - volume of space-time", where the cosmological constant is a dynamic quantity, are reconsidered and generalized up to the Generalized Uncertainty Relation.
Complete control of gauge parameter dependence in the Abelian Higgs model
Rainer Häußling; Stephan Kappel
1997-07-18T23:59:59.000Z
We examine the dependence on all gauge parameters in the example of the Abelian Higgs model by applying a general algebraic method which roots in an extension of the usual Slavnov-Taylor identity. This method automatically yields all information about the gauge parameter dependence of Green functions and therefore especially allows to control the range of ``good'' normalization conditions. In this context we show that the physical on-shell normalization conditions are in complete agreement with the restrictions dictated by the enlarged Slavnov-Taylor identity and that the coupling can be fixed in an easily handleable way on the Ward identity of local gauge invariance. As an application of the general method we also study the Callan-Symanzik equation and the renormalization group equation of the Abelian Higgs model.
Dobos, A. P.
2012-05-01T23:59:59.000Z
This paper describes an improved algorithm for calculating the six parameters required by the California Energy Commission (CEC) photovoltaic (PV) Calculator module model. Rebate applications in California require results from the CEC PV model, and thus depend on an up-to-date database of module characteristics. Currently, adding new modules to the database requires calculating operational coefficients using a general purpose equation solver - a cumbersome process for the 300+ modules added on average every month. The combination of empirical regressions and heuristic methods presented herein achieve automated convergence for 99.87% of the 5487 modules in the CEC database and greatly enhance the accuracy and efficiency by which new modules can be characterized and approved for use. The added robustness also permits general purpose use of the CEC/6 parameter module model by modelers and system analysts when standard module specifications are known, even if the module does not exist in a preprocessed database.
Horizon Mechanics and Asymptotic Symmetries with a Immirzi-like Parameter in 2+1 Dimensions
Rudranil Basu; Ayan Chatterjee
2011-04-06T23:59:59.000Z
Starting with a generalized theory of 2+1 gravity containing an Immirzi like parameter, we derive the modified laws of black hole mechanics using the formalism of weak isolated horizons. Definitions of horizon mass and angular momentum emerge naturally in this framework. We further go on to analyze the asymptotic symmetries, as first discussed by Brown and Henneaux, and analyze their implications in a completely covariant phase space framework.
Geographic and Operational Site Parameters List (GOSPL) for the 2004 Composite Analysis
Last, George V.; Nichols, William E.; Kincaid, Charles T.
2004-07-01T23:59:59.000Z
This report briefly describes each of the key data fields, including the source(s) of data, and provides the resulting inputs to be used for the 2004 Composite Analysis. A master spreadsheet termed the Geographic and Operational Site Parameters List (GOSPL) was assembled to facilitate the generation of keyword input files containing general information on each waste site, its operational/disposal history, and its environmental settings (past, current, and future).
Identifying and resolving the degeneracies in neutrino oscillation parameters in current experiments
Ghosh, Monojit; Goswami, Srubabati; Nath, Newton; Raut, Sushant K
2015-01-01T23:59:59.000Z
The three major unknown neutrino oscillation parameters at the present juncture are the mass hierarchy, the octant of the mixing angle $\\theta_{23}$ and the CP phase $\\delta_{CP}$. It is well known that the presence of hierarchy$-\\delta_{CP}$ and octant degeneracies affects the unambiguous determination of these parameters. In this paper we show a comprehensive way to study the remaining parameter degeneracies is in the form of generalized hierarchy$- \\theta_{23} - \\delta_{CP}$ degeneracy. This is best depicted as contours in the test ($\\theta_{23} - \\delta_{CP}$) plane for different representative true values of parameters. We show that depending on whether the wrong-hierarchy and/or wrong-octant solutions occur in this plane with wrong or right value of $\\delta_{CP}$, a total of eight different possibilities can exist. These multiple solutions, apart from affecting the determination of the true hierarchy and octant, also affect the accurate estimation of $\\delta_{CP}$. We identify which of these eight diffe...
Precision Measurement of Neutrino Oscillation Parameters with KamLAND
KamLAND,; O'Donnell, Thomas
2011-12-12T23:59:59.000Z
This dissertation describes a measurement of the neutrino oscillation parameters #1;{Delta}m{sup 2}{sub 21}, θ{sub 12} and constraints on θ{sub 13} based on a study of reactor antineutrinos at a baseline of ∼ 180 km with the KamLAND detector. The data presented here was collected between April 2002 and November 2009, and amounts to a total exposure of 2.64 ? 0.07 ? 10{sup 32} proton-years. For this exposure we expect 2140 ? 74(syst) antineutrino candidates from reactors, assuming standard model neutrino behavior, and 350?88(syst) candidates from background. The number observed is 1614. The ratio of background-subtracted candidates observed to expected is (N{sub Obs} − N{sub Bkg})/N{sub Exp} = 0.59 ? 0.02(stat) ? 0.045(syst) which confirms reactor neutrino disappearance at greater than 5σ significance. Interpreting this deficit as being due to neutrino oscillation, the best-fit oscillation parameters from a three-flavor analysis are #1;{Delta}m{sup 2}{sub 21} = 7.60{sup +0.20}{sub −0.19}?10{sup −5}eV{sup 2}, θ{sub 12} = 32.5 ? 2.9 degrees and sin{sup 2} θ{sub 13} = 0.025{sup +0.035}{sub −0.035}, the 95% confidence-level upper limit on sin{sup 2} θ{sub 13} is sin{sup 2} θ{sub 13} < 0.083. Assuming CPT invariance, a combined analysis of KamLAND and solar neutrino data yields best-fit values: #1;{Delta}m{sup 2}{sub 21} = 7.60{sup +0.20}{sub −0.20} ? 10{sup −5}eV{sup 2}, θ{sub 12} = 33.5{sup +1.0}{sub −1.1} degrees, and sin{sup 2} θ{sub 13} = 0.013 ? 0.028 or sin{sup 2} θ{sub 13} < 0.06 at the 95% confidence level.
Cluggish, B.; Zhao, L.; Kim, J. S. [FAR-TECH, Inc., 3550 General Atomics Court, MS 15-155, San Diego, California 92121 (United States)
2010-02-15T23:59:59.000Z
Although heating power and gas pressure are two of the two of primary experimental ''knobs'' available to users of electron cyclotron resonance ion sources, there is still no clear understanding of how they interact in order to provide optimal plasma conditions. FAR-TECH, Inc. has performed a series of simulations with its generalized electron cyclotron resonance ion source model in which the power and pressure were varied over a wide range. Analysis of the numerical data produces scaling laws that predict the plasma parameters as a function of the power and pressure. These scaling laws are in general agreement with experimental data.
Relativistic Nuclear Energy Density Functionals: adjusting parameters to binding energies
T. Niksic; D. Vretenar; P. Ring
2008-09-08T23:59:59.000Z
We study a particular class of relativistic nuclear energy density functionals in which only nucleon degrees of freedom are explicitly used in the construction of effective interaction terms. Short-distance (high-momentum) correlations, as well as intermediate and long-range dynamics, are encoded in the medium (nucleon density) dependence of the strength functionals of an effective interaction Lagrangian. Guided by the density dependence of microscopic nucleon self-energies in nuclear matter, a phenomenological ansatz for the density-dependent coupling functionals is accurately determined in self-consistent mean-field calculations of binding energies of a large set of axially deformed nuclei. The relationship between the nuclear matter volume, surface and symmetry energies, and the corresponding predictions for nuclear masses is analyzed in detail. The resulting best-fit parametrization of the nuclear energy density functional is further tested in calculations of properties of spherical and deformed medium-heavy and heavy nuclei, including binding energies, charge radii, deformation parameters, neutron skin thickness, and excitation energies of giant multipole resonances.
Measurement of main parameters of the \\psi(2S) resonance
Anashin, V V; Baldin, E M; Barladyan, A K; Barnyakov, A Yu; Barnyakov, M Yu; Baru, S E; Basok, I Yu; Beloborodova, O L; Blinov, A E; Blinov, V E; Bobrov, A V; Bobrovnikov, V S; Bogomyagkov, A V; Bondar, A E; Buzykaev, A R; Eidelman, S I; Grigoriev, D N; Glukhovchenko, Yu M; Gulevich, V V; Gusev, D V; Karnaev, S E; Karpov, G V; Karpov, S V; Kharlamova, T A; Kiselev, V A; Kolmogorov, V V; Kononov, S A; Kotov, K Yu; Kravchenko, E A; Kudryavtsev, V N; Kulikov, V F; Kurkin, G Ya; Kuper, E A; Levichev, E B; Maksimov, D A; Malyshev, V M; Maslennikov, A L; Medvedko, A S; Meshkov, O I; Mishnev, S I; Morozov, I I; Muchnoi, N Yu; Neufeld, V V; Nikitin, S A; Nikolaev, I B; Okunev, I N; Onuchin, A P; Oreshkin, S B; Orlov, I O; Osipov, A A; Peleganchuk, S V; Pivovarov, S G; Piminov, P A; Petrov, V V; Poluektov, A O; Prisekin, V G; Ruban, A A; Sandyrev, V K; Savinov, G A; Shamov, A G; Shatilov, D N; Shwartz, B A; Simonov, E A; Sinyatkin, S V; Skrinsky, A N; Smaluk, V V; Sokolov, A V; Sukharev, A M; Starostina, E V; Talyshev, A A; Tayursky, V A; Telnov, V I; Tikhonov, Yu A; Todyshev, K Yu; Tumaikin, G M; Usov, Yu V; Vorobiov, A I; Yushkov, A N; Zhilich, V N; Zhulanov, V V; Zhuravlev, A N
2011-01-01T23:59:59.000Z
A high-precision determination of the main parameters of the \\psi(2S) resonance has been performed with the KEDR detector at the VEPP-4M e^{+}e^{-} collider in three scans of the \\psi(2S)--\\psi(3770) energy range. Fitting the energy dependence of the multihadron cross section in the vicinity of \\psi(2S) we obtained the mass value which is discussed in a separate paper and the product of the electron partial width by the branching fraction into hadrons \\Gamma_{ee}*B_{h} = 2.233 +- 0.015 +- 0.036 keV. Using the world average values of the electron and hadron branching fractions, one obtains the electron partial width and the total width of \\psi(2S): \\Gamma_{ee} =2.282 +- 0.015 +- 0.037 keV, \\Gamma = 296 +- 2 +- 8 keV. These results are consistent with and more than two times better than any of the previous experiments
Probing Neutrino Oscillation Parameters using High Power Superbeam from ESS
Agarwalla, Sanjib Kumar; Prakash, Suprabh
2014-01-01T23:59:59.000Z
A high-power neutrino superbeam experiment at the ESS facility has been proposed such that the source-detector distance falls at the second oscillation maximum, giving very good sensitivity to the measurement of CP violation. In this work, we explore the comparative physics reach of the experiment in terms of leptonic CP-violation, precision on atmospheric parameters, non-maximal theta23, and its octant for a variety of choices for the baselines. We also vary the neutrino vs. the anti-neutrino running time for the beam, and study its impact on the physics goals of the experiment. We find that for the determination of CP violation, 540 km baseline with 7 years of neutrino and 3 years of anti-neutrino (7nu+3nubar) run-plan performs the best and one expects a 4sigma sensitivity to CP violation for 59% of true values of deltaCP. The projected reach for the 200 km baseline with 7nu+3nubar run-plan is somewhat worse with 4sigma sensitivity for 51% of true values of deltaCP. On the other hand, for the discovery of a...
THERMOPHORESIS AND ITS THERMAL PARAMETERS FOR AEROSOL COLLECTION
Huang, Z.; Apte, M.; Gundel, L.
2007-01-01T23:59:59.000Z
The particle collection effi ciency of a prototype environmental tobacco smoke (ETS) sampler based on the use of thermophoresis is determined by optimizing the operational voltage that determines its thermal gradient. This sampler’s heating element was made of three sets of thermophoretic (TP) wires 25?m in diameter suspended across a channel cut in a printed circuit board and mounted with collection surfaces on both sides. The separation between the heating element and the room temperature collection surface was determined in a numerical simulation based on the Brock-Talbot model. Other thermal parameters of this TP ETS sampler were predicted by the Brock-Talbot model for TP deposition. From the normalized results the optimal collection ratio was expressed in terms of operational voltage and fi lter mass. Prior to the Brock-Talbot model simulation for this sampler, 1.0V was used arbitrarily. The operational voltage was raised to 3.0V, and the collection effi ciency was increased by a factor of fi ve for both theory and experiment.
Thermophoresis and Its Thermal Parameters for Aerosol Collection
Huang, Z.; Apte, Michael; Gundel, Lara
2007-08-01T23:59:59.000Z
The particle collection efficiency of a prototype environmental tobacco smoke (ETS) sampler based on the use of thermophoresis is determined by optimizing the operational voltage that determines its thermal gradient. This sampler's heating element was made of three sets of thermophoretic (TP) wires 25mu m in diameter suspended across a channel cut in a printed circuit board and mounted with collection surfaces on both sides. The separation between the heating element and the room temperature collection surface was determined in a numerical simulation based on the Brock-Talbot model. Other thermal parameters of this TP ETS sampler were predicted by the Brock-Talbot model for TP deposition. From the normalized results the optimal collection ratio was expressed in terms of operational voltage and fi lter mass. Prior to the Brock-Talbot model simulation for this sampler, 1.0V was used arbitrarily. The operational voltage was raised to 3.0V, and the collection effi ciency was increased by a factor of fi ve for both theory and experiment.
Design Parameters of a Miniaturized Piezoelectric Underwater Acoustic Transmitter
Li, Huidong; Deng, Zhiqun; Yuan, Yong; Carlson, Thomas J.
2012-07-02T23:59:59.000Z
The Juvenile Salmon Acoustic Telemetry System (JSATS) project supported by the U.S. Army Corps of Engineers, Portland District, has yielded the smallest acoustic fish tag transmitter commercially available to date. In order to study even smaller fish populations and make the transmitter injectable by needles, the JSATS acoustic micro transmitter needs to be further downsized. As part of the transmitter downsizing effort some of the design parameters of the lead zirconate titanate (PZT) ceramic tube transducer in the transmitter were studied, including the type of PZT, the backing material, the necessary drive voltage, the transmitting bandwidth and the length of the transducer. It was found that, to satisfy the 156-dB source level requirement of JSATS, a square wave with a 10-volt amplitude is required to drive 'soft' PZT transducers. PZT-5H demonstrated the best source level performance. For Navy types I and II, 16 volts or 18 volts were needed. Ethylene-propylene-diene monomer (EPDM) closed-cell foam was found to be the backing material providing the highest source level. The effect of tube length on the source level is also demonstrated in this paper, providing quantitative information for downsizing of small piezoelectric transmitters.
An analysis of parameters affecting slapdown of transportation packages
Bergmann, V.L.; Ammerman, D.J.
1991-06-01T23:59:59.000Z
In the certification of packages for transport of radioactive material, the issue of slapdown must be addressed. Slapdown is a secondary impact of the body caused by rotational accelerations induced during eccentric primary impact. In this report, several parameters are evaluated that affect slapdown severity of packages for the transport of nuclear material. The nose and tail accelerations in a slapdown event are compared to those experienced by the same cask in a side-drop configuration, in which there is no rotation, for a range of initial impact angles, impact limiter models, and friction coefficients for two existing cask geometries. In some cases, the rotation induced during a shallow-angle impact is sufficient to cause accelerations at the tail during secondary impact to be greater than those at the nose during initial impact. Furthermore, both nose and tail accelerations are often greater than the side-on accelerations. The results described here have been calculated using the code SLAPDOWN, which approximates the impact response of deformable bodies. Finally, SLAPDOWN has been used to estimate the coefficient of friction acting at the nose and tail for one particular cask during one specific slapdown drop test by comparison of results with experimental data. 2 refs., 16 figs., 3 tabs.
Recommended environmental dose calculation methods and Hanford-specific parameters
Schreckhise, R.G.; Rhoads, K.; Napier, B.A.; Ramsdell, J.V. (Pacific Northwest Lab., Richland, WA (United States)); Davis, J.S. (Westinghouse Hanford Co., Richland, WA (United States))
1993-03-01T23:59:59.000Z
This document was developed to support the Hanford Environmental Dose overview Panel (HEDOP). The Panel is responsible for reviewing all assessments of potential doses received by humans and other biota resulting from the actual or possible environmental releases of radioactive and other hazardous materials from facilities and/or operations belonging to the US Department of Energy on the Hanford Site in south-central Washington. This document serves as a guide to be used for developing estimates of potential radiation doses, or other measures of risk or health impacts, to people and other biota in the environs on and around the Hanford Site. It provides information to develop technically sound estimates of exposure (i.e., potential or actual) to humans or other biotic receptors that could result from the environmental transport of potentially harmful materials that have been, or could be, released from Hanford operations or facilities. Parameter values and information that are specific to the Hanford environs as well as other supporting material are included in this document.
Listening to the noise: random fluctuations reveal gene network parameters
Munsky, Brian [Los Alamos National Laboratory; Khammash, Mustafa [UCSB
2009-01-01T23:59:59.000Z
The cellular environment is abuzz with noise. The origin of this noise is attributed to the inherent random motion of reacting molecules that take part in gene expression and post expression interactions. In this noisy environment, clonal populations of cells exhibit cell-to-cell variability that frequently manifests as significant phenotypic differences within the cellular population. The stochastic fluctuations in cellular constituents induced by noise can be measured and their statistics quantified. We show that these random fluctuations carry within them valuable information about the underlying genetic network. Far from being a nuisance, the ever-present cellular noise acts as a rich source of excitation that, when processed through a gene network, carries its distinctive fingerprint that encodes a wealth of information about that network. We demonstrate that in some cases the analysis of these random fluctuations enables the full identification of network parameters, including those that may otherwise be difficult to measure. This establishes a potentially powerful approach for the identification of gene networks and offers a new window into the workings of these networks.
Irradiation Experiment Conceptual Design Parameters for NBSR Fuel Conversion
Brown, N. R.; Brown, N. R.; Baek, J. S; Hanson, A. L.; Cuadra, A.; Cheng, L. Y.; Diamond, D. J.
2014-04-30T23:59:59.000Z
It has been proposed to convert the National Institute of Standards and Technology (NIST) research reactor, known as the NBSR, from high-enriched uranium (HEU) fuel to low-Enriched uranium (LEU) fuel. The motivation to convert the NBSR to LEU fuel is to reduce the risk of proliferation of special nuclear material. This report is a compilation of relevant information from recent studies related to the proposed conversion using a metal alloy of LEU with 10 w/o molybdenum. The objective is to inform the design of the mini-plate and full-size-Plate irradiation experiments that are being planned. This report provides relevant dimensions of the fuel elements, and the following parameters at steady state: average and maximum fission rate density and fission density, fuel temperature distribution for the plate with maximum local temperature, and two-dimensional heat flux profiles of fuel plates with high power densities. The latter profiles are given for plates in both the inner and outer core zones and for cores with both fresh and depleted shim arms (reactivity control devices). A summary of the methodology to obtain these results is presented. Fuel element tolerance assumptions and hot channel factors used in the safety analysis are also given.
Irradiation Experiment Conceptual Design Parameters for NBSR Fuel Conversion
Brown N. R.; Brown,N.R.; Baek,J.S; Hanson, A.L.; Cuadra,A.; Cheng,L.Y.; Diamond, D.J.
2013-03-31T23:59:59.000Z
It has been proposed to convert the National Institute of Standards and Technology (NIST) research reactor, known as the NBSR, from high-enriched uranium (HEU) fuel to low-enriched uranium (LEU) fuel. The motivation to convert the NBSR to LEU fuel is to reduce the risk of proliferation of special nuclear material. This report is a compilation of relevant information from recent studies related to the proposed conversion using a metal alloy of LEU with 10 w/o molybdenum. The objective is to inform the design of the mini-plate and full-size plate irradiation experiments that are being planned. This report provides relevant dimensions of the fuel elements, and the following parameters at steady state: average and maximum fission rate density and fission density, fuel temperature distribution for the plate with maximum local temperature, and two-dimensional heat flux profiles of fuel plates with high power densities. . The latter profiles are given for plates in both the inner and outer core zones and for cores with both fresh and depleted shim arms (reactivity control devices). In addition, a summary of the methodology to obtain these results is presented.
MONITORING OF GAS TURBINE OPERATING PARAMETERS USING ACOUSTIC EMISSION
R M Douglas; S Beugné; M D Jenkins; A K Frances; J A Steel; R L Reuben; P A Kew
In this work, Acoustic Emission (AE) sensors were mounted on several parts of a laboratory-scale gas turbine operating under various conditions, the object being to assess the value of AE for inservice condition monitoring. The turbine unit comprised a gas generator (compressor and turbine on a common shaft) and a free-power turbine for power extraction. AE was acquired from several sensor positions on the external surfaces of the equipment over a range of gas generator running speeds. Relationships between parameters derived from the acquired AE signals and the running conditions are discussed. It is shown that the compressor impeller blade passing frequency is discernible in the AE record, allowing shaft speed to be obtained, and presenting a significant blade monitoring opportunity. Further studies permit a trend to be established between the energy contained in the AE signal and the turbine running speed. In order to study the effects of damaged rotor blades a fault was simulated in opposing blades of the free-power turbine and run again under the previous conditions. Also, the effect of an additional AE source, occurring due to abnormal operation in the gas generator area (likely rubbing), is shown to produce deviations from that expected during normal operation. The findings suggest that many aspects of the machine condition can be monitored.
FCC-ee accelerator parameters, performance and limitations
Koratzinos, M
2014-01-01T23:59:59.000Z
CERN has recently launched the Future Circular Collider (FCC) study to deal with all aspects of an ambitious post-LHC possible programme. The emphasis of the study is on a 100 TeV proton collider to be housed in a 80-100 km new ring in the Geneva region. An electron machine will also be considered as a possible intermediate first step (FCC-ee). The study benefits from earlier work done in the context of TLEP and has already published a parameter table, to serve as the basis for the work to be done. The study aims to publish a conceptual design report at around 2018. The recent discovery of a light Higgs boson has opened up considerable interest in circular e+e- Higgs factories around the world. FCC-ee is capable of very high luminosities in a wide centre-of-mass (ECM) spectrum from 90 to 350 GeV. This allows the very precise study of the Z, W and H bosons as well as the top quark, allowing for meaningful precision tests of the closure of the Standard Model.
Limited Model Information Control Design for Linear Discrete-Time Systems with Stochastic Parameters
Johansson, Karl Henrik
Limited Model Information Control Design for Linear Discrete-Time Systems with Stochastic systems with stochastically varying parameters. Recently, there have been studies in optimal control subsystems' parameters. There have been many studies in optimal control design for linear discrete
Efficient Characterization of Uncertain Model Parameters with a Reduced-Order Ensemble Kalman Filter
Lin, Binghuai
Spatially variable model parameters are often highly uncertain and difficult to observe. This has prompted the widespread use of Bayesian characterization methods that can infer parameter values from measurements of related ...
Efficient characterization of uncertain model parameters with a reduced-order ensemble Kalman filter
Lin, Binghuai
2013-01-01T23:59:59.000Z
Spatially variable model parameters are often highly uncertain and di fficult to observe. This has prompted the widespread use of Bayesian characterization methods that can infer parameter values from measurements of related ...
Determination of useful performance parameters for the ALR8(SI) plutonium pit container system
Pierce, Mark Alan
2000-01-01T23:59:59.000Z
A thorough list of potentially useful performance parameters is generated, and a systematic method is designed to assess which parameters will provide the most significant or useful information about the long-term performance of the ALR8(SI...
Direct Reservoir Parameter Estimation Using Joint Inversion of Marine Seismic AVA & CSEM Data
2005-01-01T23:59:59.000Z
estimation of reservoir parameters from geophysical data isthe seismic data fit at times below the reservoir. InversionReservoir Parameter Estimation Using Joint Inversion of Marine Seismic AVA & CSEM Data
M. R. Templeton; S. Basu; P. Demarque
2001-08-29T23:59:59.000Z
We assess the potential of asteroseismology for determining the fundamental properties of individual $\\delta$ Scuti stars. We computed a grid of evolution and adiabatic pulsation models using the Yale Rotating Evolution Code to study the systematic changes in low-order ($\\ell = 0, 1, 2,$ and 3) modes as functions of fundamental stellar properties. Changes to the stellar mass, chemical composition, and convective core overshooting length change the observable pulsation spectrum significantly. In general, mass has the strongest effect on evolution and on pulsation, followed by the metal abundance. Changes to the helium content have very little effect on the frequencies until near the end of the main sequence. Changes to each of the four parameters change the $p$-mode frequencies more, both in absolute and relative terms, than they do the $g$- and mixed-mode frequencies, suggesting that these parameters have a greater effect on the outer layers of the star. We also present evolution and pulsation models of the well-studied star FG Virginis, outlining a possible method of locating favorable models in the stellar parameter space based upon a definitive identification of only two modes. Specifically, we plot evolution models on the (period-period ratio) and (temperature-period ratio) planes to select candidate models, and modify the core overshooting parameter to fit the observed star. For these tests, we adjusted only the mass, helium and metal abundances, and core overshooting parameter, but this method can be extended to include the effects of first-order rotational splitting and second-order rotational distortion of pulsation spectra.
Information Content of Data for Identifying Soil Hydraulic Parameters from Outflow Experiments
Vrugt, Jasper A.
quantities, such as parameters. Often, first reported by Zachmann (1981). Kool et al. (1985a,b)these model
The effects of deformation parameter on thermal witdth of moving quarqonia in plasma
J. Sadeghi; S. Tahery
2014-12-30T23:59:59.000Z
In general we can say that the thermal width of quarqonia corresponds to imaginary part of potential. The gravity dual of theories give explicit form of potential as $V_{Q\\bar{Q}}$. The Variable gravity dual's backgrounds of moving pair in plasma have different results for potential. Our paper shows that the first order deformation parameter $c$ in warp factor lead us to take new results. We compare our results to case of no deformation parameter is in metric background. We will find out altough in a deformed AdS meson is not visible in some regions of bulk, but thermal width is similar to the case that dipole is in $AdS_{5}$. Also, we note here in a deformed AdS, meson feels moving plasma in all values of velocity.
On jet quenching parameters in strongly coupled non-conformal gauge theories
Alex Buchel
2006-08-02T23:59:59.000Z
Recently Liu, Rajagopal and Wiedemann (LRW) [hep-ph/0605178] proposed a first principle, nonperturbative quantum field theoretic definition of ``jet quenching parameter'' \\hat{q} used in models of medium-induced radiative parton energy loss in nucleus-nucleus collisions at RHIC. Relating \\hat{q} to a short-distance behavior of a certain light-like Wilson loop, they used gauge theory-string theory correspondence to evaluate \\hat{q} for the strongly coupled N=4 SU(N_c) gauge theory plasma. We generalize analysis of LRW to strongly coupled non-conformal gauge theory plasma. We find that a jet quenching parameter is gauge theory specific (not universal). Furthermore, it appears it's value increases as the number of effective adjoint degrees of freedom of a gauge theory plasma increases.
Surface Albedo/BRDF Parameters (Terra/Aqua MODIS)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Trishchenko, Alexander
Spatially and temporally complete surface spectral albedo/BRDF products over the ARM SGP area were generated using data from two Moderate Resolution Imaging Spectroradiometer (MODIS) sensors on Terra and Aqua satellites. A landcover-based fitting (LBF) algorithm is developed to derive the BRDF model parameters and albedo product (Luo et al., 2004a). The approach employs a landcover map and multi-day clearsky composites of directional surface reflectance. The landcover map is derived from the Landsat TM 30-meter data set (Trishchenko et al., 2004a), and the surface reflectances are from MODIS 500m-resolution 8-day composite products (MOD09/MYD09). The MOD09/MYD09 data are re-arranged into 10-day intervals for compatibility with other satellite products, such as those from the NOVA/AVHRR and SPOT/VGT sensors. The LBF method increases the success rate of the BRDF fitting process and enables more accurate monitoring of surface temporal changes during periods of rapid spring vegetation green-up and autumn leaf-fall, as well as changes due to agricultural practices and snowcover variations (Luo et al., 2004b, Trishchenko et al., 2004b). Albedo/BRDF products for MODIS on Terra and MODIS on Aqua, as well as for Terra/Aqua combined dataset, are generated at 500m spatial resolution and every 10-day since March 2000 (Terra) and July 2002 (Aqua and combined), respectively. The purpose for the latter product is to obtain a more comprehensive dataset that takes advantages of multi-sensor observations (Trishchenko et al., 2002). To fill data gaps due to cloud presence, various interpolation procedures are applied based on a multi-year observation database and referring to results from other locations with similar landcover property. Special seasonal smoothing procedure is also applied to further remove outliers and artifacts in data series.
Probing Neutrino Oscillation Parameters using High Power Superbeam from ESS
Sanjib Kumar Agarwalla; Sandhya Choubey; Suprabh Prakash
2015-01-04T23:59:59.000Z
A high-power neutrino superbeam experiment at the ESS facility has been proposed such that the source-detector distance falls at the second oscillation maximum, giving very good sensitivity towards establishing CP violation. In this work, we explore the comparative physics reach of the experiment in terms of leptonic CP-violation, precision on atmospheric parameters, non-maximal theta23, and its octant for a variety of choices for the baselines. We also vary the neutrino vs. the anti-neutrino running time for the beam, and study its impact on the physics goals of the experiment. We find that for the determination of CP violation, 540 km baseline with 7 years of neutrino and 3 years of anti-neutrino (7nu+3nubar) run-plan performs the best and one expects a 5sigma sensitivity to CP violation for 48% of true values of deltaCP. The projected reach for the 200 km baseline with 7nu+3nubar run-plan is somewhat worse with 5sigma sensitivity for 34% of true values of deltaCP. On the other hand, for the discovery of a non-maximal theta23 and its octant, the 200 km baseline option with 7nu+3nubar run-plan performs significantly better than the other baselines. A 5sigma determination of a non-maximal theta23 can be made if the true value of sin^2theta23 lesssim 0.45 or sin^2theta23 gtrsim 0.57. The octant of theta23 could be resolved at 5sigma if the true value of sin^2theta23 lesssim 0.43 or gtrsim 0.59, irrespective of deltaCP.
Calibration of Parameters for a Single Hardening Model Amit Prashant and Dayakar Penumadu
Prashant, Amit
Calibration of Parameters for a Single Hardening Model Amit Prashant and Dayakar Penumadu ASCE by Lade and co-workers) is calibrated using 12 model parameters, which can be determined from one, the process of calibrating these parameters is relatively complex. In this paper, the authors have calibrated
Estimating home energy decision parameters for a hybrid energyYeconomy policy model
Estimating home energy decision parameters for a hybrid energyYeconomy policy model Mark Jaccard, Canada E-mail: jaccard@sfu.ca Hybrid energyYeconomy models combine the advantages of a technologically parameters translate into the behavioral parameters of a hybrid model. We then simulate household energy
Implementation and Evaluation of an On-Demand Parameter-Passing Strategy for Reducing Energy
Zhang, Wei
Implementation and Evaluation of an On-Demand Parameter-Passing Strategy for Reducing Energy M Abstract In this paper, we present an energy-aware parameter- passing strategy called on-demand parameter UMIST Manchester M60 1QD, UK W.Zhang CSE Department Penn State University University Park, PA, 16802
Exploiting the Impact of Database System Configuration Parameters: A Design of Experiments Approach
Minnesota, University of
in determining DBMS performance. However, the number of configuration parameters in a DBMS is very large may have no or marginal effects on the DBMS performance for the given query workload. Database of input parameters. Second, we exploit the estimated effects to: 1) rank DBMS configuration parameters
Local Sequential Ensemble Kalman Filter for Simultaneously Tracking States and Parameters
Welch, Greg
and operation of a power system. To improve the estimation accuracy of states and parameters, this paper applies and parameters using phasor-measurement-unit (PMU) data. Based on simulation studies using multi-machine systems in power systems. Accurate information about states (e.g., rotor speeds, angles) and parameters
ASYMPTOTIC DISTRIBUTION OF ESTIMATES FOR A TIME-VARYING PARAMETER IN A HARMONIC MODEL
Irizarry, Rafael A.
ASYMPTOTIC DISTRIBUTION OF ESTIMATES FOR A TIME-VARYING PARAMETER IN A HARMONIC MODEL WITH MULTIPLE harmonic regression models are useful for cases where harmonic parameters appear to be time-varying. Least, harmonic regression, signal processing, sound analysis, time-varying parameters, weighted least squares
Parameter sensitivity of plasma wakefields driven by self-modulating proton beams
Lotov, K. V.; Minakov, V. A.; Sosedkin, A. P. [Budker Institute of Nuclear Physics SB RAS, 630090 Novosibirsk, Russia and Novosibirsk State University, 630090 Novosibirsk (Russian Federation)
2014-08-15T23:59:59.000Z
The dependence of wakefield amplitude and phase on beam and plasma parameters is studied in the parameter area of interest for self-modulating proton beam-driven plasma wakefield acceleration. The wakefield phase is shown to be extremely sensitive to small variations of the plasma density, while sensitivity to small variations of other parameters is reasonably low. The study of large parameter variations clarifies the effects that limit the achievable accelerating field in different parts of the parameter space: nonlinear elongation of the wakefield period, insufficient charge of the drive beam, emittance-driven beam divergence, and motion of plasma ions.
Diffusive parameters of tritiated water and uranium in chalk
Descostes, M. [CEA, DEN/DANS/DPC/SECR/Laboratory of Radionuclides Migration Measurements and Modelling, F-91191 Gif-sur-Yvette, (France); UMR 8587 CEA, Universite d'Evry, CNRS, (France); Pili, E. [CEA, DAM, DIF, F-91297 Arpajon, (France); Institut de Physique du Globe, Sorbonne Paris Cite, 1 rue Jussieu, 75238 Paris cedex 05, (France); Felix, O.; Frasca, B.; Radwan, J.; Juery, A. [CEA, DEN/DANS/DPC/SECR/Laboratory of Radionuclides Migration Measurements and Modelling, F-91191 Gif-sur-Yvette, (France)
2012-07-15T23:59:59.000Z
The Cretaceous Chalk of North-western Europe exhibits a double porosity (matrix and fracture) providing pathways for both slow and rapid flow of water. The present study aims at understanding and predicting the contaminant transfer properties through a significant section of this formation, with a particular emphasis on diffusion. This requires to study the nature of porosity and to perform diffusion experiments in representative samples using uranium and tritiated water (HTO), respectively taken as a reactive tracer and an inert one. The diffusive parameters, i.e. the accessible porosity and the effective diffusion coefficient were determined. Additional information was obtained with mercury porosimetry, gravimetric water content, textural and mineralogical characterization. The diffusion tests performed with HTO appear to be the best method to measure the total accessible porosity in any type of porous media, especially those having large pore size distributions. Our study demonstrates that classical gravimetric water content measurements are not sensitive to the reduction in pore size as opposed to HTO diffusion tests because capillary water is not extracted by conventional gravimetric method but can still be probed by diffusion experiments. We found effective diffusion coefficients D{sub e}(U(VI)) near 4 x 10{sup -10} m{sup 2}s{sup -1}). The slower migration of U(VI) compared to HTO indicates sorption, with R{sub d}(U(VI)) from 100 to 360 mL g{sup -1}. These values are one order of magnitude larger than other determinations of the U(VI) sorption coefficient because only the matrix porosity is concerned here. The migration of U(VI) in chalk is only limited by sorption on ancillary Fe-Pb-bearing minerals. Transport of HTO and U(VI) is independent of the porosity distribution. Uranium diffusion in the chalk matrix porosity is fast enough to allow the total invasion of the pore space within characteristic time scales of the order of 1000 years. This results in a partitioning of uranium velocities in fracture flow and matrix flow proportionally to the respective fracture and matrix porosities. (authors)
An iterative stochastic ensemble method for parameter estimation of subsurface flow models
Elsheikh, Ahmed H., E-mail: aelsheikh@ices.utexas.edu [Center for Subsurface Modeling (CSM), Institute for Computational Engineering and Sciences (ICES), University of Texas at Austin, TX (United States); Dept. of Earth Sciences and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal (Saudi Arabia); Dept. of Applied Mathematics and Computational Sciences, King Abdullah University of Science and Technology (KAUST), Thuwal (Saudi Arabia); Wheeler, Mary F. [Center for Subsurface Modeling (CSM), Institute for Computational Engineering and Sciences (ICES), University of Texas at Austin, TX (United States)] [Center for Subsurface Modeling (CSM), Institute for Computational Engineering and Sciences (ICES), University of Texas at Austin, TX (United States); Hoteit, Ibrahim [Dept. of Earth Sciences and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal (Saudi Arabia) [Dept. of Earth Sciences and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal (Saudi Arabia); Dept. of Applied Mathematics and Computational Sciences, King Abdullah University of Science and Technology (KAUST), Thuwal (Saudi Arabia)
2013-06-01T23:59:59.000Z
Parameter estimation for subsurface flow models is an essential step for maximizing the value of numerical simulations for future prediction and the development of effective control strategies. We propose the iterative stochastic ensemble method (ISEM) as a general method for parameter estimation based on stochastic estimation of gradients using an ensemble of directional derivatives. ISEM eliminates the need for adjoint coding and deals with the numerical simulator as a blackbox. The proposed method employs directional derivatives within a Gauss–Newton iteration. The update equation in ISEM resembles the update step in ensemble Kalman filter, however the inverse of the output covariance matrix in ISEM is regularized using standard truncated singular value decomposition or Tikhonov regularization. We also investigate the performance of a set of shrinkage based covariance estimators within ISEM. The proposed method is successfully applied on several nonlinear parameter estimation problems for subsurface flow models. The efficiency of the proposed algorithm is demonstrated by the small size of utilized ensembles and in terms of error convergence rates.
Determination of the relativistic parameter gamma using very long baseline interferometry
S. B. Lambert; C. Le Poncin-Lafitte
2009-03-09T23:59:59.000Z
Relativistic bending in the vicinity of a massive body is characterized only by the post-Newtonian parameter $\\gamma$ within the standard parameterized post-Newtonian formalism, which is unity in General Relativity. Aiming at estimating this parameter, we use very long baseline interferometry (VLBI) to measure the gravitational deflection of radio waves emitted by distant compact radio sources, by Solar System bodies. We analyze geodetic VLBI observations recorded since 1979. We compare estimates of $\\gamma$ and errors obtained using various analysis schemes including global estimations over several time spans and with various Sun elongation cut-off angles, and analysis of radio source coordinate time series. We arrive at the conclusion that the relativistic parameter $\\gamma$ cannot be estimated at better than $2\\times10^{-4}$. The main factor of limitation is the uncertainty in the determination of (global or session-wise) radio source coordinates. A sum of various instrumental and modeling errors and analysis strategy defects, that cannot be decorrelated and corrected yet, is at the origin of the limitating noise.
Nair, Remya; Tanaka, Takahiro
2015-01-01T23:59:59.000Z
We study the advantage of the co-existence of future ground and space based gravitational wave detectors, in estimating the parameters of a binary coalescence. Using the post-Newtonian waveform for the inspiral of non-spinning neutron star-black hole pairs in circular orbits, we study how the estimates for chirp mass, symmetric mass ratio, and time and phase at coalescence are improved by combining the data from different space-ground detector pairs. Since the gravitational waves produced by binary coalescence also provide a suitable domain where we can study strong field gravity, we also study the deviations from general relativity using the parameterized post-Einsteinian framework. As an example, focusing on the Einstein telescope and DECIGO pair, we demonstrate that there exists a sweet spot range of sensitivity in the pre-DECIGO phase where the best enhancement due to the synergy effect can be obtained for the estimates of the post-Newtonian waveform parameters as well as the modification parameters to ge...
Gravity as a constrained BF theory: Noether charges and Immirzi parameter
Durka, R.; Kowalski-Glikman, J. [Institute for Theoretical Physics, University of Wroclaw, Pl. Maxa Borna 9, Pl-50-204 Wroclaw (Poland)
2011-06-15T23:59:59.000Z
We derive and analyze Noether charges associated with the diffeomorphism invariance for the constrained SO(2,3) BF theory. This result generalizes the Wald approach to the case of the first order gravity with a negative cosmological constant, the Holst modification, and topological terms (Nieh-Yan, Euler, and Pontryagin). We show that differentiability of the action is automatically implemented by the structure of the constrained BF model. Finally, we calculate the AdS-Schwarzschild black hole entropy from the Noether charge and we find that it does not depend on the Immirzi parameter.
Chen, H.W. (Los Alamos National Lab., NM (United States). Biophysics Group M715)
1995-01-01T23:59:59.000Z
Structural classification and parameter estimation (SCPE) methods are used for studying single-input single-output (SISO) parallel linear-nonlinear-linear (LNL), linear-nonlinear (LN), and nonlinear-linear (NL) system models from input-output (I-O) measurements. The uniqueness of the I-O mappings (see the definition of the I-O mapping in Section 3-A) of some model structures is discussed. The uniqueness of the I-O mappings (see the definition of the I-O mapping in Section 3-A) of some model structures is discussed. The uniqueness of I-O mappings of different models tells them in what conditions different model structures can be differentiated from one another. Parameter uniqueness of the I-O mapping of a given structural model is also discussed, which tells the authors in what conditions a given model's parameters can be uniquely estimated from I-O measurements. These methods are then generalized so that they can be used to study single-input multi-output (SIMO), multi-input single-output (MISO), as well as multi-input multi-output (MIMO) nonlinear system models. Parameter estimation of the two-input single-output nonlinear system model (denoted as the 2f-structure in 2 cited references), which was left unsolved previously, can now be obtained using the newly derived algorithms. Applications of SCPE methods for modeling visual cortical neurons, system fault detection, modeling and identification of communication networks, biological systems, and natural and artificial neural networks are also discussed. The feasibility of these methods is demonstrated using simulated examples. SCPE methods presented in this paper can be further developed to study more complicated block-structures models, and will therefore have future potential for modeling and identifying highly complex multi-input multi-output nonlinear systems.
Fermions in the Ashtekar-Barbero connection formalism for arbitrary values of the Immirzi parameter
Mercuri, Simone [Dipartimento di Fisica, Universita di Roma 'La Sapienza', Piazzale Aldo Moro 5, I-00185, Rome (Italy); ICRA-International Center for Relativistic Astrophysics (Italy)
2006-04-15T23:59:59.000Z
The Ashtekar-Barbero-Immirzi formulation of general relativity is extended to include spinor matter fields. Our formulation applies to generic values of the Immirzi parameter and reduces to the Ashtekar-Romano-Tate approach when the Immirzi parameter is taken equal to the imaginary unit. The dynamics of the gravity-fermions coupled system is described by the Holst plus Dirac action with a nonminimal coupling term. The nonminimal interaction together with the Holst modification to the Hilbert-Palatini action reconstruct the Nieh-Yan invariant, so that the effective action coming out is the one of Einstein-Cartan theory with a typical Fermi-like interaction term: in spite of the presence of spinor matter fields, the Immirzi parameter plays no role in the classical effective dynamics and results to be only a multiplicative factor in front of a total divergence. We reduce the total action of the theory to the sum of dynamically independent Ashtekar-Romano-Tate actions for self and anti-self-dual connections, with different weights depending on the Immirzi parameter. This allows to calculate the constraints of the complete theory in a simple way, it is only necessary to realize that the Barbero-Immirzi connection is a weighted sum of the self and anti-self-dual Ashtekar connections. Finally the obtained constraints for the separated action result to be polynomial in terms of the self and anti-self-dual connections, this could have implications in the inclusion of spinor matter in the framework of nonperturbative quantum gravity.
Test models for improving filtering with model errors through stochastic parameter estimation
Gershgorin, B. [Department of Mathematics and Center for Atmosphere and Ocean Science, Courant Institute of Mathematical Sciences, New York University, NY 10012 (United States); Harlim, J. [Department of Mathematics, North Carolina State University, NC 27695 (United States)], E-mail: jharlim@ncsu.edu; Majda, A.J. [Department of Mathematics and Center for Atmosphere and Ocean Science, Courant Institute of Mathematical Sciences, New York University, NY 10012 (United States)
2010-01-01T23:59:59.000Z
The filtering skill for turbulent signals from nature is often limited by model errors created by utilizing an imperfect model for filtering. Updating the parameters in the imperfect model through stochastic parameter estimation is one way to increase filtering skill and model performance. Here a suite of stringent test models for filtering with stochastic parameter estimation is developed based on the Stochastic Parameterization Extended Kalman Filter (SPEKF). These new SPEKF-algorithms systematically correct both multiplicative and additive biases and involve exact formulas for propagating the mean and covariance including the parameters in the test model. A comprehensive study is presented of robust parameter regimes for increasing filtering skill through stochastic parameter estimation for turbulent signals as the observation time and observation noise are varied and even when the forcing is incorrectly specified. The results here provide useful guidelines for filtering turbulent signals in more complex systems with significant model errors.
Coffield, T; Patricia Lee, P
2007-01-31T23:59:59.000Z
The purpose of this report is to update parameters utilized in Human Health Exposure calculations and Bioaccumulation Transfer Factors utilized at SRS for Performance Assessment modeling. The reason for the update is to utilize more recent information issued, validate information currently used and correct minor inconsistencies between modeling efforts performed in SRS contiguous areas of the heavy industrialized central site usage areas called the General Separations Area (GSA). SRS parameters utilized were compared to a number of other DOE facilities and generic national/global references to establish relevance of the parameters selected and/or verify the regional differences of the southeast USA. The parameters selected were specifically chosen to be expected values along with identifying a range for these values versus the overly conservative specification of parameters for estimating an annual dose to the maximum exposed individual (MEI). The end uses are to establish a standardized source for these parameters that is up to date with existing data and maintain it via review of any future issued national references to evaluate the need for changes as new information is released. These reviews are to be added to this document by revision.
Chen, Jinsong
Joint stochastic inversion of geophysical data for reservoir parameter estimation Jinsong Chen the stochastic framework, both reservoir parameters and geophysical attributes at unsampled locations. Introduction Conventional methods for reservoir parameter estimation using multiple sources of geophysical data
Assessing Invariance of Factor Structures and Polytomous Item Response Model Parameter Estimates
Reyes, Jennifer McGee
2012-02-14T23:59:59.000Z
.e., identical items, different people) for the homogenous graded response model (Samejima, 1969) and the partial credit model (Masters, 1982)? To evaluate measurement invariance using IRT methods, the item discrimination and item difficulty parameters... obtained from the GRM need to be equivalent across datasets. The YFCY02 and YFCY03 GRM item discrimination parameters (slope) correlation was 0.828. The YFCY02 and YFCY03 GRM item difficulty parameters (location) correlation was 0...
John Bulava; Philip Gerhold; Karl Jansen; Jim Kallarackal; Attila Nagy
2011-11-11T23:59:59.000Z
We study a chirally invariant Higgs-Yukawa model regulated on a space-time lattice. We calculate Higgs boson resonance parameters and mass bounds for various values of the mass of the degenerate fermion doublet. Also, first results on the phase transition temperature are presented. In general, this model may be relevant for BSM scenarios with a heavy fourth generation of quarks.
A Workflow for Parameter Calibration and and Model Validation in SST: Interim Report.
Pebay, Philippe Pierre; Wilke, Jeremiah J; Sargsyan, Khachik
2014-12-01T23:59:59.000Z
This brief report explains the method used for parameter calibration and model validation in SST/Macro and the set of tools and workflow developed for this purpose.
Szilagyi, Jozsef
boundary conditions Jozsef Szilagyi Conservation and Survey Division, University of Nebraska analysis Citation: Szilagyi, J., Sensitivity analysis of aquifer parameter estimations based on the Laplace
Conditional risk in volatility models Risk parameter in volatility models
Jeanjean, Louis
are of the form t = tt where (t) is iid, t > 0, t and t are independent. For GARCH-type (Generalized (GARCH), 2009) for an impressive list of more than one hundred GARCH-type models. Francq, Zakoian Risk Examples Standard GARCH(p,q) (Engle (82), Bollerslev (86)): 2 t = 0 + q i=1 0i 2 t-i + p j=1 0j2 t
Chen, Jinsong; Dickens, Thomas
2008-01-01T23:59:59.000Z
of reservoir parameters from geophysical data. TraditionalCSEM data, which are functions of reservoir resistivity rreservoir parameters from seismic AVA and CSEM data. In
Remarks on the Barbero-Immirzi parameter as a field
Torres-Gomez, Alexander; Krasnov, Kirill [School of Mathematical Sciences, University of Nottingham, Nottingham, NG7 2RD (United Kingdom)
2009-05-15T23:59:59.000Z
We revisit a propagating torsion gravity theory obtained by introducing a field coupled to the Holst term in the first-order Einstein-Cartan action. The resulting theory has second-order field equations, no adjustable coupling constants, and one more propagating degree of freedom as compared to general relativity. When no fermions are present the theory is known to be equivalent to that of a single massless scalar field canonically coupled to gravity. We extend this result to the case with fermions and obtain an effective interaction between the scalar field and the fermionic currents. We also describe a version of the theory with a potential for the scalar field and discuss whether it can be interpreted as the inflaton.
A Bayesian Approach for Parameter Estimation and Prediction using a Computationally Intensive Model
Dave Higdon; Jordan D. McDonnell; Nicolas Schunck; Jason Sarich; Stefan M. Wild
2014-09-17T23:59:59.000Z
Bayesian methods have been very successful in quantifying uncertainty in physics-based problems in parameter estimation and prediction. In these cases, physical measurements y are modeled as the best fit of a physics-based model $\\eta(\\theta)$ where $\\theta$ denotes the uncertain, best input setting. Hence the statistical model is of the form $y = \\eta(\\theta) + \\epsilon$, where $\\epsilon$ accounts for measurement, and possibly other error sources. When non-linearity is present in $\\eta(\\cdot)$, the resulting posterior distribution for the unknown parameters in the Bayesian formulation is typically complex and non-standard, requiring computationally demanding computational approaches such as Markov chain Monte Carlo (MCMC) to produce multivariate draws from the posterior. While quite generally applicable, MCMC requires thousands, or even millions of evaluations of the physics model $\\eta(\\cdot)$. This is problematic if the model takes hours or days to evaluate. To overcome this computational bottleneck, we present an approach adapted from Bayesian model calibration. This approach combines output from an ensemble of computational model runs with physical measurements, within a statistical formulation, to carry out inference. A key component of this approach is a statistical response surface, or emulator, estimated from the ensemble of model runs. We demonstrate this approach with a case study in estimating parameters for a density functional theory (DFT) model, using experimental mass/binding energy measurements from a collection of atomic nuclei. We also demonstrate how this approach produces uncertainties in predictions for recent mass measurements obtained at Argonne National Laboratory (ANL).
Feihu Xu; He Xu; Hoi-Kwong Lo
2014-06-01T23:59:59.000Z
Measurement-device-independent quantum key distribution (MDI-QKD) has been demonstrated in both laboratories and field-tests using attenuated lasers combined with the decoy-state technique. Although researchers have studied various decoy-state MDI-QKD protocols with two or three decoy states, a clear comparison between these protocols is still missing. This invokes the question of how many types of decoy states are needed for practical MDI-QKD. Moreover, the system parameters to implement decoy-state MDI-QKD are only partially optimized in all previous works, which casts doubt on the actual performance of former demonstrations. Here, we present analytical and numerical decoy-state methods with one, two and three decoy states. We provide a clear comparison among these methods and find that two decoy states already enable a near optimal estimation and more decoy states cannot improve the key rate much in either asymptotic or finite-data settings. Furthermore, we perform a full optimization of system parameters and show that full optimization can significantly improve the key rate in the finite-data setting. By simulating a real experiment, we find that full optimization can increase the key rate by more than one order of magnitude compared to non-optimization. A local search method to optimize efficiently the system parameters is proposed. This method can be four orders of magnitude faster than a trivial exhaustive search to achieve a similar optimal key rate. We expect that this local search method could be valuable for general fields in physics.
Cosmological parameters from observational data on the large scale structure of the Universe
B. Novosyadlyj; R. Durrer; S. Apunevych
2000-09-29T23:59:59.000Z
The observational data on the large scale structure (LSS) of the Universe are used to determine cosmological parameters within the class of adiabatic inflationary models. We show that a mixed dark matter model with cosmological constant ($\\Lambda$MDM model) and parameters $\\Omega_m=0.37^{+0.25}_{-0.15}$, $\\Omega_{\\Lambda}=0.69^{+0.15}_{-0.20}$, $\\Omega_{\
Parameter optimization for the Gaussian model of protein foldingq Albert Erkipa
Seok, Chaok
of protein folding and ligand docking are large and complex. Few systematic methods have yet been developed apply this parameter optimization method to the recently developed Gaussian model of protein folding Science Ltd. All rights reserved. Keywords: Gaussian model; Protein folding; Parameter optimization 1
Outline The Ensemble Kalman Filter Parameter estimation Test example Conclusion History matching via
Mosegaard, Klaus
Outline The Ensemble Kalman Filter Parameter estimation Test example Conclusion History matching via Ensemble Kalman Filtering for a synthetic test case Jan Frydendall IMM, CERE jf@imm.dtu.dk Jan Frydendall, CERE and IMM 1 #12;Outline The Ensemble Kalman Filter Parameter estimation Test example
A Model-Based Approach to Synthesizing Insulin Infusion Pump Usage Parameters for Diabetic Patients
Sankaranarayanan, Sriram
A Model-Based Approach to Synthesizing Insulin Infusion Pump Usage Parameters for Diabetic Patients Fainekos Abstract-- We present a model-based approach to synthesiz- ing insulin infusion pump usage parameters against varying meal scenarios and physiological conditions. Insulin infusion pumps are commonly
Study on plasma parameters and dust charging in an electrostatically plugged multicusp plasma device
Kakati, B.; Kausik, S. S.; Saikia, B. K. [Centre of Plasma Physics, Institute for Plasma Research, Nazirakhat, Sonapur-782 402, Kamrup, Assam (India); Bandyopadhyay, M. [ITER-India, Institute for Plasma Research, Bhat, Gandhinagar- 382 428 (India)
2011-06-15T23:59:59.000Z
The effect of the electrostatic confinement potential on the charging of dust grains and its relationship with the plasma parameters has been studied in an electrostatically plugged multicusp dusty plasma device. Electrostatic plugging is implemented by biasing the electrically isolated magnetic multicusp channel walls. The experimental results show that voltage applied to the channel walls can be a controlling parameter for dust charging.
EFFECTS OF SYSTEM PARAMETERS ON THE OPTIMAL POLICY STRUCTURE IN A CLASS OF QUEUEING CONTROL PROBLEMS
Örmeci, E. Lerzan
EFFECTS OF SYSTEM PARAMETERS ON THE OPTIMAL POLICY STRUCTURE IN A CLASS OF QUEUEING CONTROL@ku.edu.tr, #12;Effects of System Parameters on the Optimal Policy Structure in a Class of Queueing Control this analysis. Keywords: Control of queueing systems, event-based dynamic programming, structured optimal
Determination of kinetic parameters in laminar flow reactors. I. Theoretical aspects
is the numerical evaluation of kinetic data, obtained from controlled experiments in a flow reactorDetermination of kinetic parameters in laminar flow reactors. I. Theoretical aspects T. Carraro1- mization of chemical flow reactors. The goal is the reliable determination of unknown kinetic parameters
Wavelet-Based Parameter Estimation for Trend Contaminated Fractionally Differenced Processes
Washington at Seattle, University of
Wavelet-Based Parameter Estimation for Trend Contaminated Fractionally Differenced Processes Peter to scientific problems in the environmental and ecological sciences. #12;#12;Wavelet-Based Parameter Estimation of polynomial trend plus FD noise and apply the discrete wavelet transform (DWT) to separate a time series
Plenary Speakers for the Conference on Future Directions in Distributed Parameter Systems
, "Computational Tools for Design and Control of Distributed Parameter Systems" Diona Cioranescu, Universite Pierre reduction for control design for distributed parameter systems" Constantine Dafermos, Brown University and rubber-like elastomers" Ruth Curtain, University of Groningen, "System theoretic insights into model
Integrated Estimation and Tracking of Performance Model Parameters with Autoregressive Trends
Woodside, C. Murray
1 Integrated Estimation and Tracking of Performance Model Parameters with Autoregressive Trends Tao the model parameters can be tracked by an estimator such as a Kalman Filter, so that decisions can excessive cost (as is usually the case for the CPU time of a service). Because there may be significant
Cohen, Israel
Simultaneous parameter estimation and state smoothing of complex GARCH process in the presence 2010 Keywords: GARCH Parameter estimation Noisy data Maximum likelihood Recursive maximum likelihood a b s t r a c t ARCH and GARCH models have been used recently in model-based signal processing
Ljubljana, University of
Parameters of Postocclusive Reactive Hyperemia Measured by Near Infrared Spectroscopy in Patients PRESERN-STRUKELJ,2 and DAMIJAN MIKLAVC IC 1 1 University of Ljubljana, Faculty of Electrical Engineering study was to determine the parameters of the postocclusive reactive hyperemia test that could help
Fusion procedure for the two-parameter quantum algebra $U_{r,s}(sl_n)$
Naihuan Jing; Ming Liu
2014-09-20T23:59:59.000Z
Irreducible modules of the two-parameter quantum enveloping algebra $U_{r,s}(\\mathfrak{sl}_n)$ are explicitly constructed using the fusion procedure, when $rs^{-1}$ is not a root of unity. This provides an alternative and combinatorial description of the Schur-Weyl duality for two-parameter quantum algebras of type $A$.
Data-driven Techniques to Estimate Parameters in the Homogenized Energy Model for Shape Memory. In this paper, we focus on the homogenized energy model for shape memory alloys (SMA). Specifically, we develop parameters are compared to the initial estimates. 1 Introduction Shape memory alloys (SMA) are novel
temperature evaluation. Keywords IGBT, thermo-sensitive parameter, infrared measurements, thermal is the temperature sensor. Several TSEPs can be used for the chip temperature evaluation under operating conditionsEvaluation of IGBT thermo-sensitive electrical parameters under different dissipation conditions
Dynamics of cerebral blood flow regulation explained using a lumped parameter model
Olufsen, Mette Sofie
Dynamics of cerebral blood flow regulation explained using a lumped parameter model METTE S, and Harvard Medical School, Boston, Massachusetts 02131 Received 22 May 2001; accepted in final form 10 regulation explained using a lumped parameter model. Am J Physiol Regulatory Integra- tive Comp Physiol 282
South Korea Public Preferences for Genetically Modified Foods: a Random Parameter Model
Neimark, Alexander V.
South Korea Public Preferences for Genetically Modified Foods: a Random Parameter Model Benjamin for Genetically Modified Foods: a Random Parameter Model Abstract Food biotechnology promises to deliver a wide foods for Southern Korea. #12;South Korea public Preferences for Genetically Modified Foods: a Random
Effective hydraulic parameters for steady state vertical flow in heterogeneous soils
Mohanty, Binayak P.
Effective hydraulic parameters for steady state vertical flow in heterogeneous soils Jianting Zhu August 2003. [1] In hydroclimate and land-atmospheric interaction models, effective hydraulic properties are needed at large grid scales. In this study, the effective soil hydraulic parameters of the areally
Permeation of Gases in Polymers: Parameter Identification and Nonlinear Regression Analysis
Scheichl, Robert
Permeation of Gases in Polymers: Parameter Identification and Nonlinear Regression Analysis Robert at PARAOPE, Heidelberg, June 30th, 2004 #12;Overview Â· Permeation of gases in polymers Â Application areas for diffusion in polymers Â Description of the experimental device Â Mathematical model Â· Parameter
Boyer, Edmond
Consequences of a multi-generation exposure to uranium on Caenorhabditis elegans life parameters) Consequences of a multi- generation exposure to uranium on Caenorhabditis el- egans life parametersM of uranium. Several gen- erations were selected to assess growth, reproduction, survival, and dose
BAP Sparsing: A Novel Approach to MPEG-4 Body Animation Parameter Compression
Bhandarkar, Suchendra "Suchi" M.
, such as virtual humans [1] [2]. A virtual human body model is animated using a stream of body animation parameters virtual bodies and their animation to be compressed using a standard compression pipeline comprisingBAP Sparsing: A Novel Approach to MPEG-4 Body Animation Parameter Compression Siddhartha
Microbiological parameters as indicators of compost maturity S.M. Tiquia
Tiquia-Arashiro, Sonia M.
Microbiological parameters as indicators of compost maturity S.M. Tiquia Department of Natural management strategies and composted using different turning and moisture regimes; relate their association with humification parameters and compost temperature; and identify the most suitable microbial indicators of compost
Microbial oxygen uptake in sludge as influenced by compost physical parameters1 Ardavan Mohajer1
Paris-Sud XI, Université de
1 Microbial oxygen uptake in sludge as influenced by compost physical parameters1 Ardavan Mohajer1 The wide range of optimal values reported for the physical parameters of compost2 mixtures suggest: compost, biodegradability, respirometry, moisture content, bulking agent to waste22 ratio, particle size
Investigation of Critical Parameters for Power Systems Stability with Dynamic Loads
Pota, Himanshu Roy
Investigation of Critical Parameters for Power Systems Stability with Dynamic Loads M. A. Mahmud, M. J. Hossain, and H. R. Pota Abstract--Most of the power system networks have significant dynamic problems in power systems. This paper presents an analysis to investigate the critical parameters of power
Sensitivity analysis of sediment resuspension parameters in coastal area of southern Lake Michigan
Sensitivity analysis of sediment resuspension parameters in coastal area of southern Lake Michigan analysis was performed to identify and compare quantitatively the important resuspension parameters in the coastal area of southern Lake Michigan. A one-dimensional resuspension and bed model capable of dealing
The Different Characteristics of Aquifer Parameters and Their Implications on Pumping-Test Analysis
Jiao, Jiu Jimmy
The Different Characteristics of Aquifer Parameters and Their Implications on Pumping-Test Analysis and storativity, under constant-rate pumping conditions. A two-way coordinate is such that the conditions implications on pumping-test designs and interpretation. For example, to estimate the parameters
Ko, Kyungduk
2005-11-01T23:59:59.000Z
The main goal of this research is to estimate the model parameters and to detect multiple change points in the long memory parameter of Gaussian ARFIMA(p, d, q) processes. Our approach is Bayesian and inference is done on wavelet domain. Long memory...
All-electric detection of the Stokes parameters of infrared and terahertz radiation
Fominov, Yakov
All-electric detection of the Stokes parameters of infrared and terahertz radiation S.D. Ganichev to measure radiation ellipticity use polarizers-analyzers or ellipsometers. Here we report on an all-electric detection of the laser radiation polarization state describing by the Stokes parameters. The method is based
Strong orientational effect of stretched aerogel on the 3 He order parameter
Paris-Sud XI, UniversitÃ© de
Strong orientational effect of stretched aerogel on the 3 He order parameter J. Elbs, Yu. M. Bunkov (Dated: February 18, 2013) Deformation of aerogel strongly modifies the orientation of the order parameter of superfluid 3 He confined in aerogel. We used a radial squeezing of aerogel to keep the orbital
INVERSION OF EM DATA TO RECOVER 1-D CONDUCTIVITY AND A GEOMETRIC SURVEY PARAMETER
Oldenburg, Douglas W.
ful lment of the requirements for an advanced degree at the University of British Columbia, I agree;Abstract The presence of geometrical survey parameter errors can cause problems when attempting to invert methodology is developed through which it is possible to recover both a function and a parameter
Oxford, University of
A forward microphysical model to predict the size- distribution parameters of laboratory generated Interactions Â Condensational Growth and Coagulation, Submitted for Indian Aerosol Science and Technology Microphysical Model for the UTLS (FAMMUS) is applied to predict the size-distribution parameters of laboratory
Parameter Estimation in Groundwater Flow Models with Distributed and Pointwise Observations*
Parameter Estimation in Groundwater Flow Models with Distributed and Pointwise Observations* Ben G concerning the least sqaures estimation of parameters in a groundwater flow model. As is typically the caseÂ93Â1Â0153. #12; 1 Introduction Understanding the flow of groundwater is an important scientific and engineering
Stanford University
Adaptive modeling of environmental e ects in modal parameters for damage detection in civil parameters due to temperature changes from those caused by structural damage or other environmental e ects to environmental factors can be far larger than those caused by structural damage. During damp weather, for example
Barbero-Immirzi parameter as a scalar field: K-inflation from loop quantum gravity?
Taveras, Victor; Yunes, Nicolas [Institute for Gravitation and the Cosmos, Department of Physics, Pennsylvania State University, University Park, Pennsylvania 16802 (United States)
2008-09-15T23:59:59.000Z
We consider a loop-quantum gravity inspired modification of general relativity, where the Holst action is generalized by making the Barbero-Immirzi (BI) parameter a scalar field, whose value could be dynamically determined. The modified theory leads to a nonzero torsion tensor that corrects the field equations through quadratic first derivatives of the BI field. Such a correction is equivalent to general relativity in the presence of a scalar field with nontrivial kinetic energy. This stress energy of this field is automatically covariantly conserved by its own dynamical equations of motion, thus satisfying the strong equivalence principle. Every general relativistic solution remains a solution to the modified theory for any constant value of the BI field. For arbitrary time-varying BI fields, a study of cosmological solutions reduces the scalar-field stress energy to that of a pressureless perfect fluid in a comoving reference frame, forcing the scale-factor dynamics to be equivalent to those of a stiff equation of state. Upon ultraviolet completion, this model could provide a natural mechanism for k inflation, where the role of the inflaton is played by the BI field and inflation is driven by its nontrivial kinetic energy instead of a potential.
Coal properties and system operating parameters for underground coal gasification
Yang, L. [China University of Mining & Technology, Xuzhou (China)
2008-07-01T23:59:59.000Z
Through the model experiment for underground coal gasification, the influence of the properties for gasification agent and gasification methods on underground coal gasifier performance were studied. The results showed that pulsating gasification, to some extent, could improve gas quality, whereas steam gasification led to the production of high heating value gas. Oxygen-enriched air and backflow gasification failed to improve the quality of the outlet gas remarkably, but they could heighten the temperature of the gasifier quickly. According to the experiment data, the longitudinal average gasification rate along the direction of the channel in the gasifying seams was 1.212 m/d, with transverse average gasification rate 0.069 m/d. Experiment indicated that, for the oxygen-enriched steam gasification, when the steam/oxygen ratio was 2:1, gas compositions remained stable, with H{sub 2} + CO content virtually standing between 60% and 70% and O{sub 2} content below 0.5%. The general regularities of the development of the temperature field within the underground gasifier and the reasons for the changes of gas quality were also analyzed. The 'autopneumatolysis' and methanization reaction existing in the underground gasification process were first proposed.
Dai, Mi
2015-01-01T23:59:59.000Z
In order to obtain robust cosmological constraints from Type Ia supernova (SN Ia) data, we have applied Markov Chain Monte Carlo (MCMC) to SN Ia lightcurve fitting. We develop a method for sampling the resultant probability density distributions (pdf) of the SN Ia lightcuve parameters in the MCMC likelihood analysis to constrain cosmological parameters. Applying this method to the Joint Lightcurve Analysis (JLA) data set of SNe Ia, we find that sampling the SN Ia lightcurve parameter pdf's leads to cosmological parameters closer to that of a flat Universe with a cosmological constant, compared to the usual practice of using only the best fit values of the SN Ia lightcurve parameters. Our method will be useful in the use of SN Ia data for precision cosmology.
The effect of degeneracy parameter on Weibel instability in dense plasma
Mahdavi, M. [Physics Department, Mazandaran University, P.O. Box 47415-416 Babolsar (Iran, Islamic Republic of)] [Physics Department, Mazandaran University, P.O. Box 47415-416 Babolsar (Iran, Islamic Republic of); Khodadadi Azadboni, F. [Physics Department, Mazandaran University, P.O. Box 47415-416 Babolsar (Iran, Islamic Republic of) [Physics Department, Mazandaran University, P.O. Box 47415-416 Babolsar (Iran, Islamic Republic of); Young Researchers Club, Sari Branch, Islamic Azad University, P.O. Box 48161-194 Sari (Iran, Islamic Republic of)
2013-12-15T23:59:59.000Z
In this paper, the role of degeneracy parameter, in both directions parallel and perpendicular with propagation direction of the laser beam in plasma, on the growth rate of Weibel instability, is studied. Calculations show that with the temperature anisotropy, ? = T{sub ?}/T{sub ?} = 0.2 and a 0.75 times reduction of the degeneracy parameter, the increased rate of the the Weibel instability growth rate is 72%. The degeneracy required for minimal growth rate in interaction laser plasma with a density of 1.2 × 10{sup 32}m{sup ?3}, is larger than 3. The reduction of temperature and the degeneracy parameter of plasma in parallel direction will also increase growth rate about 30% more than incrossing degeneracy parameter in transverse direction. With the minimum pressure costs of cold compression, subsequent degeneracy parameters, and the minimum value of electron quiver energy, we can expect growth rate of Weibel instability order 0.01.
Pankow, C; Ochsner, E; O'Shaughnessy, R
2015-01-01T23:59:59.000Z
We introduce a highly-parallelizable architecture for estimating parameters of compact binary coalescence using gravitational-wave data and waveform models. Using a spherical harmonic mode decomposition, the waveform is expressed as a sum over modes that depend on the intrinsic parameters (e.g. masses) with coefficients that depend on the observer dependent extrinsic parameters (e.g. distance, sky position). The data is then prefiltered against those modes, at fixed intrinsic parameters, enabling efficiently evaluation of the likelihood for generic source positions and orientations, independent of waveform length or generation time. We efficiently parallelize our intrinsic space calculation by integrating over all extrinsic parameters using a Monte Carlo integration strategy. Since the waveform generation and prefiltering happens only once, the cost of integration dominates the procedure. Also, we operate hierarchically, using information from existing gravitational-wave searches to identify the regions of pa...
Bayesian parameter estimation of core collapse supernovae using gravitational wave simulations
Matthew C. Edwards; Renate Meyer; Nelson Christensen
2014-07-28T23:59:59.000Z
Using the latest numerical simulations of rotating stellar core collapse, we present a Bayesian framework to extract the physical information encoded in noisy gravitational wave signals. We fit Bayesian principal component regression models with known and unknown signal arrival times to reconstruct gravitational wave signals, and subsequently fit known astrophysical parameters on the posterior means of the principal component coefficients using a linear model. We predict the ratio of rotational kinetic energy to gravitational energy of the inner core at bounce by sampling from the posterior predictive distribution, and find that these predictions are generally very close to the true parameter values, with $90\\%$ credible intervals $\\sim 0.04$ and $\\sim 0.06$ wide for the known and unknown arrival time models respectively. Two supervised machine learning methods are implemented to classify precollapse differential rotation, and we find that these methods discriminate rapidly rotating progenitors particularly well. We also introduce a constrained optimization approach to model selection to find an optimal number of principal components in the signal reconstruction step. Using this approach, we select 14 principal components as the most parsimonious model.
A key factor to the spin parameter of uniformly rotating compact stars: crust structure
Qi, B; Sun, B Y; Wang, S Y; Gao, J H
2014-01-01T23:59:59.000Z
We study the key factor to determine the dimensionless spin parameter $j\\equiv cJ/(GM^2)$ of different kinds of uniformly rotating compact stars, including the traditional neutron stars, hyperonic neutron stars, and hybrid stars, and check the reliability of the results on various types of equations of state of dense matter. The equations of state from the relativistic mean field theory and the MIT bag model are adopted to simulate compact stars. Numerical calculations of rigidly rotating neutron stars are performed using the RNS code in the framework of general relativity by solving the Einstein equations for stationary axis-symmetric spacetime. The crust structure of compact stars is found to be a key factor to determine the maximum value of the spin parameter $j_{\\rm max}$. For the stars with inclusion of the crust, $j_{\\rm max}\\sim 0.7$ is sustained for various kinds of compact stars with $M>0.5 M_{\\odot}$, and is found to be insensitive to the mass of star and selected equations of state. For the traditi...
Pseudobond parameters for QM/MM studies involving nucleosides, nucleotides, and their analogs
Chaudret, Robin [Duke University, North Carolina] [Duke University, North Carolina; Parks, Jerry M [ORNL] [ORNL; Yang, Weitao [Duke University, North Carolina] [Duke University, North Carolina
2013-01-01T23:59:59.000Z
In biological systems involving nucleosides, nucleotides, or their respective analogs, the ribose sugar moiety is the most common reaction site, for example, during DNA replication and repair. How- ever, nucleic bases, which comprise a sizable portion of nucleotide molecules, are usually unreactive during such processes. In quantum mechanical/molecular simulations of nucleic acid reactivity, it may therefore be advantageous to describe specific ribosyl or ribosyl phosphate groups quantum me- chanically and their respective nucleic bases with a molecular mechanics potential function. Here, we have extended the pseudobond approach to enable quantum mechanical/molecular mechanical simulations involving nucleotides, nucleosides, and their analogs in which the interface between the two subsystems is located between the sugar and the base, namely, the C(sp3) N(sp2) bond. The pseudobond parameters were optimized on a training set of 10 molecules representing several nu- cleotide and nucleoside bases and analogs, and they were then tested on a larger test set of 20 diverse molecules. Particular emphasis was placed on providing accurate geometries and electrostatic prop- erties, including electrostatic potential, natural bond orbital (NBO) and atoms in molecules (AIM) charges and AIM first moments. We also tested the optimized parameters on five nucleotide and nu- cleoside analogues of pharmaceutical relevance and a small polypeptide (triglycine). Accuracy was maintained for these systems, which highlights the generality and transferability of the pseudobond approach. 2013 American Institute of Physics. [http://dx.doi.org/10.1063/1.4772182
Abundances, Stellar Parameters, and Spectra From the SDSS-III/APOGEE Survey
Holtzman, Jon A; Johnson, Jennifer A; Prieto, Carlos Allende; Anders, Friedrich; Andrews, Brett; Beers, Timothy C; Bizyaev, Dmitry; Blanton, Michael R; Bovy, Jo; Carrera, Ricardo; Cunha, Katia; Eisenstein, Daniel J; Feuillet, Diane; Frinchaboy, Peter M; Galbraith-Frew, Jessica; Perez, Ana E Garcia; Hernandez, D Anibal Garcia; Hasselquist, Sten; Hayden, Michael R; Hearty, Fred R; Ivans, Inese; Majewski, Steven R; Martell, Sarah; Meszaros, Szabolcs; Muna, Demitri; Nidever, David L; Nguyen, Duy Cuong; O'Connell, Robert W; Pan, Kaike; Pinsonneault, Marc; Robin, Annie C; Schiavon, Ricardo P; Shane, Neville; Sobeck, Jennifer; Smith, Verne V; Troup, Nicholas; Weinberg, David H; Wilson, John C; Wood-Vasey, W M; Zamora, Olga; Zasowski, Gail
2015-01-01T23:59:59.000Z
The SDSS-III/APOGEE survey operated from 2011-2014 using the APOGEE spectrograph, which collects high-resolution (R~22,500), near-IR (1.51-1.70 microns) spectra with a multiplexing (300 fiber-fed objects) capability. We describe the survey data products that are publicly available, which include catalogs with radial velocity, stellar parameters, and 15 elemental abundances for over 150,000 stars, as well as the more than 500,000 spectra from which these quantities are derived. Calibration relations for the stellar parameters (Teff, log g, [M/H], [alpha/M]) and abundances (C, N, O, Na, Mg, Al, Si, S, K, Ca, Ti, V, Mn, Fe, Ni) are presented and discussed. The internal scatter of the abundances within clusters indicates that abundance precision is generally between 0.05 and 0.09 dex across a broad temperature range; within more limited ranges and at high S/N, it is smaller for some elemental abundances. We assess the accuracy of the abundances using comparison of mean cluster metallicities with literature values...
Pompeu Fabra, Universitat
of Action, and Parameters Involved in Target Specificity,,@ M. Luisa Mangoni, Niv Papo,§ Giuseppina Mignogna
Paris-Sud XI, Université de
LINEAR COLLIDER TEST FACILITY: TWISS PARAMETER ANALYSIS AT THE IP/POST-IP LOCATION OF THE ATF2 BEAM through to the IP, the Twiss parameters need to be measured at the IP or PIP. Up to now, these parameters to extract the Twiss parameters and the emittance thanks to the three coefficients of the fit
Renormalization group running of neutrino parameters in the inverse seesaw model
Johannes Bergstrom; Michal Malinsky; Tommy Ohlsson; He Zhang
2012-07-06T23:59:59.000Z
We perform a detailed study of the renormalization group equations in the inverse seesaw model. Especially, we derive compact analytical formulas for the running of the neutrino parameters in the standard model and the minimal supersymmetric standard model, and illustrate that, due to large Yukawa coupling corrections, significant running effects on the leptonic mixing angles can be naturally obtained in the proximity of the electroweak scale, perhaps even within the reach of the LHC. In general, if the mass spectrum of the light neutrinos is nearly degenerate, the running effects are enhanced to experimentally accessible levels, well suitable for the investigation of the underlying dynamics behind the neutrino mass generation and the lepton flavor structure. In addition, the effects of the seesaw thresholds are discussed, and a brief comparison to other seesaw models is carried out.
Renormalization group running of neutrino parameters in the inverse seesaw model
Bergstroem, Johannes; Malinsky, Michal; Ohlsson, Tommy; Zhang He [Department of Theoretical Physics, School of Engineering Sciences, Royal Institute of Technology (KTH)-AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm (Sweden)
2010-06-01T23:59:59.000Z
We perform a detailed study of the renormalization group equations in the inverse seesaw model. Especially, we derive compact analytical formulas for the running of the neutrino parameters in the standard model and the minimal supersymmetric standard model, and illustrate that, due to large Yukawa coupling corrections, significant running effects on the leptonic mixing angles can be naturally obtained in the proximity of the electroweak scale, perhaps even within the reach of the LHC. In general, if the mass spectrum of the light neutrinos is nearly degenerate, the running effects are enhanced to experimentally accessible levels, well suitable for the investigation of the underlying dynamics behind the neutrino mass generation and the lepton flavor structure. In addition, the effects of the seesaw thresholds are discussed, and a brief comparison to other seesaw models is carried out.
Sensitivity of storage field performance to geologic and cavern design parameters in salt domes.
Ehgartner, Brian L. (Sandia National Laboratories, Albuquerque, NM); Park, Byoung Yoon
2009-03-01T23:59:59.000Z
A sensitivity study was performed utilizing a three dimensional finite element model to assess allowable cavern field sizes for strategic petroleum reserve salt domes. A potential exists for tensile fracturing and dilatancy damage to salt that can compromise the integrity of a cavern field in situations where high extraction ratios exist. The effects of salt creep rate, depth of salt dome top, dome size, caprock thickness, elastic moduli of caprock and surrounding rock, lateral stress ratio of surrounding rock, cavern size, depth of cavern, and number of caverns are examined numerically. As a result, a correlation table between the parameters and the impact on the performance of storage field was established. In general, slower salt creep rates, deeper depth of salt dome top, larger elastic moduli of caprock and surrounding rock, and a smaller radius of cavern are better for structural performance of the salt dome.
Sensitivity of storage field performance to geologic and cavern design parameters in salt domes.
Ehgartner, Brian L.; Park, Byoung Yoon; Herrick, Courtney Grant
2010-06-01T23:59:59.000Z
A sensitivity study was performed utilizing a three dimensional finite element model to assess allowable cavern field sizes in strategic petroleum reserve salt domes. A potential exists for tensile fracturing and dilatancy damage to salt that can compromise the integrity of a cavern field in situations where high extraction ratios exist. The effects of salt creep rate, depth of salt dome top, dome size, caprock thickness, elastic moduli of caprock and surrounding rock, lateral stress ratio of surrounding rock, cavern size, depth of cavern, and number of caverns are examined numerically. As a result, a correlation table between the parameters and the impact on the performance of a storage field was established. In general, slower salt creep rates, deeper depth of salt dome top, larger elastic moduli of caprock and surrounding rock, and a smaller radius of cavern are better for structural performance of the salt dome.
Chayan Ranjit; Prabir Rudra; Ujjal Debnath
2014-06-10T23:59:59.000Z
We have assumed the FRW model of the universe in Galileon gravity, which is filled with dark matter and Modified Chaplygin gas (MCG) type dark energy. We present the Hubble parameter in terms of some unknown parameters and observational parameters with the redshift $z$. Some cosmological parameters are reconstructed and plots are generated to study the nature of the model and its viability. It is seen that the model is perfectly consistent with the present cosmic acceleration. From \\textit{observed Hubble data (OHD) set or Stern data set} of 12 points, we have obtained the bounds of the arbitrary parameters ($A,B$) & ($A,C$) by minimizing the $\\chi^{2}$ test. Next due to joint analysis of \\textit{Stern+BAO} and \\textit{Stern+BAO+CMB} observations, we have also obtained the best fit values and the bounds of the parameters ($A,B$) & ($A,C$) by fixing some other parameters. The best-fit values and bounds of the parameters are obtained with 66%, 90% and 99% confidence levels for \\textit{Stern, Stern+BAO and Stern+BAO+CMB} joint analysis. Next we have also taken type Ia supernovae data set (union 2 data set with 557 data points). The distance modulus $\\mu(z)$ against redshift $z$ for our theoretical MCG model in Galileon gravity have been tested for the best fit values of the parameters and the observed \\textit{SNe Ia union 2 data} sample and from this, we have concluded that our model is in agreement with the union 2 sample data.
Parameter Analysis of the VPIN (Volume synchronized Probability of Informed Trading) Metric
Song, Jung Heon; Wu, Kesheng; Simon, Horst D.
2014-03-01T23:59:59.000Z
VPIN (Volume synchronized Probability of Informed trading) is a leading indicator of liquidity-induced volatility. It is best known for having produced a signal more than hours before the Flash Crash of 2010. On that day, the market saw the biggest one-day point decline in the Dow Jones Industrial Average, which culminated to the market value of $1 trillion disappearing, but only to recover those losses twenty minutes later (Lauricella 2010). The computation of VPIN requires the user to set up a handful of free parameters. The values of these parameters significantly affect the effectiveness of VPIN as measured by the false positive rate (FPR). An earlier publication reported that a brute-force search of simple parameter combinations yielded a number of parameter combinations with FPR of 7percent. This work is a systematic attempt to find an optimal parameter set using an optimization package, NOMAD (Nonlinear Optimization by Mesh Adaptive Direct Search) by Audet, le digabel, and tribes (2009) and le digabel (2011). We have implemented a number of techniques to reduce the computation time with NOMAD. Tests show that we can reduce the FPR to only 2percent. To better understand the parameter choices, we have conducted a series of sensitivity analysis via uncertainty quantification on the parameter spaces using UQTK (Uncertainty Quantification Toolkit). Results have shown dominance of 2 parameters in the computation of FPR. Using the outputs from NOMAD optimization and sensitivity analysis, We recommend A range of values for each of the free parameters that perform well on a large set of futures trading records.
Compartment modeling of dynamic brain PET—The impact of scatter corrections on parameter errors
Häggström, Ida, E-mail: ida.haggstrom@radfys.umu.se; Karlsson, Mikael; Larsson, Anne [Department of Radiation Sciences, Umeå University, Umeå 90187 (Sweden); Schmidtlein, C. Ross [Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York 10065 (United States)
2014-11-01T23:59:59.000Z
Purpose: The aim of this study was to investigate the effect of scatter and its correction on kinetic parameters in dynamic brain positron emission tomography (PET) tumor imaging. The 2-tissue compartment model was used, and two different reconstruction methods and two scatter correction (SC) schemes were investigated. Methods: The GATE Monte Carlo (MC) software was used to perform 2 × 15 full PET scan simulations of a voxelized head phantom with inserted tumor regions. The two sets of kinetic parameters of all tissues were chosen to represent the 2-tissue compartment model for the tracer 3?-deoxy-3?-({sup 18}F)fluorothymidine (FLT), and were denoted FLT{sub 1} and FLT{sub 2}. PET data were reconstructed with both 3D filtered back-projection with reprojection (3DRP) and 3D ordered-subset expectation maximization (OSEM). Images including true coincidences with attenuation correction (AC) and true+scattered coincidences with AC and with and without one of two applied SC schemes were reconstructed. Kinetic parameters were estimated by weighted nonlinear least squares fitting of image derived time–activity curves. Calculated parameters were compared to the true input to the MC simulations. Results: The relative parameter biases for scatter-eliminated data were 15%, 16%, 4%, 30%, 9%, and 7% (FLT{sub 1}) and 13%, 6%, 1%, 46%, 12%, and 8% (FLT{sub 2}) for K{sub 1}, k{sub 2}, k{sub 3}, k{sub 4}, V{sub a}, and K{sub i}, respectively. As expected, SC was essential for most parameters since omitting it increased biases by 10 percentage points on average. SC was not found necessary for the estimation of K{sub i} and k{sub 3}, however. There was no significant difference in parameter biases between the two investigated SC schemes or from parameter biases from scatter-eliminated PET data. Furthermore, neither 3DRP nor OSEM yielded the smallest parameter biases consistently although there was a slight favor for 3DRP which produced less biased k{sub 3} and K{sub i} estimates while OSEM resulted in a less biased V{sub a}. The uncertainty in OSEM parameters was about 26% (FLT{sub 1}) and 12% (FLT{sub 2}) larger than for 3DRP although identical postfilters were applied. Conclusions: SC was important for good parameter estimations. Both investigated SC schemes performed equally well on average and properly corrected for the scattered radiation, without introducing further bias. Furthermore, 3DRP was slightly favorable over OSEM in terms of kinetic parameter biases and SDs.
Using a scalar parameter to trace dislocation evolution in atomistic modeling
Yang, Jinbo [ORNL; Zhang, Z F [Shenyang National Laboratory for Materials Science; Osetskiy, Yury N [ORNL; Stoller, Roger E [ORNL
2015-01-01T23:59:59.000Z
A scalar gamma-parameter is proposed from the Nye tensor. Its maximum value occurs along a dislocation line, either straight or curved, when the coordinate system is purposely chosen. This parameter can be easily obtained from the Nye tensor calculated at each atom in atomistic modeling. Using the gamma-parameter, a fully automated approach is developed to determine core atoms and the Burgers vectors of dislocations simultaneously. The approach is validated by revealing the smallest dislocation loop and by tracing the whole formation process of complicated dislocation networks on the fly.
Estimation of Inflation parameters for Perturbed Power Law model using recent CMB measurements
Suvodip Mukherjee; Santanu Das; Minu Joy; Tarun Souradeep
2015-01-31T23:59:59.000Z
Cosmic Microwave Background (CMB) is an important probe for understanding the inflationary era of the Universe. We consider the Perturbed Power Law (PPL) model of inflation which is a soft deviation from Power Law (PL) inflationary model. This model captures the effect of higher order derivative of Hubble parameter during inflation, which in turn leads to a non-zero effective mass $m_{\\rm eff}$ for the inflaton field. The higher order derivatives of Hubble parameter at leading order sources constant difference in the spectral index for scalar and tensor perturbation going beyond PL model of inflation. PPL model have two observable independent parameters, namely spectral index for tensor perturbation $\
Estimation of Inflation parameters for Perturbed Power Law model using recent CMB measurements
Mukherjee, Suvodip; Joy, Minu; Souradeep, Tarun
2014-01-01T23:59:59.000Z
Cosmic Microwave Background (CMB) is an important probe for understanding the inflationary era of the Universe. We consider the Perturbed Power Law (PPL) model of inflation which is a soft deviation from Power Law (PL) inflationary model. This model captures the effect of higher order derivative of Hubble parameter during inflation, which in turn leads to a non-zero effective mass $m_{\\rm eff}$ for the inflaton field. The higher order derivatives of Hubble parameter at leading order sources constant difference in the spectral index for scalar and tensor perturbation going beyond PL model of inflation. PPL model have two observable independent parameters, namely spectral index for tensor perturbation $\
Finite element analysis of surface-stress effects in the Si lattice-parameter measurement
Sasso, Carlo; Massa, Enrico; Mana, Giovanni; Kuetgens, Ulrich
2013-01-01T23:59:59.000Z
A stress exists in solids surfaces, similarly to liquids, also if the underlying bulk material is stress-free. This paper investigates the surface stress effect on the measured value of the Si lattice parameter used to determine the Avogadro constant by counting Si atoms. An elastic-film model has been used to provide a surface load in a finite element analysis of the lattice strain of the x-ray interferometer crystal used to measure the lattice parameter. Eventually, an experiment is proposed to work a lattice parameter measurement out so that there is a visible effect of the surface stress.
A Monte Carlo study of the distribution of parameter estimators in a dual exponential decay model
Garcia, Raul
1969-01-01T23:59:59.000Z
of an estimate of the reliability of the parameter estimates calculated. In 1965, Bell and Garcia [2] developed a computer program which permits a solution of the parameters without the time-consuming effort of manual calcu- lations. The same year, Rossing [3...A MONTE CARLO STUDY OF THE DISTRIBUTION OF PARAMETER ESTIMATORS IN A DUAL EXPONENTIAL DECAY MODEL A Thesis by SAUL GARCIA Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirements for the degree...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
m Revolution frequency f0 271.554 kHz Revolution time T0 3.682 mu s Harmonic number htextrmrf 1296 Typical RF voltage V0 9.5 MV Typical synchronous...
Non-normal parameter blowout bifurcation: an example in a truncated mean field dynamo model
Eurico Covas; Peter Ashwin; Reza Tavakol
1997-09-08T23:59:59.000Z
We examine global dynamics and bifurcations occurring in a truncated model of a stellar mean field dynamo. This model has symmetry-forced invariant subspaces for the dynamics and we find examples of transient type I intermittency and blowout bifurcations to transient on-off intermittency, involving laminar phases in the invariant submanifold. In particular, our model provides examples of blowout bifurcations that occur on varying a non-normal parameter; that is, the parameter varies the dynamics within the invariant subspace at the same time as the dynamics normal to it. As a consequence of this we find that the Lyapunov exponents do not vary smoothly and the blowout bifurcation occurs over a range of parameter values rather than a point in the parameter space.
Lee, W.Y. [Korea Inst. of Energy Research, Taejon (Korea, Republic of); Park, C.; Kelly, G.E. [National Inst. of Standards and Technology, Gaithersburg, MD (United States)
1996-11-01T23:59:59.000Z
A scheme for detecting faults in an air-handling unit using residual and parameter identification methods is presented. Faults can be detected by comparing the normal or expected operating condition data with the abnormal, measured data using residuals. Faults can also be detected by examining unmeasurable parameter changes in a model of a controlled system using a system parameter identification technique. In this study, autoregressive moving average with exogenous input (ARMAX) and autoregressive with exogenous input (ARX) models with both single-input/single-output (SISO) and multi-input/single-output (MISO) structures are examined. Model parameters are determined using the Kalman filter recursive identification method. This approach is tested using experimental data from a laboratory`s variable-air-volume (VAV) air-handling unit operated with and without faults.
Calibrating Multi-machine Power System Parameters with the Extended Kalman Filter
Kalsi, Karanjit; Sun, Yannan; Huang, Zhenyu; Du, Pengwei; Diao, Ruisheng; Anderson, Kevin K.; Li, Yulan; Lee, Barry
2012-07-24T23:59:59.000Z
Large-scale renewable resources and novel smart-grid technologies continue to increase the complexity of power systems. As power systems continue to become more complex, accurate modeling for planning and operation becomes a necessity. Inaccurate system models would result in an unreliable assessment of system security conditions and could cause large-scale blackouts. This motivates the need for model parameter calibration, since some or all of the model parameters could be unknown or inaccurate. In this paper, the extended Kalman filter is used to calibrate the parameters of a multi-machine power system. The calibration performance is tested under varying fault locations, parameter errors and measurement noise giving an insight into how many generators and which generators could be difficult to calibrate.
Early Site Permit Demonstration Program: Plant parameters envelope report. Volume 1
Not Available
1993-03-01T23:59:59.000Z
The Early Site Permit (ESP) Demonstration Program is the nuclear industry`s initiative for piloting the early resolution of siting-related issues before the detailed design proceedings of the combined operating license review. The ESP Demonstration Program consists of three phases. The plant parameters envelopes task is part of Phase 1, which addresses the generic review of applicable federal regulations and develops criteria for safety and environmental assessment of potential sites. The plant parameters envelopes identify parameters that characterize the interface between an ALWR design and a potential site, and quantify the interface through values selected from the Utility Requirements Documents, vendor design information, or engineering assessments. When augmented with site-specific information, the plant parameters envelopes provide sufficient information to allow ESPs to be granted based on individual ALWR design information or enveloping design information for the evolutionary, passive, or generic ALWR plants. This document is expected to become a living document when used by future applicants.
Critical Material Parameters for Modeling Devices Made from an Epoxy-Based Shape Memory Polymer
Erel, Veysel
2014-06-17T23:59:59.000Z
the material. The strain to failure was small, and insufficient for extracting hyperelastic parameters. Using narrower gage width specimens, or perhaps a new specimen design, would benefit modeling and analysis for this material....
Tom, Jonathan
2010-04-27T23:59:59.000Z
The purpose of this Master Thesis is to present the flight test procedures, planning, and analysis including system identification, parameter identification, and drag calculations of the Meridian UAS. The system identification is performed using...
E-Print Network 3.0 - aero thermal parameters Sample Search Results
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
29 ccsd-00008662,version1-13Sep2005 NMR measurements of hyperpolarized 3 Summary: of the aerogel struc- ture on atomic motion is thus described by the single parameter aero. The...
Variation in lattice parameters of 6H-SiC irradiated to extremely...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
the lattice structure on the basal plane to shrink. Citation: Jiang W, P Nachimuthu, WJ Weber, and L Ginzbursky.2007."Variation in lattice parameters of 6H-SiC irradiated to...
Xu, Wen, 1967-
2001-01-01T23:59:59.000Z
Matched-field methods concern estimation of source location and/or ocean environmental parameters by exploiting full wave modeling of acoustic waveguide propagation. Typical estimation performance demonstrates two fundamental ...
Danish Building Research Institute, Aalborg University 2009 Humidity as a control parameter for
Ventilation system.....................................................................................11 for ventilation Phase 2: Development and testing of ventilation strategies in the laboratory Alireza Afshari Niels C. Bergsøe #12;Title Humidity as a control parameter for ventilation Subtitle Phase 2: Development
Recommended Parameter Values for GENII Modeling of Radionuclides in Routine Air and Water Releases
Snyder, Sandra F.; Arimescu, Carmen; Napier, Bruce A.; Hay, Tristan R.
2012-11-01T23:59:59.000Z
The GENII v2 code is used to estimate dose to individuals or populations from the release of radioactive materials into air or water. Numerous parameter values are required for input into this code. User-defined parameters cover the spectrum from chemical data, meteorological data, agricultural data, and behavioral data. This document is a summary of parameter values that reflect conditions in the United States. Reasonable regional and age-dependent data is summarized. Data availability and quality varies. The set of parameters described address scenarios for chronic air emissions or chronic releases to public waterways. Considerations for the special tritium and carbon-14 models are briefly addressed. GENIIv2.10.0 is the current software version that this document supports.
Singal, J.; Shmakova, M.; Gerke, B.; /KIPAC, Menlo Park /SLAC /Stanford U.; Griffith, R.L.; /Caltech, JPL; Lotz, J.; /NOAO, Tucson
2011-05-20T23:59:59.000Z
We present a determination of the effects of including galaxy morphological parameters in photometric redshift estimation with an artificial neural network method. Neural networks, which recognize patterns in the information content of data in an unbiased way, can be a useful estimator of the additional information contained in extra parameters, such as those describing morphology, if the input data are treated on an equal footing. We show that certain principal components of the morphology information are correlated with galaxy type. However, we find that for the data used the inclusion of morphological information does not have a statistically significant benefit for photometric redshift estimation with the techniques employed here. The inclusion of these parameters may result in a trade-off between extra information and additional noise, with the additional noise becoming more dominant as more parameters are added.
Smith, Jamie Brooke
2006-08-16T23:59:59.000Z
of the - parameter space, including both unstratified ( = 0) and highly stratified ( = 4) flows and for terrain slopes characteristic of both geophysical ( = 0.1) and laboratory scale ( = 2.0) obstacles. Simulations both with and without applied surface stresses...
Type Ia Supernova Intrinsic Magnitude Dispersion and the Fitting of Cosmological Parameters
Kim, Alex G
2010-12-10T23:59:59.000Z
I present an analysis for fitting cosmological parameters from a Hubble Diagram of a standard candle with unknown intrinsic magnitude dispersion. The dispersion is determined from the data themselves, simultaneously with the cosmological parameters. This contrasts with the strategies used to date. The advantages of the presented analysis are that it is done in a single fit (it is not iterative), it provides a statistically founded and unbiased estimate of the intrinsic dispersion, and its cosmological-parameter uncertainties account for the intrinsic dispersion uncertainty. Applied to Type Ia supernovae, my strategy provides a statistical measure to test for sub-types and assess the significance of any magnitude corrections applied to the calibrated candle. Parameter bias and differences between likelihood distributions produced by the presented and currently-used fitters are negligibly small for existing and projected supernova data sets.
U-089:Apache Struts ParameterInterceptor() Flaw Lets Remote Users...
Broader source: Energy.gov (indexed) [DOE]
Apache Struts ParameterInterceptor() Flaw Lets Remote Users Execute Arbitrary Commands PLATFORM: Struts 2.0.0 - Struts 2.3.1.1 ABSTRACT: A remote user can execute arbitrary code on...
McHenry, Michael E.
of Physics. Related Articles High performance magnetocaloric perovskites for magnetic refrigeration Appl energy on interatomic spacing. The magnetic entropy curve revealed extra broadening with a refrigerationThe effect of distributed exchange parameters on magnetocaloric refrigeration capacity in amorphous
Charge Distributions in Transverse Coordinate Space and in Impact Parameter Space
Dae Sung Hwang; Dong Soo Kim; Jonghyun Kim
2008-05-30T23:59:59.000Z
We study the charge distributions of the valence quarks inside nucleon in the transverse coordinate space, which is conjugate to the transverse momentum space. We compare the results with the charge distributions in the impact parameter space.
Acquaviva, Viviana; Gawiser, Eric
2015-01-01T23:59:59.000Z
We seek to improve the accuracy of joint galaxy photometric redshift estimation and spectral energy distribution (SED) fitting. By simulating different sources of uncorrected systematic errors, we demonstrate that if the uncertainties on the photometric redshifts are estimated correctly, so are those on the other SED fitting parameters, such as stellar mass, stellar age, and dust reddening. Furthermore, we find that if the redshift uncertainties are over(under)-estimated, the uncertainties in SED parameters tend to be over(under)-estimated by similar amounts. These results hold even in the presence of severe systematics and provide, for the first time, a mechanism to validate the uncertainties on these parameters via comparison with spectroscopic redshifts. We propose a new technique (annealing) to re-calibrate the joint uncertainties in the photo-z and SED fitting parameters without compromising the performance of the SED fitting + photo-z estimation. This procedure provides a consistent estimation of the mu...
Okeke, Amarachukwu Ngozi
2006-10-30T23:59:59.000Z
of the various modeling parameters on its reservoir performance. A dual porosity coalbed methane simulator is used to model primary production from a single well coal seam, for a variety of coal properties for this work. Varying different coal properties...
Dealing with parameter uncertainty in the calculation of water surface profiles
Vargas-Cruz, Ruben F.
1998-01-01T23:59:59.000Z
Hydrologic and hydraulic variables common to many graphics. water resources engineering problems are known to contain considerable uncertainty. The description of the underlying uncertainty of these parameters is extremely ...
Not Available
1992-09-01T23:59:59.000Z
The purpose of this volume is to report the results of the comparison of the ALWR plan parameters envelope with values of site characteristics developed for our hypothetical sites that generally represent conditions encountered within the United States. This effort is not intended to identify or address the suitability of any existing site, site area, or region in the United States. Also included in this volume is Appendix F, SERCH Summaries Regarding Siting.
A determination of microbial parameters of a coconut processing pilot plant
Kajs, Theresa Marie
1975-01-01T23:59:59.000Z
A DETERMINATION OF MICROBIAL PARAMETERS OF A COCONUT PROCESSING PILOT PLANT A Thesis by Theresa Marie Kajs Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER... OF SCIENCE May 1975 Major Subject: Microbiology A DETERMINATION OF MICROBIAL PARAMETERS OF A COCONUT PROCESSING PILOT PLANT A Thesis by Theresa Marie Kajs Approved as to style and content by: , ) g (Co-chairman of C~ittee) (Co-chairman of Committee...
Construction of a driver-vehicle model and identification of the driver model parameters
Su, Jemeng
1981-01-01T23:59:59.000Z
CONSTRUCTION OF A DRIVER-VEHICLE MODEL AND IDENTIFICATION OF THE DRIVER MODEL PARAMETERS A Thesis by , JEMENG SU Submitted to the Graduate College of Texas A8M University in partial fulfillment of the requiremr nt for the degree of MASTER... OF SCIENCE December 1981 Major Subject: Mechanical Engineering CONSTRUCTION OF A DRIVER-VEHICLE MODEL AND IDENTIFICATION OF THE DRIVER MODEL PARAMETERS A Thesis by JEMENG SU Approved as to style and content by: (Chairman of Committe ) / I...
Gershgorin, B. [Department of Mathematics and Center for Atmosphere and Ocean Science, Courant Institute of Mathematical Sciences, New York University, NY 10012 (United States); Harlim, J. [Department of Mathematics, North Carolina State University, NC 27695 (United States)], E-mail: jharlim@ncsu.edu; Majda, A.J. [Department of Mathematics and Center for Atmosphere and Ocean Science, Courant Institute of Mathematical Sciences, New York University, NY 10012 (United States)
2010-01-01T23:59:59.000Z
The filtering and predictive skill for turbulent signals is often limited by the lack of information about the true dynamics of the system and by our inability to resolve the assumed dynamics with sufficiently high resolution using the current computing power. The standard approach is to use a simple yet rich family of constant parameters to account for model errors through parameterization. This approach can have significant skill by fitting the parameters to some statistical feature of the true signal; however in the context of real-time prediction, such a strategy performs poorly when intermittent transitions to instability occur. Alternatively, we need a set of dynamic parameters. One strategy for estimating parameters on the fly is a stochastic parameter estimation through partial observations of the true signal. In this paper, we extend our newly developed stochastic parameter estimation strategy, the Stochastic Parameterization Extended Kalman Filter (SPEKF), to filtering sparsely observed spatially extended turbulent systems which exhibit abrupt stability transition from time to time despite a stable average behavior. For our primary numerical example, we consider a turbulent system of externally forced barotropic Rossby waves with instability introduced through intermittent negative damping. We find high filtering skill of SPEKF applied to this toy model even in the case of very sparse observations (with only 15 out of the 105 grid points observed) and with unspecified external forcing and damping. Additive and multiplicative bias corrections are used to learn the unknown features of the true dynamics from observations. We also present a comprehensive study of predictive skill in the one-mode context including the robustness toward variation of stochastic parameters, imperfect initial conditions and finite ensemble effect. Furthermore, the proposed stochastic parameter estimation scheme applied to the same spatially extended Rossby wave system demonstrates high predictive skill, comparable with the skill of the perfect model for a duration of many eddy turnover times especially in the unstable regime.
Huang, Zhenyu; Du, Pengwei; Kosterev, Dmitry; Yang, Steve
2013-05-01T23:59:59.000Z
Disturbance data recorded by phasor measurement units (PMU) offers opportunities to improve the integrity of dynamic models. However, manually tuning parameters through play-back events demands significant efforts and engineering experiences. In this paper, a calibration method using the extended Kalman filter (EKF) technique is proposed. The formulation of EKF with parameter calibration is discussed. Case studies are presented to demonstrate its validity. The proposed calibration method is cost-effective, complementary to traditional equipment testing for improving dynamic model quality.
Londergan, John Thomas
1987-01-01T23:59:59.000Z
TRANSPORT PARAMETER DETERMINATION AND MODELING OF SODIUM AND STRONTIUM PLUMES AT THE IDAHO NATIONAL ENGINEERING LABORATORY A Thesis by JOHN THOMAS LONDERGAN Submitted to the Graduate College of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE May 1987 Major Subject: Geophysics TRANSPORT PARAMETER DETERMINATION AND MODELING OF SODIUM AND STRONTIUM PLUMES AT THE IDAHO NATIONAL ENGINEERING LABORATORY A Thesis by JOHN THOMAS LONDERGAN Approved...
Using Markov chain Monte Carlo methods for estimating parameters with gravitational radiation data
Nelson Christensen; Renate Meyer
2001-02-05T23:59:59.000Z
We present a Bayesian approach to the problem of determining parameters for coalescing binary systems observed with laser interferometric detectors. By applying a Markov Chain Monte Carlo (MCMC) algorithm, specifically the Gibbs sampler, we demonstrate the potential that MCMC techniques may hold for the computation of posterior distributions of parameters of the binary system that created the gravity radiation signal. We describe the use of the Gibbs sampler method, and present examples whereby signals are detected and analyzed from within noisy data.
Effect of in-medium parameters of rho meson in its photoproduction reactions on nuclei
Das, Swapan
2015-01-01T23:59:59.000Z
There exist model calculations showing the modification of the hadronic parameters of $\\rho$ meson in the nuclear environment. From these parameters, we extract the $\\rho$ meson nucleus optical potential and show the medium effect due to this potential on the $\\rho$ meson mass distribution spectra in the photonuclear reaction. The calculated results reproduced reasonably the measured $e^+e^-$ invariant mass, i.e., $\\rho$ meson mass, distribution spectra in the $( \\gamma, \\rho^0 \\to e^+e^- )$ reaction on nuclei.
Effect of in-medium parameters of rho meson in its photoproduction reactions on nuclei
Swapan Das
2015-04-24T23:59:59.000Z
There exist model calculations showing the modification of the hadronic parameters of $\\rho$ meson in the nuclear environment. From these parameters, we extract the $\\rho$ meson nucleus optical potential and show the medium effect due to this potential on the $\\rho$ meson mass distribution spectra in the photonuclear reaction. The calculated results reproduced reasonably the measured $e^+e^-$ invariant mass, i.e., $\\rho$ meson mass, distribution spectra in the $( \\gamma, \\rho^0 \\to e^+e^- )$ reaction on nuclei.
Calculated fuel temperatures for a proposed space based reactor using the lumped parameter method
Steen, Celeste Marie
1990-01-01T23:59:59.000Z
CALCULATED FUEL TEMPERATURES FOR A PROPOSED SPACE BASED REACTOR USING THE LUMPED PARAMETER METHOD A Thesis by CELESTE MARIE STEEN Submitted to the Office of Graduate Studies of Texas AgcM University in partial fulfillment of the requirements... f' or the degree of MASTER OF SCIENCE December 1990 Major Subject: Nuclear Engineering CALCULATED FUEL TEMPERATURES FOR A PROPOSED SPACE BASED REACTOR USING THE LUMPED PARAMETER METHOD A Thesis by CELESTE MARIE STEEiV Approved as to style...
Determination of useful performance parameters for the ALR8(SI) plutonium pit container system
Pierce, Mark Alan
2000-01-01T23:59:59.000Z
DETERMINATION OF USEFUL PERFORMANCE PARAMETERS FOR THE ALRS(SI) PLUTONIUM PIT CONTAINER SYSTEM A Thesis by MARK ALAN PIERCE Submitted to the Office of Cnaduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE December 2000 Major Subject: Industrial Hygiene DETERMINATION OF USEFUL PERFORMANCE PARAMETERS FOR THE ALRS(SI) PLUTONIUM PIT CONTAINER SYSTEM A Thesis by MARK ALAN PIERCE Submitted to the Office of Graduate Studies...
Investigation of lane occupancy as a freeway control parameter for use during incident conditions
Friebele, John Duncan
1972-01-01T23:59:59.000Z
freeway safety warning device, using critical occupancy parameters, was developed and simulated in real-time. Evaluation of the simulated operation of the device revealed. that relia'cle detection of shock waves generated by freeway incidents... Detection of Shock Waves Page 38 Sensitivity of Occupancy Measurements 38 Occupancy Differential Concept Determination of' Occupancy D"' fzerence Parameters Det, ection of Shock Waves 41 RESULTS Critical Occupancy Concept Determination of Critical...
Estimation of the parameters of the Weibull distribution from multi-censored samples
Sprinkle, Edgar Eugene
1969-01-01T23:59:59.000Z
ESTIMATION OF THE PARAMETERS OF THE WEIBULL DISTRIBUTION FROM MULTI-CENSORED SAMPLES A Thesis by EDGAR EUGENE SPRINKLE, III Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree... of MASTER OF SCIENCE May 1969 Major Subject: Statistics ESTIMATION OF THE PARAMETERS OF THE WEIBULL DISTRIBUTION FROM MULTI-CENSORED SAMPLES A Thesis EDGAR EUGENE SPRINKLE, III Approved as to style and content by: (Head of Department) (Member...
Optimization of Operating Parameters for Minimum Mechanical Specific Energy in Drilling
Hamrick, Todd
2011-05-25T23:59:59.000Z
Efficiency in drilling is measured by Mechanical Specific Energy (MSE). MSE is the measure of the amount of energy input required to remove a unit volume of rock, expressed in units of energy input divided by volume removed. It can be expressed mathematically in terms of controllable parameters; Weight on Bit, Torque, Rate of Penetration, and RPM. It is well documented that minimizing MSE by optimizing controllable factors results in maximum Rate of Penetration. Current methods for computing MSE make it possible to minimize MSE in the field only through a trial-and-error process. This work makes it possible to compute the optimum drilling parameters that result in minimum MSE. The parameters that have been traditionally used to compute MSE are interdependent. Mathematical relationships between the parameters were established, and the conventional MSE equation was rewritten in terms of a single parameter, Weight on Bit, establishing a form that can be minimized mathematically. Once the optimum Weight on Bit was determined, the interdependent relationship that Weight on Bit has with Torque and Penetration per Revolution was used to determine optimum values for those parameters for a given drilling situation. The improved method was validated through laboratory experimentation and analysis of published data. Two rock types were subjected to four treatments each, and drilled in a controlled laboratory environment. The method was applied in each case, and the optimum parameters for minimum MSE were computed. The method demonstrated an accurate means to determine optimum drilling parameters of Weight on Bit, Torque, and Penetration per Revolution. A unique application of micro-cracking is also presented, which demonstrates that rock failure ahead of the bit is related to axial force more than to rotation speed.
Construction of a driver-vehicle model and identification of the driver model parameters
Su, Jemeng
1981-01-01T23:59:59.000Z
CONSTRUCTION OF A DRIVER-VEHICLE MODEL AND IDENTIFICATION OF THE DRIVER MODEL PARAMETERS A Thesis by , JEMENG SU Submitted to the Graduate College of Texas A8M University in partial fulfillment of the requiremr nt for the degree of MASTER... OF SCIENCE December 1981 Major Subject: Mechanical Engineering CONSTRUCTION OF A DRIVER-VEHICLE MODEL AND IDENTIFICATION OF THE DRIVER MODEL PARAMETERS A Thesis by JEMENG SU Approved as to style and content by: (Chairman of Committe ) / I...
Nondestructive evaluation of distributed damage in graphite/epoxy beams using modal parameters
Kim, Young Ik
1989-01-01T23:59:59.000Z
NONDESTRUCTIVE EVALUATIOV OF DISTRIBUTED DAMAGE IN GRAPHITE/EPOXY BEAMS USING MODAL PARAMETERS A Thesis YOUNG IK KIM Submitted to the Office of Graduate Studies of Texas AkM University in partial fulfillment of the requirement for the degree... of ItIASTER OF SCIEVCE August 1989 Major Subject: Aerospace Engineering NONDESTRI. 'CTIVE EVALUATION OF DISTRIBUTED DAMAGE IN GRAPHITE/EPOXY BEAMS USING MODAL PARAMETERS A Thesis by YOUNG IK KIM Approved as to style and content by: Duane R...
GIS modeling of the geomorphic parameters on avalanche pathways: Telluride, Colorado
Mendoza, Armando V
1997-01-01T23:59:59.000Z
GIS MODELING OF THE GEOMORPHIC PARAMETERS ON AVALANCHE PATHWAYS: TELLURIDE, COLORADO A Thesis by ARMANDO V. MENDOZA Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree... of MASTER OF SCIENCE December 1997 Major Subject: Geography GIS MODELING OF THE GEOMORPHIC PARAMETERS ON AVALANCHE PATHRAYS: TELLURIDE, COLORADO A Thesis by ARMANDO V. MENDOZA Submitted to Texas A&M University in partial fulfillment...
Der Tatevasion, Thomas John
1981-01-01T23:59:59.000Z
USE OF PARAMETER ADJUSTI4IENT TECHNIQUES IN THE SIMULATION OF A 11ULTI-ECHELON INVENTORY/DISTRIBUTION SYSTEM A Thesis by THOMAS JOHN DER TATEVASION Submitted to the Graduate College of Texas ARM University in partial fulfillment... of the requirement for the degree of MASTER OF SCIENCE August 1981 Major Subject: Industrial Engineering USE OF PARAMETER ADJUSTMENT TECHNIQUES IN THE SIMULATION OF A MULTI-ECHELOI'I INVENTORY/DISTRIBUTION SYSTEM A Thes1s by THOMAS JOHN DER TATEVASION...
Cheng, C. L.; Gragg, M. J.; Perfect, E.; White, Mark D.; Lemiszki, P. J.; McKay, L. D.
2013-08-24T23:59:59.000Z
Numerical simulations are widely used in feasibility studies for geologic carbon sequestration. Accurate estimates of petrophysical parameters are needed as inputs for these simulations. However, relatively few experimental values are available for CO2-brine systems. Hence, a sensitivity analysis was performed using the STOMP numerical code for supercritical CO2 injected into a model confined deep saline aquifer. The intrinsic permeability, porosity, pore compressibility, and capillary pressure-saturation/relative permeability parameters (residual liquid saturation, residual gas saturation, and van Genuchten alpha and m values) were varied independently. Their influence on CO2 injection rates and costs were determined and the parameters were ranked based on normalized coefficients of variation. The simulations resulted in differences of up to tens of millions of dollars over the life of the project (i.e., the time taken to inject 10.8 million metric tons of CO2). The two most influential parameters were the intrinsic permeability and the van Genuchten m value. Two other parameters, the residual gas saturation and the residual liquid saturation, ranked above the porosity. These results highlight the need for accurate estimates of capillary pressure-saturation/relative permeability parameters for geologic carbon sequestration simulations in addition to measurements of porosity and intrinsic permeability.
Optimal quantum multi-parameter estimation and application to dipole- and exchange-coupled qubits
Kevin C. Young; Mohan Sarovar; Robert Kosut; K. Birgitta Whaley
2009-06-04T23:59:59.000Z
We consider the problem of quantum multi-parameter estimation with experimental constraints and formulate the solution in terms of a convex optimization. Specifically, we outline an efficient method to identify the optimal strategy for estimating multiple unknown parameters of a quantum process and apply this method to a realistic example. The example is two electron spin qubits coupled through the dipole and exchange interactions with unknown coupling parameters -- explicitly, the position vector relating the two qubits and the magnitude of the exchange interaction are unknown. This coupling Hamiltonian generates a unitary evolution which, when combined with arbitrary single-qubit operations, produces a universal set of quantum gates. However, the unknown parameters must be known precisely to generate high-fidelity gates. We use the Cram\\'er-Rao bound on the variance of a point estimator to construct the optimal series of experiments to estimate these free parameters, and present a complete analysis of the optimal experimental configuration. Our method of transforming the constrained optimal parameter estimation problem into a convex optimization is powerful and widely applicable to other systems.
the LIGO Scientific Collaboration; the Virgo Collaboration; J. Aasi; J. Abadie; B. P. Abbott; R. Abbott; T. D. Abbott; M. Abernathy; T. Accadia; F. Acernese; C. Adams; T. Adams; P. Addesso; R. Adhikari; C. Affeldt; M. Agathos; K. Agatsuma; P. Ajith; B. Allen; A. Allocca; E. Amador Ceron; D. Amariutei; S. B. Anderson; W. G. Anderson; K. Arai; M. C. Araya; S. Ast; S. M. Aston; P. Astone; D. Atkinson; P. Aufmuth; C. Aulbert; B. E. Aylott; S. Babak; P. Baker; G. Ballardin; S. Ballmer; Y. Bao; J. C. B. Barayoga; D. Barker; F. Barone; B. Barr; L. Barsotti; M. Barsuglia; M. A. Barton; I. Bartos; R. Bassiri; M. Bastarrika; A. Basti; J. Batch; J. Bauchrowitz; Th. S. Bauer; M. Bebronne; D. Beck; B. Behnke; M. Bejger; M. G. Beker; A. S. Bell; C. Bell; I. Belopolski; M. Benacquista; J. M. Berliner; A. Bertolini; J. Betzwieser; N. Beveridge; P. T. Beyersdorf; T. Bhadbade; I. A. Bilenko; G. Billingsley; J. Birch; R. Biswas; M. Bitossi; M. A. Bizouard; E. Black; J. K. Blackburn; L. Blackburn; D. Blair; B. Bland; M. Blom; O. Bock; T. P. Bodiya; C. Bogan; C. Bond; R. Bondarescu; F. Bondu; L. Bonelli; R. Bonnand; R. Bork; M. Born; V. Boschi; S. Bose; L. Bosi; B. Bouhou; S. Braccini; C. Bradaschia; P. R. Brady; V. B. Braginsky; M. Branchesi; J. E. Brau; J. Breyer; T. Briant; D. O. Bridges; A. Brillet; M. Brinkmann; V. Brisson; M. Britzger; A. F. Brooks; D. A. Brown; T. Bulik; H. J. Bulten; A. Buonanno; J. Burguet--Castell; D. Buskulic; C. Buy; R. L. Byer; L. Cadonati; G. Cagnoli; E. Calloni; J. B. Camp; P. Campsie; K. Cannon; B. Canuel; J. Cao; C. D. Capano; F. Carbognani; L. Carbone; S. Caride; S. Caudill; M. Cavaglià; F. Cavalier; R. Cavalieri; G. Cella; C. Cepeda; E. Cesarini; T. Chalermsongsak; P. Charlton; E. Chassande-Mottin; W. Chen; X. Chen; Y. Chen; A. Chincarini; A. Chiummo; H. S. Cho; J. Chow; N. Christensen; S. S. Y. Chua; C. T. Y. Chung; S. Chung; G. Ciani; F. Clara; D. E. Clark; J. A. Clark; J. H. Clayton; F. Cleva; E. Coccia; P. -F. Cohadon; C. N. Colacino; A. Colla; M. Colombini; A. Conte; R. Conte; D. Cook; T. R. Corbitt; M. Cordier; N. Cornish; A. Corsi; C. A. Costa; M. Coughlin; J. -P. Coulon; P. Couvares; D. M. Coward; M. Cowart; D. C. Coyne; J. D. E. Creighton; T. D. Creighton; A. M. Cruise; A. Cumming; L. Cunningham; E. Cuoco; R. M. Cutler; K. Dahl; M. Damjanic; S. L. Danilishin; S. D'Antonio; K. Danzmann; V. Dattilo; B. Daudert; H. Daveloza; M. Davier; E. J. Daw; T. Dayanga; R. De Rosa; D. DeBra; G. Debreczeni; J. Degallaix; W. Del Pozzo; T. Dent; V. Dergachev; R. DeRosa; S. Dhurandhar; L. Di Fiore; A. Di Lieto; I. Di Palma; M. Di Paolo Emilio; A. Di Virgilio; M. Díaz; A. Dietz; F. Donovan; K. L. Dooley; S. Doravari; S. Dorsher; M. Drago; R. W. P. Drever; J. C. Driggers; Z. Du; J. -C. Dumas; S. Dwyer; T. Eberle; M. Edgar; M. Edwards; A. Effler; P. Ehrens; G. Endröczi; R. Engel; T. Etzel; K. Evans; M. Evans; T. Evans; M. Factourovich; V. Fafone; S. Fairhurst; B. F. Farr; W. M. Farr; M. Favata; D. Fazi; H. Fehrmann; D. Feldbaum; F. Feroz; I. Ferrante; F. Ferrini; F. Fidecaro; L. S. Finn; I. Fiori; R. P. Fisher; R. Flaminio; S. Foley; E. Forsi; L. A. Forte; N. Fotopoulos; J. -D. Fournier; J. Franc; S. Franco; S. Frasca; F. Frasconi; M. Frede; M. A. Frei; Z. Frei; A. Freise; R. Frey; T. T. Fricke; D. Friedrich; P. Fritschel; V. V. Frolov; M. -K. Fujimoto; P. J. Fulda; M. Fyffe; J. Gair; M. Galimberti; L. Gammaitoni; J. Garcia; F. Garufi; M. E. Gáspár; G. Gelencser; G. Gemme; E. Genin; A. Gennai; L. Á. Gergely; S. Ghosh; J. A. Giaime; S. Giampanis; K. D. Giardina; A. Giazotto; S. Gil-Casanova; C. Gill; J. Gleason; E. Goetz; G. González; M. L. Gorodetsky; S. Goßler; R. Gouaty; C. Graef; P. B. Graff; M. Granata; A. Grant; C. Gray; R. J. S. Greenhalgh; A. M. Gretarsson; C. Griffo; H. Grote; K. Grover; S. Grunewald; G. M. Guidi; C. Guido; R. Gupta; E. K. Gustafson; R. Gustafson; J. M. Hallam; D. Hammer; G. Hammond; J. Hanks; C. Hanna; J. Hanson; J. Harms; G. M. Harry; I. W. Harry; E. D. Harstad; M. T. Hartman; C. -J. Haster; K. Haughian; K. Hayama; J. -F. Hayau; J. Heefner; A. Heidmann; M. C. Heintze; H. Heitmann; P. Hello; G. Hemming; M. A. Hendry; I. S. Heng; A. W. Heptonstall; V. Herrera; M. Heurs; M. Hewitson; S. Hild; D. Hoak; K. A. Hodge; K. Holt; M. Holtrop; T. Hong; S. Hooper; J. Hough; E. J. Howell; B. Hughey; S. Husa; S. H. Huttner; T. Huynh-Dinh; D. R. Ingram; R. Inta; T. Isogai; A. Ivanov; K. Izumi; M. Jacobson; E. James; Y. J. Jang; P. Jaranowski; E. Jesse; W. W. Johnson; D. I. Jones; R. Jones; R. J. G. Jonker; L. Ju; P. Kalmus; V. Kalogera; S. Kandhasamy; G. Kang; J. B. Kanner; M. Kasprzack; R. Kasturi; E. Katsavounidis; W. Katzman; H. Kaufer; K. Kaufman; K. Kawabe; S. Kawamura; F. Kawazoe; D. Keitel; D. Kelley; W. Kells; D. G. Keppel; Z. Keresztes; A. Khalaidovski; F. Y. Khalili; E. A. Khazanov; B. K. Kim; C. Kim; H. Kim; K. Kim; N. Kim; Y. M. Kim; P. J. King
2013-10-22T23:59:59.000Z
Compact binary systems with neutron stars or black holes are one of the most promising sources for ground-based gravitational wave detectors. Gravitational radiation encodes rich information about source physics; thus parameter estimation and model selection are crucial analysis steps for any detection candidate events. Detailed models of the anticipated waveforms enable inference on several parameters, such as component masses, spins, sky location and distance that are essential for new astrophysical studies of these sources. However, accurate measurements of these parameters and discrimination of models describing the underlying physics are complicated by artifacts in the data, uncertainties in the waveform models and in the calibration of the detectors. Here we report such measurements on a selection of simulated signals added either in hardware or software to the data collected by the two LIGO instruments and the Virgo detector during their most recent joint science run, including a "blind injection" where the signal was not initially revealed to the collaboration. We exemplify the ability to extract information about the source physics on signals that cover the neutron star and black hole parameter space over the individual mass range 1 Msun - 25 Msun and the full range of spin parameters. The cases reported in this study provide a snap-shot of the status of parameter estimation in preparation for the operation of advanced detectors.
Determination of crack morphology parameters from service failures for leak-rate analyses
Wilkowski, G.; Ghadiali, N.; Paul, D. [Battelle Memorial Institute, Columbus, OH (United States)] [and others
1997-04-01T23:59:59.000Z
In leak-rate analyses described in the literature, the crack morphology parameters are typically not well agreed upon by different investigators. This paper presents results on a review of crack morphology parameters determined from examination of service induced cracks. Service induced cracks were found to have a much more tortuous flow path than laboratory induced cracks due to crack branching associated with the service induced cracks. Several new parameters such as local and global surface roughnesses, as well as local and global number of turns were identified. The effect of each of these parameters are dependent on the crack-opening displacement. Additionally, the crack path is typically assumed to be straight through the pipe thickness, but the service data show that the flow path can be longer due to the crack following a fusion line, and/or the number of turns, where the number of turns in the past were included as a pressure drop term due to the turns, but not the longer flow path length. These parameters were statistically evaluated for fatigue cracks in air, corrosion-fatigue, IGSCC, and thermal fatigue cracks. A refined version of the SQUIRT leak-rate code was developed to account for these variables. Sample calculations are provided in this paper that show how the crack size can vary for a given leak rate and the statistical variation of the crack morphology parameters.
Parameter Estimation of Gravitational Waves from Precessing BH-NS Inspirals with higher harmonics
R. O'Shaughnessy; B. Farr; E. Ochsner; H. S. Cho; V. Raymond; C. Kim; C. H. Lee
2014-04-11T23:59:59.000Z
Precessing black hole-neutron star (BH-NS) binaries produce a rich gravitational wave signal, encoding the binary's nature and inspiral kinematics. Using the lalinference\\_mcmc Markov-chain Monte Carlo parameter estimation code, we use two fiducial examples to illustrate how the geometry and kinematics are encoded into the modulated gravitational wave signal, using coordinates well-adapted to precession. Even for precessing binaries, we show the performance of detailed parameter estimation can be estimated by "effective" estimates: comparisons of a prototype signal with its nearest neighbors, adopting a fixed sky location and idealized two-detector network. We use detailed and effective approaches to show higher harmonics provide nonzero but small local improvement when estimating the parameters of precessing BH-NS binaries. That said, we show higher harmonics can improve parameter estimation accuracy for precessing binaries ruling out approximately-degenerate source orientations. Our work illustrates quantities gravitational wave measurements can provide, such as reliable component masses and the precise orientation of a precessing short gamma ray burst progenitor relative to the line of sight. "Effective" estimates may provide a simple way to estimate trends in the performance of parameter estimation for generic precessing BH-NS binaries in next-generation detectors. For example, our results suggest that the orbital chirp rate, precession rate, and precession geometry are roughly-independent observables, defining natural variables to organize correlations in the high-dimensional BH-NS binary parameter space.
CONTINUOSLY STIRRED TANK REACTOR PARAMETERS THAT AFFECT SLUDGE BATCH 6 SIMULANT PROPERTIES
Newell, J.; Lambert, D.; Stone, M.; Fernandez, A.
2010-05-28T23:59:59.000Z
The High Level Radioactive Waste (HLW) Sludge in Savannah River Site (SRS) waste tanks was produced over a period of over 60 years by neutralizing the acidic waste produced in the F and H Separations Canyons with sodium hydroxide. The HLW slurries have been stored at free hydroxide concentrations above 1 M to minimize the corrosion of the carbon steel waste tanks. Sodium nitrite is periodically added as a corrosion inhibitor. The resulting waste has been subjected to supernate evaporation to minimize the volume of the stored waste. In addition, some of the waste tanks experienced high temperatures so some of the waste has been at elevated temperatures. Because the waste is radioactive, the waste is transforming through the decay of shorter lived radioactive species and the radiation damage that the decay releases. The goal of the Savannah River National Laboratory (SRNL) simulant development program is to develop a method to produce a sludge simulant that matches both the chemical and physical characteristics of the HLW without the time, temperature profile, chemical or radiation exposure of that of the real waste. Several different approaches have been taken historically toward preparing simulated waste slurries. All of the approaches used in the past dozen years involve some precipitation of the species using similar chemistry to that which formed the radioactive waste solids in the tank farm. All of the approaches add certain chemical species as commercially available insoluble solid compounds. The number of species introduced in this manner, however, has varied widely. All of the simulant preparation approaches make the simulated aqueous phase by adding the appropriate ratios of various sodium salts. The simulant preparation sequence generally starts with an acidic pH and ends up with a caustic pH (typically in the 10-12 range). The current method for making sludge simulant involves the use of a temperature controlled continuously stirred tank reactor (CSTR). Precipitated MnO{sub 2} is combined with metal nitrates and fed into the CSTR. The metals are precipitated by a caustic NaOH stream. The rates at which these streams are added allows for pH adjustment of the mixture. A graphical representation of this process is given in Figure 1. In using the CSTR method for developing simulant, there are various parameters that can be adjusted in order to effectuate a physical change in the resulting simulant: pH, temperature, mixing speed, and flow rate. How will changing these parameters affect the physical properties of the sludge simulant? The ability to determine which parameter affects a particular property could allow one to develop a simulant that would better match the physical characteristics of HLW sludge.
Li, Taoran; Wu, Qiuwen; Zhang, You; Vergalasova, Irina; Lee, W. Robert; Yin, Fang-Fang; Wu, Q. Jackie [Duke Medical Physics Graduate Program, Duke University, Durham, North Carolina 27705 and Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27710 (United States)] [Duke Medical Physics Graduate Program, Duke University, Durham, North Carolina 27705 and Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27710 (United States)
2013-11-15T23:59:59.000Z
Purpose: Adaptive radiation therapy for prostate cancer using online reoptimization provides an improved control of interfractional anatomy variations. However, the clinical implementation of online reoptimization is currently limited by the low efficiency of current strategies and the difficulties associated with integration into the current treatment planning system. This study investigates the strategies for performing fast (?2 min) automatic online reoptimization with a clinical fluence-map-based treatment planning system; and explores the performance with different input parameters settings: dose-volume histogram (DVH) objective settings, starting stage, and iteration number (in the context of real time planning).Methods: Simulated treatments of 10 patients were reoptimized daily for the first week of treatment (5 fractions) using 12 different combinations of optimization strategies. Options for objective settings included guideline-based RTOG objectives, patient-specific objectives based on anatomy on the planning CT, and daily-CBCT anatomy-based objectives adapted from planning CT objectives. Options for starting stages involved starting reoptimization with and without the original plan's fluence map. Options for iteration numbers were 50 and 100. The adapted plans were then analyzed by statistical modeling, and compared both in terms of dosimetry and delivery efficiency.Results: All online reoptimized plans were finished within ?2 min with excellent coverage and conformity to the daily target. The three input parameters, i.e., DVH objectives, starting stage, and iteration number, contributed to the outcome of optimization nearly independently. Patient-specific objectives generally provided better OAR sparing compared to guideline-based objectives. The benefit in high-dose sparing from incorporating daily anatomy into objective settings was positively correlated with the relative change in OAR volumes from planning CT to daily CBCT. The use of the original plan fluence map as the starting stage reduced OAR dose at the mid-dose region, but increased the monitor units by 17%. Differences of only 2cc or less in OAR V50%/V70Gy/V76Gy were observed between 100 and 50 iterations.Conclusions: It is feasible to perform automatic online reoptimization in ?2 min using a clinical treatment planning system. Selecting optimal sets of input parameters is the key to achieving high quality reoptimized plans, and should be based on the individual patient's daily anatomy, delivery efficiency, and time allowed for plan adaptation.
El-Desoky, M.M., E-mail: mmdesoky@gmail.com [Department of Physics, Faculty of Education, Suez Canal University, Al-Arish 45511, North Sinaa (Egypt); Ibrahim, F.A. [Department of Physics, Faculty of Education, Suez Canal University, Al-Arish 45511, North Sinaa (Egypt)] [Department of Physics, Faculty of Education, Suez Canal University, Al-Arish 45511, North Sinaa (Egypt); Mostafa, A.G.; Hassaan, M.Y. [Department of Physics, Faculty of Science, Al-Azhar University, Nasr City 11884, Cairo (Egypt)] [Department of Physics, Faculty of Science, Al-Azhar University, Nasr City 11884, Cairo (Egypt)
2010-09-15T23:59:59.000Z
Selected glasses of Fe{sub 2}O{sub 3}-PbO{sub 2}-Bi{sub 2}O{sub 3} system have been transformed into nanomaterials by annealing at temperature close to crystallization temperature (T{sub c}) for 1 h. The effects of the annealing of the present samples on its structural and electrical properties were studied by Moessbauer spectroscopy, transmission electron micrograph (TEM), differential scanning calorimeter (DSC) and dc conductivity ({sigma}). Moessbauer spectroscopy was used in order to determine the states of iron and its hyperfine structure. The effect of nanocrystalization on the Moessbauer hyperfine parameters did not exhibit significant modifications in present glasses. However, in case of glass ceramic nanocrystals show a distinct decrease in the quadrupole splitting ({Delta}) is observed, reflecting an evident decrease in the distortion of structural units like FeO{sub 4} units. In general, the Moessbauer parameters of the nano-crystalline phase exhibit tendency to increase with PbO{sub 2} content. TEM of as-quenched glasses confirm the homogeneous and essentially featureless morphology. TEM of the corresponding glass ceramic nanocrystals indicates nanocrystals embedded in the glassy matrix with average particle size of about 32 nm. The crystallization temperature (T{sub c}) was observed to decrease with PbO{sub 2} content. The glass ceramic nanocrystals obtained by annealing at T{sub c} exhibit improvement of electrical conductivity up to four orders of magnitude than the starting glasses. This considerable improvement of electrical conductivity after nanocrystallization is attributed to formation of defective, well-conducting phases 'easy conduction paths' along the glass-crystallites interfaces.
Klencsár, Zoltán, E-mail: z.klencsar@mosswinn.hu [Pitvar u. 11., Budapest 1141 (Hungary)
2014-10-27T23:59:59.000Z
Accurate quantitative analysis of Mössbauer spectra displaying thickness effects requires the consideration of the so-called transmission integral when modeling the spectral shape. Whereas this is straightforward when the correct model for the decomposition of the absorber's nuclear resonance absorption cross-section into individual components is a priori known, in the absence of such knowledge and notably in the presence of hyperfine parameter distributions with an unknown profile, the so-called model-independent evaluation methods could be used to fit the spectra. However, the methods available for this purpose were developed for the analysis of spectra for which the thin absorber approximation is valid, and thus they do not take the sample thickness and related effects into account. Consequently, in order to use them for spectra displaying thickness effects, their usage needs to be generalized by combining them with transmission integral fitting. A new algorithm realizing such a generalized version of the Hesse-Rübartsch model-independent evaluation method was developed recently as an integral part of the MossWinn program. In the present work, the working principle of the newly developed algorithm is described in details along with examples illustrating the capabilities of the method for the case of {sup 57}Fe Mössbauer spectroscopy.
Development of High Resolution Land Surface Parameters for the Community Land Model
Ke, Yinghai; Leung, Lai-Yung R.; Huang, Maoyi; Coleman, Andre M.; Li, Hongyi; Wigmosta, Mark S.
2012-11-06T23:59:59.000Z
There is a growing need for high-resolution land surface parameters as land surface models are being applied at increasingly higher spatial resolution offline as well as in regional and global models. The default land surface parameters for the most recent version of the Community Land Model (i.e. CLM 4.0) are at 0.5° or coarser resolutions, released with the Community Earth System Model (CESM). Plant Functional Types (PFTs), vegetation properties such as Leaf Area Index (LAI), Stem Area Index (SAI), and non-vegetated land covers were developed using remotely sensed datasets retrieved in late 1990’s and the beginning of this century. In this study, we developed new land surface parameters for CLM 4.0, specifically PFTs, LAI, SAI and non-vegetated land cover composition, at 0.05° resolution globally based on the most recent MODIS land cover and improved MODIS LAI products. Compared to the current CLM 4.0 parameters, the new parameters produced a decreased coverage by bare soil and trees, but an increased coverage by shrub, grass, and cropland. The new parameters result in a decrease in global seasonal LAI, with the biggest decrease in boreal forests; however, the new parameters also show a large increase in LAI in tropical forest. Differences between the new and the current parameters are mainly caused by changes in the sources of remotely sensed data and the representation of land cover in the source data. Advantages and disadvantages of each dataset were discussed in order to provide guidance on the use of the data. The new high-resolution land surface parameters have been used in a coupled land-atmosphere model (WRF-CLM) applied to the western U.S. to demonstrate their use in high-resolution modeling. A remapping method from the latitude/longitude grid of the CLM data to the WRF grids with map projection was also demonstrated. Future work will include global offline CLM simulations to examine the impacts of source data resolution and subsequent land parameter changes on simulated land surface processes.
The diagnostic capability of x-ray scattering parameters for the characterization of breast cancer
Elshemey, Wael M.; Desouky, Omar S.; Fekry, Mostafa M.; Talaat, Sahar M.; Elsayed, Anwar A. [Department of Biophysics, Faculty of Science, Cairo University, Giza 12613 (Egypt); Department of Radiation Physics, National Centre for Radiation Research and Technology, Madinet Nasr 13759 (Egypt); Department of Biophysics, Faculty of Science, Cairo University, Giza 12613 (Egypt); Department of Pathology, Faculty of Medicine, Cairo University, Cairo 11559 (Egypt); Department of Biophysics, Faculty of Science, Cairo University, Giza 12613 (Egypt)
2010-08-15T23:59:59.000Z
Purpose: The evaluation of the diagnostic capability of easy to measure x-ray scattering profile characterization parameters for the detection of breast cancer in excised samples. The selected parameters are the full width at half maximum (FWHM) and area under the x-ray scattering profile of breast tissue in addition to the ratio of scattering intensities (I{sub 2}/I{sub 1}%) at 1.6 nm{sup -1} to that at 1.1 nm{sup -1} (corresponding to scattering from soft and adipose tissues, respectively). Methods: A histopathologist is asked to classify 36 excised breast tissue samples into healthy or malignant. A conventional x-ray diffractometer is used to acquire the scattering profiles of the investigated samples. The values of three profile characterization parameters are calculated and the diagnostic capability of each is evaluated by determining the optimal cutoffs of scatter diagrams, calculating the diagnostic indices, and plotting the receiver operating characteristic (ROC) curves. Results: At the calculated optimal cutoff for each of the examined parameters, the sensitivity ranged from 78% (for area under curve) up to 94% (for FWHM), the specificity ranged from 94%[for I{sub 2}/I{sub 1}% and area under curve] up to 100% (for FWHM), and the diagnostic accuracy ranged from 86% (for area under curve) up to 97% (for FWHM). The area under the ROC curves is greater than 0.95 for all of the investigated parameters, reflecting a highly accurate diagnostic performance. Conclusions: The discussed tests offered a means to quantitatively evaluate the performance of the suggested breast tissue x-ray scattering characterization parameters. The performance results are promising, indicating that the evaluated parameters would be considered a tool for fast, on spot probing of breast cancer in excised tissue samples.
C. Pankow; P. Brady; E. Ochsner; R. O'Shaughnessy
2015-02-15T23:59:59.000Z
We introduce a highly-parallelizable architecture for estimating parameters of compact binary coalescence using gravitational-wave data and waveform models. Using a spherical harmonic mode decomposition, the waveform is expressed as a sum over modes that depend on the intrinsic parameters (e.g. masses) with coefficients that depend on the observer dependent extrinsic parameters (e.g. distance, sky position). The data is then prefiltered against those modes, at fixed intrinsic parameters, enabling efficiently evaluation of the likelihood for generic source positions and orientations, independent of waveform length or generation time. We efficiently parallelize our intrinsic space calculation by integrating over all extrinsic parameters using a Monte Carlo integration strategy. Since the waveform generation and prefiltering happens only once, the cost of integration dominates the procedure. Also, we operate hierarchically, using information from existing gravitational-wave searches to identify the regions of parameter space to emphasize in our sampling. As proof of concept and verification of the result, we have implemented this algorithm using standard time-domain waveforms, processing each event in less than one hour on recent computing hardware. For most events we evaluate the marginalized likelihood (evidence) with statistical errors of less than about 5%, and even smaller in many cases. With a bounded runtime independent of the waveform model starting frequency, a nearly-unchanged strategy could estimate NS-NS parameters in the 2018 advanced LIGO era. Our algorithm is usable with any noise curve and existing time-domain model at any mass, including some waveforms which are computationally costly to evolve.
WHEELER, TIMOTHY A.; WYSS, GREGORY D.; HARPER, FREDERICK T.
2000-11-01T23:59:59.000Z
Uncertainty distributions for specific parameters of the Cassini General Purpose Heat Source Radioisotope Thermoelectric Generator (GPHS-RTG) Final Safety Analysis Report consequence risk analysis were revised and updated. The revisions and updates were done for all consequence parameters for which relevant information exists from the joint project on Probabilistic Accident Consequence Uncertainty Analysis by the United States Nuclear Regulatory Commission and the Commission of European Communities.
Zhao, Chun; Liu, Xiaohong; Qian, Yun; Yoon, Jin-Ho; Hou, Zhangshuan; Lin, Guang; McFarlane, Sally A.; Wang, Hailong; Yang, Ben; Ma, Po-Lun; Yan, Huiping; Bao, Jie
2013-11-08T23:59:59.000Z
In this study, we investigated the sensitivity of net radiative fluxes (FNET) at the top of atmosphere (TOA) to 16 selected uncertain parameters mainly related to the cloud microphysics and aerosol schemes in the Community Atmosphere Model version 5 (CAM5). We adopted a quasi-Monte Carlo (QMC) sampling approach to effectively explore the high dimensional parameter space. The output response variables (e.g., FNET) were simulated using CAM5 for each parameter set, and then evaluated using generalized linear model analysis. In response to the perturbations of these 16 parameters, the CAM5-simulated global annual mean FNET ranges from -9.8 to 3.5 W m-2 compared to the CAM5-simulated FNET of 1.9 W m-2 with the default parameter values. Variance-based sensitivity analysis was conducted to show the relative contributions of individual parameter perturbation to the global FNET variance. The results indicate that the changes in the global mean FNET are dominated by those of cloud forcing (CF) within the parameter ranges being investigated. The size threshold parameter related to auto-conversion of cloud ice to snow is confirmed as one of the most influential parameters for FNET in the CAM5 simulation. The strong heterogeneous geographic distribution of FNET variation shows parameters have a clear localized effect over regions where they are acting. However, some parameters also have non-local impacts on FNET variance. Although external factors, such as perturbations of anthropogenic and natural emissions, largely affect FNET variations at the regional scale, their impact is weaker than that of model internal parameters in terms of simulating global mean FNET in this study. The interactions among the 16 selected parameters contribute a relatively small portion of the total FNET variations over most regions of the globe. This study helps us better understand the CAM5 model behavior associated with parameter uncertainties, which will aid the next step of reducing model uncertainty via calibration of uncertain model parameters with the largest sensitivity.
Effects of breach formation parameter uncertainty on inundation risk area and consequence analysis
Skousen, Benjamin Don [Los Alamos National Laboratory; David, Judi [Los Alamos National Laboratory; Mc Pherson, Timothy [Los Alamos National Laboratory; Burian, Steve [UNIV OF UTAH
2010-01-01T23:59:59.000Z
According to the national inventory of dams (NID), there are approximately 79,500 dams in the United States, with 11,800 of these dams being classified as high-hazard. It has been recommended that each high-hazard dam in the United States have an emergency action plan (EAP), but it has been found that only about 60% of the high-hazard dams have a complete EAP. A major aspect of these plans is inundation risk area identification and associated impacts in the event of dam failure. In order to determine the inundation risk area an estimation of breach discharge must be completed. Most methods used to determine breach discharge, including the NWS-DAMBRK model, require modelers to select size, shape, and time of breach formation. Federal agencies (e.g. Bureau of Reclamation, Federal Energy Regulatory Commission) with oversight of U.S. dams have recommended ranges of values for each of these parameters based on dam type. However, variations in these parameters even within the recommended range have the potential to impose significant transformation on the discharge hydrograph relative to both timing and magnitude of the peak discharge. Therefore, it has also been recommended that sensitivity of these parameters be investigated when performing breach inundation analyses. This paper presents a sensitivity analysis of three breach parameters (average breach width, side slope, and time to failure) on a case study dam located in the United States. The sensitivity analysis employed was based on the 3{sup 3} factorial design, in which three levels (e.g. low, medium, and high) were selected for each of the three parameters, resulting in twenty-seven combinations. The three levels remained within the recommended range of values for each parameter type. With each combination of input parameters, a discharge hydrograph was generated and used as a source condition for inundation analysis using a two-dimensional shallow water equation model. The resulting simulations were compared to determine the sensitivity of flood inundation area, flood arrival time, peak flood depths, and socio-economic impacts (e.g. population at risk, direct and indirect economic loss) to changes in individual parameters and parameter interactions. Results and discussion from this sensitivity analysis will be presented in detail in the paper.
Varghese, Joshua
2011-08-02T23:59:59.000Z
constant (TC) have been developed. The axial strain TC is a parameter that is related to the viscoelastic and poroelastic behavior of tissues. Estimation of this parameter can be done using curve fitting methods. However, the effect of temporal...
Deng, Song
This thesis proposes and validates a simplified model appropriate for parameter identification and evaluates several different inverse parameter identification schemes suitable for use when heating and cooling data from a commercial building...
Deng, Song Jiu
1997-01-01T23:59:59.000Z
This thesis proposes and validates a simplified model appropriate for parameter identification and evaluates several different inverse parameter identification schemes suitable for use when heating and cooling data from a commercial building...
Subramanian, Venkat
of energy density. optimization of design parameters. such as implantable cardiovascular defibrillators (ICDs) to high power/high energy applications such as hybrid carsModel-based simultaneous optimization of multiple design parameters for lithium-ion batteries
Neural Network Based Modeling of a Large Steam Turbine-Generator Rotor Body Parameters from On technique to estimate and model rotor- body parameters of a large steam turbine-generator from real time
Mukhopadhyay, S.; Tsang, Y.; Finsterle, S.
2009-01-15T23:59:59.000Z
A simple conceptual model has been recently developed for analyzing pressure and temperature data from flowing fluid temperature logging (FFTL) in unsaturated fractured rock. Using this conceptual model, we developed an analytical solution for FFTL pressure response, and a semianalytical solution for FFTL temperature response. We also proposed a method for estimating fracture permeability from FFTL temperature data. The conceptual model was based on some simplifying assumptions, particularly that a single-phase airflow model was used. In this paper, we develop a more comprehensive numerical model of multiphase flow and heat transfer associated with FFTL. Using this numerical model, we perform a number of forward simulations to determine the parameters that have the strongest influence on the pressure and temperature response from FFTL. We then use the iTOUGH2 optimization code to estimate these most sensitive parameters through inverse modeling and to quantify the uncertainties associated with these estimated parameters. We conclude that FFTL can be utilized to determine permeability, porosity, and thermal conductivity of the fracture rock. Two other parameters, which are not properties of the fractured rock, have strong influence on FFTL response. These are pressure and temperature in the borehole that were at equilibrium with the fractured rock formation at the beginning of FFTL. We illustrate how these parameters can also be estimated from FFTL data.
Kauffmann, Jens; Pillai, Thushara [Astronomy Department, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125 (United States); Goldsmith, Paul F., E-mail: jens.kauffmann@astro.caltech.edu, E-mail: tpillai@astro.caltech.edu [Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Boulevard, Pasadena, CA 91109 (United States)
2013-12-20T23:59:59.000Z
Whether or not molecular clouds and embedded cloud fragments are stable against collapse is of utmost importance for the study of the star formation process. Only 'supercritical' cloud fragments are able to collapse and form stars. The virial parameter ? = M {sub vir}/M, which compares the virial mass to the actual mass, provides one way to gauge stability against collapse. Supercritical cloud fragments are characterized by ? ? 2, as indicated by a comprehensive stability analysis considering perturbations in pressure and density gradients. Past research has suggested that virial parameters ? ? 2 prevail in clouds. This would suggest that collapse toward star formation is a gradual and relatively slow process and that magnetic fields are not needed to explain the observed cloud structure. Here, we review a range of very recent observational studies that derive virial parameters <<2 and compile a catalog of 1325 virial parameter estimates. Low values of ? are in particular observed for regions of high-mass star formation (HMSF). These observations may argue for a more rapid and violent evolution during collapse. This would enable 'competitive accretion' in HMSF, constrain some models of 'monolithic collapse', and might explain the absence of high-mass starless cores. Alternatively, the data could point at the presence of significant magnetic fields ?1 mG at high gas densities. We examine to what extent the derived observational properties might be biased by observational or theoretical uncertainties. For a wide range of reasonable parameters, our conclusions appear to be robust with respect to such biases.
Ilya Mandel; Christopher P L Berry; Frank Ohme; Stephen Fairhurst; Will M Farr
2014-07-23T23:59:59.000Z
Gravitational-wave astronomy seeks to extract information about astrophysical systems from the gravitational-wave signals they emit. For coalescing compact-binary sources this requires accurate model templates for the inspiral and, potentially, the subsequent merger and ringdown. Models with frequency-domain waveforms that terminate abruptly in the sensitive band of the detector are often used for parameter-estimation studies. We show that the abrupt waveform termination contains significant information that affects parameter-estimation accuracy. If the sharp cutoff is not physically motivated, this extra information can lead to misleadingly good accuracy claims. We also show that using waveforms with a cutoff as templates to recover complete signals can lead to biases in parameter estimates. We evaluate when the information content in the cutoff is likely to be important in both cases. We also point out that the standard Fisher matrix formalism, frequently employed for approximately predicting parameter-estimation accuracy, cannot properly incorporate an abrupt cutoff that is present in both signals and templates; this observation explains some previously unexpected results found in the literature. These effects emphasize the importance of using complete waveforms with accurate merger and ringdown phases for parameter estimation.
100% MOX BWR experimental program design using multi-parameter representative
Blaise, P.; Fougeras, P.; Cathalau, S. [CEA, DEN, DER/SPRC, Cadarache F-13108 Saint Paul-Lez-Durance (France)
2012-07-01T23:59:59.000Z
A new multiparameter representative approach for the design of Advanced full MOX BWR core physics experimental programs is developed. The approach is based on sensitivity analysis of integral parameters to nuclear data, and correlations among different integral parameters. The representativeness method is here used to extract a quantitative relationship between a particular integral response of an experimental mock-up and the same response in a reference project to be designed. The study is applied to the design of the 100% MOX BASALA ABWR experimental program in the EOLE facility. The adopted scheme proposes an original approach to the problem, going from the initial 'microscopic' pin-cells integral parameters to the whole 'macroscopic' assembly integral parameters. This approach enables to collect complementary information necessary to optimize the initial design and to meet target accuracy on the integral parameters to be measured. The study has demonstrated the necessity of new fuel pins fabrication, fulfilling minimal costs requirements, to meet acceptable representativeness on local power distribution. (authors)
Direct Reservoir Parameter Estimation Using Joint Inversion ofMarine Seismic AVA&CSEM Data
Hoversten, G. Michael; Cassassuce, Florence; Gasperikova, Erika; Newman,Gregory A.; Rubin, Yoram; Zhangshuan, Hou; Vasco, Don
2005-01-12T23:59:59.000Z
A new joint inversion algorithm to directly estimate reservoir parameters is described. This algorithm combines seismic amplitude versus angle (AVA) and marine controlled source electromagnetic (CSEM) data. The rock-properties model needed to link the geophysical parameters to the reservoir parameters is described. Errors in the rock-properties model parameters, measured in percent, introduce errors of comparable size in the joint inversion reservoir parameter estimates. Tests of the concept on synthetic one-dimensional models demonstrate improved fluid saturation and porosity estimates for joint AVA-CSEM data inversion (compared to AVA or CSEM inversion alone). Comparing inversions of AVA, CSEM, and joint AVA-CSEM data over the North Sea Troll field, at a location with well control, shows that the joint inversion produces estimated gas saturation, oil saturation and porosity that is closest (as measured by the RMS difference, L1 norm of the difference, and net over the interval) to the logged values whereas CSEM inversion provides the closest estimates of water saturation.
Eifler, Tim; Krause, Elisabeth; Dodelson, Scott; Zentner, Andrew; Hearin, Andrew; Gnedin, Nickolay
2014-05-28T23:59:59.000Z
Systematic uncertainties that have been subdominant in past large-scale structure (LSS) surveys are likely to exceed statistical uncertainties of current and future LSS data sets, potentially limiting the extraction of cosmological information. Here we present a general framework (PCA marginalization) to consistently incorporate systematic effects into a likelihood analysis. This technique naturally accounts for degeneracies between nuisance parameters and can substantially reduce the dimension of the parameter space that needs to be sampled. As a practical application, we apply PCA marginalization to account for baryonic physics as an uncertainty in cosmic shear tomography. Specifically, we use CosmoLike to run simulated likelihood analyses on three independent sets of numerical simulations, each covering a wide range of baryonic scenarios differing in cooling, star formation, and feedback mechanisms. We simulate a Stage III (Dark Energy Survey) and Stage IV (Large Synoptic Survey Telescope/Euclid) survey and find a substantial bias in cosmological constraints if baryonic physics is not accounted for. We then show that PCA marginalization (employing at most 3 to 4 nuisance parameters) removes this bias. Our study demonstrates that it is possible to obtain robust, precise constraints on the dark energy equation of state even in the presence of large levels of systematic uncertainty in astrophysical processes. We conclude that the PCA marginalization technique is a powerful, general tool for addressing many of the challenges facing the precision cosmology program.
John Veitch; Vivien Raymond; Benjamin Farr; Will M. Farr; Philip Graff; Salvatore Vitale; Ben Aylott; Kent Blackburn; Nelson Christensen; Michael Coughlin; Walter Del Pozzo; Farhan Feroz; Jonathan Gair; Carl-Johan Haster; Vicky Kalogera; Tyson Littenberg; Ilya Mandel; Richard O'Shaughnessy; Matthew Pitkin; Carl Rodriguez; Christian Röver; Trevor Sidery; Rory Smith; Marc Van Der Sluys; Alberto Vecchio; Will Vousden; Leslie Wade
2015-02-16T23:59:59.000Z
The Advanced LIGO and Advanced Virgo gravitational wave (GW) detectors will begin operation in the coming years, with compact binary coalescence events a likely source for the first detections. The gravitational waveforms emitted directly encode information about the sources, including the masses and spins of the compact objects. Recovering the physical parameters of the sources from the GW observations is a key analysis task. This work describes the LALInference software library for Bayesian parameter estimation of compact binary signals, which builds on several previous methods to provide a well-tested toolkit which has already been used for several studies. We show that our implementation is able to correctly recover the parameters of compact binary signals from simulated data from the advanced GW detectors. We demonstrate this with a detailed comparison on three compact binary systems: a binary neutron star, a neutron star black hole binary and a binary black hole, where we show a cross-comparison of results obtained using three independent sampling algorithms. These systems were analysed with non-spinning, aligned spin and generic spin configurations respectively, showing that consistent results can be obtained even with the full 15-dimensional parameter space of the generic spin configurations. We also demonstrate statistically that the Bayesian credible intervals we recover correspond to frequentist confidence intervals under correct prior assumptions by analysing a set of 100 signals drawn from the prior. We discuss the computational cost of these algorithms, and describe the general and problem-specific sampling techniques we have used to improve the efficiency of sampling the compact binary coalescence parameter space.
Archisman Ghosh; Walter Del Pozzo; Parameswaran Ajith
2015-05-21T23:59:59.000Z
We characterize the expected statistical errors with which the parameters of black-hole binaries can be measured from gravitational-wave (GW) observations of their inspiral, merger and ringdown by a network of second-generation ground-based GW observatories. We simulate a population of black-hole binaries with uniform distribution of component masses in the interval $(3,80)~M_\\odot$, distributed uniformly in comoving volume, with isotropic orientations. From signals producing signal-to-noise ratio $\\geq 5$ in at least two detectors, we estimate the posterior distributions of the binary parameters using the Bayesian parameter estimation code LALInference. The GW signals will be redshifted due to the cosmological expansion and we measure only the "redshifted" masses. By assuming a cosmology, it is possible to estimate the gravitational masses by inferring the redshift from the measured posterior of the luminosity distance. We find that the measurement of the gravitational masses will be in general dominated by the error in measuring the luminosity distance. In spite of this, the component masses of more than $50\\%$ of the population can be measured with accuracy better than $\\sim 25\\%$ using the Advanced LIGO-Virgo network. Additionally, the mass of the final black hole can be measured with median accuracy $\\sim 18\\%$. Spin of the final black hole can be measured with median accuracy $\\sim 5\\% ~(17\\%)$ for binaries with non-spinning (aligned-spin) black holes. Additional detectors in Japan and India significantly improve the accuracy of sky localization, and moderately improve the estimation of luminosity distance, and hence, that of all mass parameters. We discuss the implication of these results on the observational evidence of intermediate-mass black holes and the estimation of cosmological parameters using GW observations.
Evolution of Plasma Parameters in the Termination Phase of High Confinement H-modes at JET and Implications for ITER
Daniel Shy
2014-08-01T23:59:59.000Z
A parameter study to optimizing scintillator characteristics for increased sensitivity in nuclear nonproliferation, safeguards, and security based applications
Measurement of np elastic scattering spin-spin correlation parameters at 484, 634, and 788 MeV
Garnett, R.W.
1989-03-01T23:59:59.000Z
The spin-spin correlation parameters C/sub LL/ and C/sub SL/ were measured for np elastic scattering at the incident neutron kinetic energy of 634 MeV. Good agreement was obtained with previously measured data. Additionally, the first measurement of the correlation parameter C/sub SS/ was made at the three energies, 484, 634, and 788 MeV. It was found that the new values, in general, do not agree well with phase shift predictions. A study was carried out to determine which of the isospin-0 partial waves will be affected by this new data. It was found that the /sup 1/P/sub 1/ partial wave will be affected significantly at all three measurement energies. At 634 and 788 MeV, the /sup 3/S/sub 1/ phase shifts will also change. 29 refs., 21 figs., 16 tabs.
Li Heng; Dong Lei; Zhang Lifei; Yang, James N.; Gillin, Michael T.; Zhu, X. Ronald [Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas 77030 (United States)
2011-12-15T23:59:59.000Z
Purpose: The purpose of this work was to clarify the interactions between the parameters used in the {gamma} index with the surface-based distance method, which itself can be viewed as a generalized version of the {gamma} index. The examined parameters included the distance to agreement (DTA)/dose difference (DD) criteria, the percentage used as a passing criterion, and the passing percentage for given DTA/DD criteria. The specific aims of our work were (1) to understand the relationships between the parameters used in the {gamma} index, (2) to determine the detection limit, or the minimum detectable error, of the {gamma} index with a given set of parameters, and (3) to establish a procedure to determine parameters that are consistent with the capacity of an IMRT QA system. Methods: The surface-based distance technique with dose gradient factor was derived, and then the relationship between surface-based distance and {gamma} index was established. The dose gradient factor for plans and measurements of 10 IMRT patients, 10 spine stereotactic radiosurgery (SRS) patients, and 3 Radiological Physics Center (RPC) head and neck phantom were calculated and evaluated. The detection limits of the surface-based distance and {gamma} index methods were examined by introducing known shifts to the 10 IMRT plans. Results: The means of the dose gradient factors were 0.434 mm/% and 0.956 mm/% for the SRS and IMRT plans, respectively. Key quantities (including the mean and 90th and 99th percentiles of the distance distribution) of the surface-based distance distribution between two dose distributions were linearly proportional to the actual shifts. However, the passing percentage of the {gamma} index for a given set of DTA/DD criteria was not associated with the actual shift. For IMRT, using the standard quality assurance criteria of 3 mm/3% DTA/DD and a 90% passing rate, we found that the detection limit of the {gamma} index in terms of global shift was 4.07 mm/4.07 % without noise. Conclusions: Surface-based distance is a direct measure of the difference between two dose distributions and can be used to evaluate or determine parameters for use in calculating the {gamma} index. The dose gradient factor represents the weighting between spatial and dose shift and should be determined before DTA/DD criteria are set. The authors also present a procedure to determine {gamma} index parameters from measurements.
Time-resolved measurement of plasma parameters by means of triple probe
Qayyum, A.; Ahmad, N.; Ahmad, S.; Deeba, Farah; Ali, Rafaqat; Hussain, S. [National Tokamak Fusion Program, 3329 Islamabad (Pakistan)] [National Tokamak Fusion Program, 3329 Islamabad (Pakistan)
2013-12-15T23:59:59.000Z
Triple Langmuir probe (TLP) diagnostic system with its necessary driving circuit is developed and successfully applies for time-resolved measurement of plasma parameters in the negative glow region of pulsating-dc discharge. This technique allows the instantaneous measurement of electron temperature [T{sub ?}], electron number density [n{sub ?}] as well as plasma fluctuations without any voltage or frequency sweep. In TLP configuration two probes are differentially biased and serve as a floating symmetric double probe whereas the third probe is simply floating into plasma to measure floating potential as a function of time and thus incorporates the effect of plasma fluctuations. As an example of the application to time-dependent plasmas, basic plasma parameters such as floating potential, electron temperature, and electron number density in low pressure air discharge are determined as a function of time for different fill pressure. The results demonstrate temporal evolution of plasma parameters and thus plasma generation progression for different fill pressures.
Uncertainties of optical-model parameters for the study of the threshold anomaly
Daniel Abriola; A. Arazi; J. Testoni; F. Gollan; G. V. Martí
2015-03-13T23:59:59.000Z
In the analysis of elastic-scattering experimental data, optical-model parameters (usually, depths of real and imaginary potentials) are fitted and conclusions are drawn analyzing their variations at bombardment energies close to the Coulomb barrier (threshold anomaly). The judgement about the shape of this variation (related to the physical processes producing this anomaly) depends on these fitted values but the robustness of the conclusions strongly depends on the uncertainties with which these parameters are derived. We will show that previous published studies have not used a common criterium for the evaluation of the parameter uncertainties. In this work, a study of these uncertainties is presented, using conventional statistic tools as well as bootstrapping techniques. As case studies, these procedures are applied to re-analyze detailed elastic-scattering data for the $^{12}$C + $^{208}$Pb and the $^6$Li + $^{80}$Se systems.
2+1 Quantum Gravity with Barbero-Immirzi like parameter on Toric Spatial Foliation
Rudranil Basu; Samir K Paul
2010-03-17T23:59:59.000Z
We consider gravity in 2+1 space-time dimensions, with negative cosmological constant and a `Barbero-Immirzi' (B-I) like parameter, when the space-time topology is of the form $ T^2 \\times \\mathbbm{R}$. The phase space structure, both in covariant and canonical framework is analyzed. Full quantization of the theory in the 'constrain first' approach reveals a finite dimensional physical Hilbert space. An explicit construction of wave functions is presented. The dimension of the Hilbert space is found to depend on the `Barbero-Immirzi' like parameter in an interesting fashion. Comparative study of this parameter in light of some of the recent findings in literarure for similar theories is presented.
The effects of user mobility on usage parameter control (UPC) in wireless ATM systems
Sholander, P.; Martinez, L.; Tolendino, L. [Sandia National Labs., Albuquerque, NM (United States); Mah, B.A. [Sandia National Labs., Livermore, CA (United States)
1997-07-01T23:59:59.000Z
Wireless Asynchronous Transfer Mode (WATM) networks pose new traffic management problems. One example is the effect of user mobility on Usage Parameter Control (UPC). If the UPC algorithm resets after each handoff between wireless-cells, then users can cheat on their traffic contract. This paper derives explicit relationships between a user`s traffic parameters (Peak Cell Rate, Sustained Cell Rate and Maximum Burst Size), their transit time per wireless-cell, their maximum sustained cheating-rate and the Generic Cell Rate Algorithm`s (GCRA`s) Limit (L) parameter. It also shows that the GCRA can still effectively police Constant Bit Rate (CBR) traffic, but not some types of realistic Variable Bit Rate (VBR) traffic.
Trends in the electron-phonon coupling parameter in some metallic hydrides
Gupta, M.; Burger, J.P.
1981-12-15T23:59:59.000Z
We present an evaluation of the electron-phonon coupling parameter lambda, using the McMillan formalism, for several classes of stoichiometric mono- and dihydrides with a metallic underlying fcc structure. We calculate the electronic term eta and use experimental estimates for the phonon energies when available. We derive systematic trends concerning both contributions to eta stemming, respectively, from the metallic site M and the hydrogen site H. We show that eta/sub H/ is generally small, but it may become large if the Fermi energy is in the metal s-p band as in the filled d-band transition-metal (TM) hydrides such as PdH; eta/sub H/ may also be large when a metal-hydrogen antibonding band crosses the Fermi level, a case which happens in AlH and may happen for some unstable dihydrides. The metallic contribution eta/sub M/ is calculated to be small for all stable mono- and dihydrides like PdH, NiH, ZrH/sub 2/, NbH/sub 2/, etc., but nothing in principle prevents this contribution from becoming as large as in some pure TM, if one sweeps the Fermi level through the whole metallic d band. Good agreement with the available experimental data is obtained concerning the occurrence of superconductivity in the compounds considered.
Thorsten Stahn; Laurent Gizon
2008-03-14T23:59:59.000Z
Quantitative helio- and asteroseismology require very precise measurements of the frequencies, amplitudes, and lifetimes of the global modes of stellar oscillation. It is common knowledge that the precision of these measurements depends on the total length (T), quality, and completeness of the observations. Except in a few simple cases, the effect of gaps in the data on measurement precision is poorly understood, in particular in Fourier space where the convolution of the observable with the observation window introduces correlations between different frequencies. Here we describe and implement a rather general method to retrieve maximum likelihood estimates of the oscillation parameters, taking into account the proper statistics of the observations. Our fitting method applies in complex Fourier space and exploits the phase information. We consider both solar-like stochastic oscillations and long-lived harmonic oscillations, plus random noise. Using numerical simulations, we demonstrate the existence of cases for which our improved fitting method is less biased and has a greater precision than when the frequency correlations are ignored. This is especially true of low signal-to-noise solar-like oscillations. For example, we discuss a case where the precision on the mode frequency estimate is increased by a factor of five, for a duty cycle of 15%. In the case of long-lived sinusoidal oscillations, a proper treatment of the frequency correlations does not provide any significant improvement; nevertheless we confirm that the mode frequency can be measured from gapped data at a much better precision than the 1/T Rayleigh resolution.
Yu, Tang-Qing, E-mail: tangqing.yu@nyu.edu; Vanden-Eijnden, Eric, E-mail: eve2@cims.nyu.edu [Courant Institute of Mathematical Sciences, New York University, New York, New York 10012 (United States); Chen, Pei-Yang; Chen, Ming [Department of Chemistry, New York University, New York, New York 10003 (United States); Samanta, Amit [Program in Applied and Computational Mathematics, Princeton University, Princeton, New Jersey 08544, USA and Lawrence Livermore National Laboratory, Livermore, California 94550 (United States); Tuckerman, Mark, E-mail: mark.tuckerman@nyu.edu [Courant Institute of Mathematical Sciences, New York University, New York, New York 10012 (United States); Department of Chemistry, New York University, New York, New York 10003 (United States); NYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai 200062 (China)
2014-06-07T23:59:59.000Z
The problem of predicting polymorphism in atomic and molecular crystals constitutes a significant challenge both experimentally and theoretically. From the theoretical viewpoint, polymorphism prediction falls into the general class of problems characterized by an underlying rough energy landscape, and consequently, free energy based enhanced sampling approaches can be brought to bear on the problem. In this paper, we build on a scheme previously introduced by two of the authors in which the lengths and angles of the supercell are targeted for enhanced sampling via temperature accelerated adiabatic free energy dynamics [T. Q. Yu and M. E. Tuckerman, Phys. Rev. Lett. 107, 015701 (2011)]. Here, that framework is expanded to include general order parameters that distinguish different crystalline arrangements as target collective variables for enhanced sampling. The resulting free energy surface, being of quite high dimension, is nontrivial to reconstruct, and we discuss one particular strategy for performing the free energy analysis. The method is applied to the study of polymorphism in xenon crystals at high pressure and temperature using the Steinhardt order parameters without and with the supercell included in the set of collective variables. The expected fcc and bcc structures are obtained, and when the supercell parameters are included as collective variables, we also find several new structures, including fcc states with hcp stacking faults. We also apply the new method to the solid-liquid phase transition in copper at 1300 K using the same Steinhardt order parameters. Our method is able to melt and refreeze the system repeatedly, and the free energy profile can be obtained with high efficiency.
Influence of composition on microstructural parameters of single crystal nickel-base superalloys
MacKay, R.A., E-mail: Rebecca.A.MacKay@nasa.gov [NASA Glenn Research Center, 21000 Brookpark Rd., Cleveland, Ohio 44135 (United States); Gabb, T.P. [NASA Glenn Research Center, 21000 Brookpark Rd., Cleveland, Ohio 44135 (United States); Garg, A. [NASA Glenn Research Center, 21000 Brookpark Rd., Cleveland, Ohio 44135 (United States); University of Toledo, 2801 W. Bancroft, Toledo, Ohio 43606 (United States); Rogers, R.B.; Nathal, M.V. [NASA Glenn Research Center, 21000 Brookpark Rd., Cleveland, Ohio 44135 (United States)
2012-08-15T23:59:59.000Z
Fourteen nickel-base superalloy single crystals containing a range of chromium (Cr), cobalt (Co), molybdenum (Mo), and rhenium (Re) levels, and fixed amounts of aluminum (Al) and tantalum (Ta), were examined to determine the effect of bulk composition on basic microstructural parameters, including {gamma} Prime solvus, {gamma} Prime volume fraction, topologically close-packed (TCP) phases, {gamma} and {gamma} Prime phase chemistries, and {gamma}-{gamma} Prime lattice mismatch. Regression models describing the influence of bulk alloy composition on each of the microstructural parameters were developed and compared to predictions by a commercially-available software tool that used computational thermodynamics. Co produced the largest change in {gamma} Prime solvus over the wide compositional range explored and Mo produced the biggest effect on the {gamma} lattice parameter over its range, although Re had a very potent influence on all microstructural parameters investigated. Changing the Cr, Co, Mo, and Re contents in the bulk alloy had an impact on their concentrations in the {gamma} matrix and to a smaller extent in the {gamma} Prime phase. The software tool under-predicted {gamma} Prime solvus temperatures and {gamma} Prime volume fractions, and over-predicted TCP phase volume fractions at 982 Degree-Sign C. However, the statistical regression models provided excellent estimations of the microstructural parameters and demonstrated the usefulness of such formulas. - Highlights: Black-Right-Pointing-Pointer Effects of Cr, Co, Mo, and Re on microstructure in new low density superalloys Black-Right-Pointing-Pointer Co produced a large change in {gamma} Prime solvus; Mo had a large effect on lattice mismatch. Black-Right-Pointing-Pointer Re exhibited very potent influence on all microstructural parameters was investigated. Black-Right-Pointing-Pointer {gamma} and {gamma} Prime phase chemistries both varied with temperature and alloy composition. Black-Right-Pointing-Pointer Computational thermodynamic modeling tool did not accurately predict microstructure.
CALIBRATIONS OF ATMOSPHERIC PARAMETERS OBTAINED FROM THE FIRST YEAR OF SDSS-III APOGEE OBSERVATIONS
Mészáros, Sz.; Allende Prieto, C. [Instituto de Astrofísica de Canarias (IAC), E-38200 La Laguna, Tenerife (Spain); Holtzman, J. [New Mexico State University, Las Cruces, NM 88003 (United States); García Pérez, A. E.; Chojnowski, S. D.; Hearty, F. R.; Majewski, S. R. [Department of Astronomy, University of Virginia, Charlottesville, VA 22904-4325 (United States); Schiavon, R. P. [Astrophysics Research Institute, Liverpool John Moores University, Egerton Wharf, Birkenhead, Wirral CH41 1LD (United Kingdom); Basu, S. [Department of Astronomy, Yale University, P.O. Box 208101, New Haven, CT 06520-8101 (United States); Bizyaev, D. [Apache Point Observatory, P.O. Box 59, Sunspot, NM 88349-0059 (United States); Chaplin, W. J.; Elsworth, Y. [University of Birmingham, School of Physics and Astronomy, Edgbaston, Birmingham B15 2TT (United Kingdom); Cunha, K. [Steward Observatory, University of Arizona, Tucson, AZ 85721 (United States); Epstein, C.; Johnson, J. A. [Department of Astronomy, The Ohio State University, Columbus, OH 43210 (United States); Frinchaboy, P. M. [Texas Christian University, Fort Worth, TX 76129 (United States); García, R. A. [Laboratoire AIM, CEA/DSM-CNRS-Université Paris Diderot, IRFU/SAp, Centre de Saclay, F-91191 Gif-sur-Yvette Cedex (France); Hekker, S. [Astronomical Institute ''Anton Pannekoek'', University of Amsterdam, Science Park 904, 1098 XH Amsterdam (Netherlands); Kallinger, T. [Institute for Astronomy, University of Vienna, Türkenschanzstrasse 17, A-1180 Vienna (Austria); Koesterke, L. [Texas Advanced Computing Center, University of Texas, Austin, TX 78759 (United States); and others
2013-11-01T23:59:59.000Z
The Sloan Digital Sky Survey III (SDSS-III) Apache Point Observatory Galactic Evolution Experiment (APOGEE) is a three-year survey that is collecting 10{sup 5} high-resolution spectra in the near-IR across multiple Galactic populations. To derive stellar parameters and chemical compositions from this massive data set, the APOGEE Stellar Parameters and Chemical Abundances Pipeline (ASPCAP) has been developed. Here, we describe empirical calibrations of stellar parameters presented in the first SDSS-III APOGEE data release (DR10). These calibrations were enabled by observations of 559 stars in 20 globular and open clusters. The cluster observations were supplemented by observations of stars in NASA's Kepler field that have well determined surface gravities from asteroseismic analysis. We discuss the accuracy and precision of the derived stellar parameters, considering especially effective temperature, surface gravity, and metallicity; we also briefly discuss the derived results for the abundances of the ?-elements, carbon, and nitrogen. Overall, we find that ASPCAP achieves reasonably accurate results for temperature and metallicity, but suffers from systematic errors in surface gravity. We derive calibration relations that bring the raw ASPCAP results into better agreement with independently determined stellar parameters. The internal scatter of ASPCAP parameters within clusters suggests that metallicities are measured with a precision better than 0.1 dex, effective temperatures better than 150 K, and surface gravities better than 0.2 dex. The understanding provided by the clusters and Kepler giants on the current accuracy and precision will be invaluable for future improvements of the pipeline.
Mestrovic, Ante [Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia (Canada) and Department of Medical Physics, British Columbia Cancer Agency, Vancouver, British Columbia (Canada)]. E-mail: amestrovic@bccancer.bc.ca; Clark, Brenda G. [Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia (Canada); Department of Medical Physics, British Columbia Cancer Agency, Vancouver, British Columbia (Canada)
2005-11-01T23:59:59.000Z
Purpose: To develop a method of predicting the values of dose distribution parameters of different radiosurgery techniques for treatment of arteriovenous malformation (AVM) based on internal geometric parameters. Methods and Materials: For each of 18 previously treated AVM patients, four treatment plans were created: circular collimator arcs, dynamic conformal arcs, fixed conformal fields, and intensity-modulated radiosurgery. An algorithm was developed to characterize the target and critical structure shape complexity and the position of the critical structures with respect to the target. Multiple regression was employed to establish the correlation between the internal geometric parameters and the dose distribution for different treatment techniques. The results from the model were applied to predict the dosimetric outcomes of different radiosurgery techniques and select the optimal radiosurgery technique for a number of AVM patients. Results: Several internal geometric parameters showing statistically significant correlation (p < 0.05) with the treatment planning results for each technique were identified. The target volume and the average minimum distance between the target and the critical structures were the most effective predictors for normal tissue dose distribution. The structure overlap volume with the target and the mean distance between the target and the critical structure were the most effective predictors for critical structure dose distribution. The predicted values of dose distribution parameters of different radiosurgery techniques were in close agreement with the original data. Conclusions: A statistical model has been described that successfully predicts the values of dose distribution parameters of different radiosurgery techniques and may be used to predetermine the optimal technique on a patient-to-patient basis.
Enhancing parameter precision of optimal quantum estimation by direct quantum feedback
Qiang Zheng; Li Ge; Yao Yao; Qi-jun Zhi
2015-03-01T23:59:59.000Z
Various schemes have been proposed to overcome the drawback of the decoherence on quantum-enhanced parameter estimation. Here we suggest an alternative method, quantum feedback, to enhance the parameter precision of optimal quantum estimation of a dissipative qubit by investigating its dynamics of quantum Fisher information. We find that compared with the case without feedback, the quantum Fisher information of the dissipative qubit in the case of feedback has a large maximum value in time evolution and a smaller decay rate in the long time.
Application of Extended Kalman Filter Techniques for Dynamic Model Parameter Calibration
Huang, Zhenyu; Du, Pengwei; Kosterev, Dmitry; Yang, Bo
2009-07-26T23:59:59.000Z
Abstract -Phasor measurement has previously been used for sub-system model validation, which enables rigorous comparison of model simulation and recorded dynamics and facilitates identification of problematic model components. Recent work extends the sub-system model validation approach with a focus on how model parameters may be calibrated to match recorded dynamics. In this paper, a calibration method using Extended Kalman Filter (EKF) technique is proposed. This paper presents the formulation as well as case studies to show the validity of the EKF-based parameter calibration method. The proposed calibration method is expected to be a cost-effective means complementary to traditional equipment testing for improving dynamic model quality.
Shafer, John M
2012-11-05T23:59:59.000Z
The three major components of this research were: 1. Application of minimally invasive, cost effective hydrogeophysical techniques (surface and borehole), to generate fine scale (~1m or less) 3D estimates of subsurface heterogeneity. Heterogeneity is defined as spatial variability in hydraulic conductivity and/or hydrolithologic zones. 2. Integration of the fine scale characterization of hydrogeologic parameters with the hydrogeologic facies to upscale the finer scale assessment of heterogeneity to field scale. 3. Determination of the relationship between dual-domain parameters and practical characterization data.
SU-E-J-161: Inverse Problems for Optical Parameters in Laser Induced Thermal Therapy
Fahrenholtz, SJ; Stafford, RJ; Fuentes, DT [UT MD Anderson Cancer Center, Houston, TX (United States); UT Graduate School of Biomedical Sciences, Houston, TX (United States)
2014-06-01T23:59:59.000Z
Purpose: Magnetic resonance-guided laser-induced thermal therapy (MRgLITT) is investigated as a neurosurgical intervention for oncological applications throughout the body by active post market studies. Real-time MR temperature imaging is used to monitor ablative thermal delivery in the clinic. Additionally, brain MRgLITT could improve through effective planning for laser fiber's placement. Mathematical bioheat models have been extensively investigated but require reliable patient specific physical parameter data, e.g. optical parameters. This abstract applies an inverse problem algorithm to characterize optical parameter data obtained from previous MRgLITT interventions. Methods: The implemented inverse problem has three primary components: a parameter-space search algorithm, a physics model, and training data. First, the parameter-space search algorithm uses a gradient-based quasi-Newton method to optimize the effective optical attenuation coefficient, ?-eff. A parameter reduction reduces the amount of optical parameter-space the algorithm must search. Second, the physics model is a simplified bioheat model for homogeneous tissue where closed-form Green's functions represent the exact solution. Third, the training data was temperature imaging data from 23 MRgLITT oncological brain ablations (980 nm wavelength) from seven different patients. Results: To three significant figures, the descriptive statistics for ?-eff were 1470 m{sup ?1} mean, 1360 m{sup ?1} median, 369 m{sup ?1} standard deviation, 933 m{sup ?1} minimum and 2260 m{sup ?1} maximum. The standard deviation normalized by the mean was 25.0%. The inverse problem took <30 minutes to optimize all 23 datasets. Conclusion: As expected, the inferred average is biased by underlying physics model. However, the standard deviation normalized by the mean is smaller than literature values and indicates an increased precision in the characterization of the optical parameters needed to plan MRgLITT procedures. This investigation demonstrates the potential for the optimization and validation of more sophisticated bioheat models that incorporate the uncertainty of the data into the predictions, e.g. stochastic finite element methods.
Models with time-dependent parameters using transform methods: application to Heston's model
Elices, A
2007-01-01T23:59:59.000Z
This paper presents a methodology to introduce time-dependent parameters for a wide family of models preserving their analytic tractability. This family includes hybrid models with stochastic volatility, stochastic interest-rates, jumps and their non-hybrid counterparts. The methodology is applied to Heston's model. A bootstrapping algorithm is presented for calibration. A case study works out the calibration of the time-dependent parameters to the volatility surface of the Eurostoxx 50 index. The methodology is also applied to the analytic valuation of forward start vanilla options driven by Heston's model. This result is used to explore the forward skew of the case study.
Hasan Yuksel; Shin'ichiro Ando; John Beacom
2006-06-08T23:59:59.000Z
The time-integrated luminosity and average energy of the neutrino emission spectrum are essential diagnostics of core-collapse supernovae. The SN 1987A electron antineutrino observations by the Kamiokande-II and IMB detectors are only roughly consistent with each other and theory. Using new measurements of the star formation rate history, we reinterpret the Super-Kamiokande upper bound on the electron antineutrino flux from all past supernovae as an excluded region in neutrino emission parameter space. A gadolinium-enhanced Super-Kamiokande should be able to jointly measure these parameters, and a future megaton-scale detector would enable precision studies.
Abe, K; Iida, T; Ikeda, M; Iyogi, K; Kameda, J; Koshio, Y; Kozuma, Y; Miura, M; Moriyama, S; Nakahata, M; Nakayama, S; Obayashi, Y; Sekiya, H; Shiozawa, M; Suzuki, Y; Takeda, A; Takenaga, Y; Takeuchi, Y; Ueno, K; Ueshima, K; Watanabe, H; Yamada, S; Yokozawa, T; Ishihara, C; Kaji, H; Lee, K P; Kajita, T; Kaneyuki, K; McLachlan, T; Okumura, K; Shimizu, Y; Tanimoto, N; Martens, K; Vagins, M R; Labarga, L; Magro, L M; Dufour, F; Kearns, E; Litos, M; Raaf, J L; Stone, J L; Sulak, L R; Goldhaber, M; Bays, K; Kropp, W R; Mine, S; Regis, C; Smy, M B; Sobel, H W; Ganezer, K S; Hill, J; Keig, W E; Jang, J S; Kim, J Y; Lim, I T; Albert, J B; Scholberg, K; Walter, C W; Wendell, R; Wongjirad, T M; Tasaka, S; Learned, J G; Matsuno, S; Hasegawa, T; Ishida, T; Ishii, T; Kobayashi, T; Nakadaira, T; Nakamura, K; Nishikawa, K; Nishino, H; Oyama, Y; Sakashita, K; Sekiguchi, T; Tsukamoto, T; Suzuki, A T; Minamino, A; Nakaya, T; Fukuda, Y; Itow, Y; Mitsuka, G; Tanaka, T; Jung, C K; Taylor, I; Yanagisawa, C; Ishino, H; Kibayashi, A; Mino, S; Mori, T; Sakuda, M; Toyota, H; Kuno, Y; Kim, S B; Yang, B S; Ishizuka, T; Okazawa, H; Choi, Y; Nishijima, K; Koshiba, M; Yokoyama, M; Totsuka, Y; Chen, S; Heng, Y; Yang, Z; Zhang, H; Kielczewska, D; Mijakowski, P; Connolly, K; Dziomba, M; Wilkes, R J
2011-01-01T23:59:59.000Z
We present a search for differences in the oscillations of antineutrinos and neutrinos in the Super-Kamiokande -I, -II, and -III atmospheric neutrino sample. Under a two-flavor disappearance model with separate mixing parameters between neutrinos and antineutrinos, we find no evidence for a difference in oscillation parameters. Best fit antineutrino mixing is found to be at (dm2bar, sin2 2 thetabar) = (2.0x10^-3 eV^2, 1.0) and is consistent with the overall Super-K measurement.
Non-extensivity Parameter of Thermodynamical Model of Hadronic Interactions at LHC energies
Tadeusz Wibig
2010-05-31T23:59:59.000Z
The LHC measurements above SPS and Tevatron energies give the opportunity to test predictions of non-extensive thermodynamical picture of hadronic interaction to examine measured transverse momenta distributions for new interaction energy range. We determined Tsallis model non-extensivity parameter for the hadronization process before short-lived particles decayed and distort the initial p_t distribution. We have shown that it follows exactly smooth rise determined at lower energies below present LHC record. The shape of the q parameter energy dependence is consistent with expectations and the evidence of the asymptotic limit may be seen.
Radiatively Important Parameters Best Estimate (RIPBE): An ARM Value-Added Product
McFarlane, S; Shippert, T; Mather, J
2011-06-30T23:59:59.000Z
The Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to create a complete set of clearly identified set of parameters on a uniform vertical and temporal grid to use as input to a radiative transfer model. One of the main drivers for RIPBE was as input to the Broadband Heating Rate Profile (BBHRP) VAP, but we also envision using RIPBE files for user-run radiative transfer codes, as part of cloud/aerosol retrieval testbeds, and as input to averaged datastreams for model evaluation.
Hot gas path analysis and data evaluation of the performance parameters of a gas turbine
Hanawa, David Allen
1974-01-01T23:59:59.000Z
SCIENCE December 1974 Major Subject: Mechanical Engineering HOT GAS PATH ANALYSIS AND DATA EVALUATION OF THE PERFORMANCE PARAMETERS OF A GAS TURBINE A Thesis by DAVID AI, LEN HANAWA Approved as to style and content by: PfnA J 7 EY3 .j (Chairman... of -Committee) zr (Head of Depai'tment) Member) /i ~E" Egg(JQJ a g i (Member) (Member) December l974 ABSTRACT Ho Gas Path Ana'ysis and Data Evaluation o. the Performance Parameters of a Gas Turbine (December 1974) David Allen Hanawa, B. S. , Texas A...
Derivative-free optimization for parameter estimation in computational nuclear physics
Stefan M. Wild; Jason Sarich; Nicolas Schunck
2014-09-17T23:59:59.000Z
We consider optimization problems that arise when estimating a set of unknown parameters from experimental data, particularly in the context of nuclear density functional theory. We examine the cost of not having derivatives of these functionals with respect to the parameters. We show that the POUNDERS code for local derivative-free optimization obtains consistent solutions on a variety of computationally expensive energy density functional calibration problems. We also provide a primer on the operation of the POUNDERS software in the Toolkit for Advanced Optimization.
Temperature Fluctuation and an Expected Limit of Hubble Parameter in the Self-Consistent Model
A. B. Morcos
2004-12-08T23:59:59.000Z
The temperature gradient of microwave background radiation (CMBR) is calculated in the Self Consistent Model. An expected values for Hubble parameter have been presented in two different cases. In the first case the temperature is treated as a function of time only, while in the other one the temperature depends on relaxation of isotropy condition in the self-consistent model and the assumption that the universe expands adiabatically. The COBE's or WMAP's fluctuations in temperature of CMBR may be used to predict a value for Hubble parameter.
Physical property parameter set for modeling ICPP aqueous wastes with ASPEN electrolyte NRTL model
Schindler, R.E.
1996-09-01T23:59:59.000Z
The aqueous waste evaporators at the Idaho Chemical Processing Plant (ICPP) are being modeled using ASPEN software. The ASPEN software calculates chemical and vapor-liquid equilibria with activity coefficients calculated using the electrolyte Non-Random Two Liquid (NRTL) model for local excess Gibbs free energies of interactions between ions and molecules in solution. The use of the electrolyte NRTL model requires the determination of empirical parameters for the excess Gibbs free energies of the interactions between species in solution. This report covers the development of a set parameters, from literature data, for the use of the electrolyte NRTL model with the major solutes in the ICPP aqueous wastes.
Generator parameter uncertainties in the frequency-and-duration of cumulative margin events
Tram, Nhat-Hanh
1977-01-01T23:59:59.000Z
Hea f Depar ent Member Member Mem r 4f~d Q~ (, /U~d~m~ Member May 1977 ABSTRACT Generator Parameter Uncertainties in the Frequency-and-Duration of Cumulative Margin Events. (May 1977) Nhat-Hanh Tram, B. S. , Texas A&M University Chairman... VITA 69 LIST OF TABLES Table Page 1. Generating Unit Parameters (Example for Sensitivity Studies) . 10 2. K Constants for Sensitivity Studies . 3. Frequency-and-Duration Sensitivities to A 4. Frequency-and-Duration Sensitivities to u 13 13 14...
Meliopoulos, Sakis; Cokkinides, George; Fardanesh, Bruce; Hedrington, Clinton
2013-12-31T23:59:59.000Z
This is the final report for this project that was performed in the period: October1, 2009 to June 30, 2013. In this project, a fully distributed high-fidelity dynamic state estimator (DSE) that continuously tracks the real time dynamic model of a wide area system with update rates better than 60 times per second is achieved. The proposed technology is based on GPS-synchronized measurements but also utilizes data from all available Intelligent Electronic Devices in the system (numerical relays, digital fault recorders, digital meters, etc.). The distributed state estimator provides the real time model of the system not only the voltage phasors. The proposed system provides the infrastructure for a variety of applications and two very important applications (a) a high fidelity generating unit parameters estimation and (b) an energy function based transient stability monitoring of a wide area electric power system with predictive capability. Also the dynamic distributed state estimation results are stored (the storage scheme includes data and coincidental model) enabling an automatic reconstruction and “play back” of a system wide disturbance. This approach enables complete play back capability with fidelity equal to that of real time with the advantage of “playing back” at a user selected speed. The proposed technologies were developed and tested in the lab during the first 18 months of the project and then demonstrated on two actual systems, the USVI Water and Power Administration system and the New York Power Authority’s Blenheim-Gilboa pumped hydro plant in the last 18 months of the project. The four main thrusts of this project, mentioned above, are extremely important to the industry. The DSE with the achieved update rates (more than 60 times per second) provides a superior solution to the “grid visibility” question. The generator parameter identification method fills an important and practical need of the industry. The “energy function” based transient stability monitoring opens up new ways to protect the power grid, better manage disturbances, confine their impact and in general improve the reliability and security of the system. Finally, as a by-product of the proposed research project, the developed system is able to “play back” disturbances by a click of a mouse. The importance of this by-product is evident by considering the tremendous effort exerted after the August 2003 blackout to piece together all the disturbance recordings, align them and recreate the sequence of events. This project has moved the state of art from fault recording by individual devices to system wide disturbance recording with “play back” capability.
Sokalski, Krzysztof; ?lusarek, Barbara
2015-01-01T23:59:59.000Z
The paper presents a novel algorithm for designing technological parameters by which one optimize power losses and induction in SMC. The advantage of the presented algorithm consists in the bicriteria optimization: minimization of losses and maximization of induction. The crucial role in the presented algotithm plays scaling.
Krzysztof Sokalski; Bartosz Jankowski; Barbara ?lusarek
2015-03-11T23:59:59.000Z
The paper presents a novel algorithm for designing technological parameters by which one optimize power losses and induction in SMC. The advantage of the presented algorithm consists in the bicriteria optimization: minimization of losses and maximization of induction. The crucial role in the presented algotithm plays scaling.