Estimation of the parameters in the generalized gamma distribution
Collins, Claude Ann
1966-01-01T23:59:59.000Z
is th E(K ) - e r {(6y + r)/6) /I'(y), /6 & ? y ~ otherwise (1. 4) Assuming now that 6 & 0 and all moments exist and are given by (1. 4), then the coefficient of variation may be written [T(y) I'{(6y + 2)/6) ? I' {(6y + 1)/6)] / T{(6y + 1)/6) (1. 5... are printed out. C PROGRAM } ~ ESTIMATION OF PARAMETERS OF GENERALIZED GAMMA DISTRIBUTION C DIMENSION XO(500 ) eEPT(500) eFREQ (500) ePT& 500) ekF(500) ~ XN(500 ') DI MENS ION X & 2e 500 ) ~ S ( 2e 3) e Y (3 ~ '500 ) e TFREQ (3e 500 ) ~ SUMX (2 ) READ (5 e...
A two-parameter generalization of the complete elliptic integral of the second kind
M. L. Glasser
2007-09-09T23:59:59.000Z
The two parameter generalization of the complete elliptic integral of the second kind discussed recently by Barsan is expressed in terms of ordinary complete elliptic integrals.
Parameter switching in a generalized Duffing system: Finding the stable attractors
Marius-F. Danca; Nicolae Lung
2014-09-30T23:59:59.000Z
This paper presents a simple periodic parameter-switching method which can find any stable limit cycle that can be numerically approximated in a generalized Duffing system. In this method, the initial value problem of the system is numerically integrated and the control parameter is switched periodically within a chosen set of parameter values. The resulted attractor matches with the attractor obtained by using the average of the switched values. The accurate match is verified by phase plots and Hausdorff distance measure in extensive simulations.
Nash equilibria in quantum games with generalized two-parameter strategies
Adrian P. Flitney; Lloyd C. L. Hollenberg
2006-10-11T23:59:59.000Z
In the Eisert protocol for 2 X 2 quantum games [Phys. Rev. Lett. 83, 3077], a number of authors have investigated the features arising from making the strategic space a two-parameter subset of single qubit unitary operators. We argue that the new Nash equilibria and the classical-quantum transitions that occur are simply an artifact of the particular strategy space chosen. By choosing a different, but equally plausible, two-parameter strategic space we show that different Nash equilibria with different classical-quantum transitions can arise. We generalize the two-parameter strategies and also consider these strategies in a multiplayer setting.
A two-parameter generalization of the complete elliptic integral of second kind
Victor Barsan
2007-08-17T23:59:59.000Z
A two-parameter generalization of the complete elliptic integral of second kind is expressed in terms of the Appell function $F_{4}$. This function is further reduced to a quite simple bilinear form in the complete elliptic integrals $K$ and $E$. The physical applications are briefly mentioned.
Constraining Parameters of Generalized Cosmic Chaplygin Gas in Loop Quantum Cosmology
Chayan Ranjit; Ujjal Debnath
2014-09-20T23:59:59.000Z
We have assumed the FRW universe in loop quantum cosmology (LQC) model filled with the dark matter and the Generalized Cosmic Chaplygin gas (GCCG) type dark energy where dark matter follows the linear equation of state. We present the Hubble parameter in terms of the observable parameters $\\Omega_{m0}$ and $H_{0}$ with the redshift $z$ and the other parameters like $A$, $B$, $w_{m}$, $ \\omega$ and $\\alpha$ which coming from our model. From Stern data set (12 points)\\& SNe Type Ia 292 data (from \\cite{Riess1,Riess2,Astier}) we have obtained the bounds of the arbitrary parameters by minimizing the $\\chi^{2}$ test. The best-fit values of the parameters are obtained by 66\\%, 90\\% and 99\\% confidence levels. Next due to joint analysis with Stern+BAO and Stern+BAO+CMB observations, we have also obtained the bounds of the parameters ($A,B$) by fixing some other parameters $\\alpha$, $w_{m}$ and $\\omega$. From the best fit values of the parameters, we have obtained the distance modulus $\\mu(z)$ for our theoretical GCCG model in LQC and from Supernovae Type Ia (union2 sample 552 data from [\\cite{Amanullah}] \\& Riess 292 data from [\\cite{Riess1,Riess2,Astier}]), we have concluded that our model is in agreement with the Supernovae Type Ia sample data. In addition, we have investigated in details about the various types of Future Singularities that may be formed in this model and it is notable that our model is completely free from any types of future singularities.
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
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
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
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.
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) |govInstrumentsmfrirtA Journey Inside theFacebookTechnical Information StatutoryStewart PragerStorage Ring Parameters
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (MillionStructural Basis of Wnt Recognition by Frizzled5 StockpileStorage Ring Parameters Print
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
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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a g eWorks -09-0018-CXNuon Renewables Jump to:POSCO Machinery Co LtdInc JumpParameter 4 Jump to:
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.
THIRD AND FOURTH STOKES PARAMETERS IN POLARIMETRIC
Tsang, Leung
THIRD AND FOURTH STOKES PARAMETERS IN POLARIMETRIC PASSIVE MICROWAVE REMOTE SENSING OF ROUGH and fourth Stokes parameters. In particular, the fourth Stokes parameter can be large for such geometrical configurations. Results show that the nonzero third and fourth Stokes parameters exist for all frequencies
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.
Least square fitting with one parameter less
Bernd A. Berg
2015-05-28T23:59:59.000Z
It is shown that whenever the multiplicative normalization of a fitting function is not known, least square fitting by $\\chi^2$ minimization can be performed with one parameter less than usual by converting the normalization parameter into a function of the remaining parameters and the data.
Dynamical Topological Order Parameters far from Equilibrium
Jan Carl Budich; Markus Heyl
2015-09-21T23:59:59.000Z
We report the discovery of a novel topological quantum number, represented by a momentum space winding number of the Pancharatnam geometric phase, that is dynamically defined and can change its integer value at discrete times where so called dynamical quantum phase transitions (DQPTs) occur. By contrast, straightforward non-equilibrium generalizations of conventional topological invariants are well known to be constants of motion under coherent time evolution. DQPTs have been recently introduced as a non-equilibrium analog in quantum real-time evolution of conventional phase transitions, where increasing time replaces the notion of conventional control parameters such as temperature. Here, studying quantum quenches in two-banded Bogoliubov de Gennes models, we identify for the first time a quantity that can be seen as the dynamical analog of an order parameter which changes its topologically quantized value at DQPTs.
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.
Optimizing parameters for predicting the geochemical behavior...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
for predicting the geochemical behavior and performance of discrete fracture networks in geothermal systems Optimizing parameters for predicting the geochemical behavior and...
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,...
Local Regression with Meaningful Parameters Rafael A. Irizarry
Irizarry, Rafael A.
Local Regression with Meaningful Parameters Rafael A. Irizarry Abstract Local regression or loess squares. In this paper we will present a version of local regression that fits more general parametric, and financial data are included. KEY WORDS: Local Regression, Harmonic Model, Meaningful Parameters, Sound
MFV Reductions of MSSM Parameter Space
S. S. AbdusSalam; C. P. Burgess; F. Quevedo
2015-02-09T23:59:59.000Z
The 100+ free parameters of the minimal supersymmetric standard model (MSSM) make it computationally difficult to compare systematically with data, motivating the study of specific parameter reductions such as the cMSSM and pMSSM. Here we instead study the reductions of parameter space implied by using minimal flavour violation (MFV) to organise the R-parity conserving MSSM, with a view towards systematically building in constraints on flavour-violating physics. Within this framework the space of parameters is reduced by expanding soft supersymmetry-breaking terms in powers of the Cabibbo angle, leading to a 24-, 30- or 42-parameter framework (which we call MSSM-24, MSSM-30, and MSSM-42 respectively), depending on the order kept in the expansion. We provide a Bayesian global fit to data of the MSSM-30 parameter set to show that this is manageable with current tools. We compare the MFV reductions to the 19-parameter pMSSM choice and show that the pMSSM is not contained as a subset. The MSSM-30 analysis favours a relatively lighter TeV-scale pseudoscalar Higgs boson and $\\tan \\beta \\sim 10$ with multi-TeV sparticles.
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.
Precision Measurement of Neutrino Oscillation Parameters with KamLAND
ODonnell, Thomas Michael
2011-01-01T23:59:59.000Z
resolution parameters. . . . . . Best-fit energy resolutionBest-fit energy scale parameters . . . . . . . . DescriptionTable 4.3: Best-fit energy resolution parameters (Equation
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.
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 ...
Quantifying the parameters of successful agricultural producers
Kaase, Gregory Herman
2006-08-16T23:59:59.000Z
The primary purpose of the study was to quantify the parameters of successful agricultural producers. Through the use of the Financial and Risk Management (FARM) Assistance database, this study evaluated economic measures ...
Uncertainty evaluation of delayed neutron decay parameters
Wang, Jinkai
2009-05-15T23:59:59.000Z
parameters fit their individual measurement data well in spite of these differences. This dissertation focuses on evaluation of the errors and methods of delayed neutron relative yields and decay constants for thermal fission of U-235. Various numerical...
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 ...
Uncertainty evaluation of delayed neutron decay parameters
Wang, Jinkai
2009-05-15T23:59:59.000Z
parameters fit their individual measurement data well in spite of these differences. This dissertation focuses on evaluation of the errors and methods of delayed neutron relative yields and decay constants for thermal fission of U-235. Various numerical...
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.
Inhomogeneity-induced variance of cosmological parameters
Alexander Wiegand; Dominik J. Schwarz
2012-02-18T23:59:59.000Z
Modern cosmology relies on the assumption of large-scale isotropy and homogeneity of the Universe. However, locally the Universe is inhomogeneous and anisotropic. So, how can local measurements (at the 100 Mpc scale) be used to determine global cosmological parameters (defined at the 10 Gpc scale)? We use Buchert's averaging formalism and determine a set of locally averaged cosmological parameters in the context of the flat Lambda cold dark matter model. We calculate their ensemble means (i.e. their global values) and variances (i.e. their cosmic variances). We apply our results to typical survey geometries and focus on the study of the effects of local fluctuations of the curvature parameter. By this means we show, that in the linear regime cosmological backreaction and averaging can be reformulated as the issue of cosmic variance. The cosmic variance is found largest for the curvature parameter and discuss some of its consequences. We further propose to use the observed variance of cosmological parameters to measure the growth factor. [abbreviated
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.
Beyond six parameters: extending $\\Lambda$CDM
Di Valentino, Eleonora; Silk, Joseph
2015-01-01T23:59:59.000Z
Cosmological constraints are usually derived under the assumption of a $6$ parameters $\\Lambda$-CDM theoretical framework or simple one-parameter extensions. In this paper we present, for the first time, cosmological constraints in a significantly extended scenario, varying up to $12$ cosmological parameters simultaneously, including the sum of neutrino masses, the neutrino effective number, the dark energy equation of state, the gravitational waves background and the running of the spectral index of primordial perturbations. Using the latest Planck 2015 data release (with polarization) we found no significant indication for extensions to the standard $\\Lambda$-CDM scenario, with the notable exception of the angular power spectrum lensing amplitude, $A_{\\rm lens}$ that is larger than the expected value at more than two standard deviations even when combining the Planck data with BAO and supernovae type Ia external datasets. In our extended cosmological framework, we find that a combined Planck+BAO analysis co...
Earth Similarity Index with two free parameters
Chandra, Suresh; Sharma, Mohit K
2015-01-01T23:59:59.000Z
We have derived Earth Similarity Index (ESI) with two free parameters m and T. These free parameters are optimized with the consideration that the planet Mars is almost similar to the Earth. For the optimized values of free parameters, the interior-ESI, surface-ESI and ESI for some planets are calculated. The results for m = 0.8 and T = 0.8 are compared with the values obtained by Schulze-Makuch {\\it et al.} (2011). We have found that the exoplanet 55 Cnc f is within 10% away from the threshold value T. The exoplanets HD 69830 c, 55 Cnc c, 55 Cnc f, 61 Vir d and HIP 57050 b are found to have ESI within 10% from the threshold value.
Time as a parameter of statistical ensemble
Sergei Viznyuk
2011-11-26T23:59:59.000Z
The notion of time is derived as a parameter of statistical ensemble representing the underlying system. Varying population numbers of microstates in statistical ensemble result in different expectation values corresponding to different times. We show a single parameter which equates to the notion of time is logarithm of the total number of microstates in statistical ensemble. We discuss the implications of proposed model for some topics of modern physics: Poincar\\'e recurrence theorem vs. Second Law of Thermodynamics, matter vs. anti-matter asymmetry of the universe, expansion of the universe, Big Bang.
Front End Chicane Parameters J. Scott Berg
McDonald, Kirk
with best transmission for a given proton energy cutoff For higher proton energy cutoffs, two sets proton energy cutoffs Best cutoff will depend on downstream details Lower cutoff energy requires less parameters for high energy cutoff Not dealing with absorber for low energy protons Chicane field is 2 T Could
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)
Socio-Economic Status "Defining" SES parameters
Gabrieli, John
Socio-Economic Status Data "Defining" SES parameters · Objective SES: · Individual and/or householdArthur Ladder) · In Community (MacArthur Ladder) · Other considerations: · Social, economic, and psychological personal evaluation be reflection of self-esteem? - Half parent/half subject reports - Evidence
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
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
Breaking parameter modulated chaotic secure communication system
G. Alvarez; F. Montoya; M. Romera; G. Pastor
2003-11-20T23:59:59.000Z
This paper describes the security weakness of a recently proposed secure communication method based on parameter modulation of a chaotic system and adaptive observer-based synchronization scheme. We show that the security is compromised even without precise knowledge of the chaotic system used.
Filtering and parameter estimation for electricity
Fournier, John J.F.
Filtering and parameter estimation for electricity markets by Alberto Molina-Escobar B to be particularly difficult for electricity, where markets are complex, and ex- hibit a number of unique features, mainly due to the problems involved in storing electricity. In this thesis we propose three models
Parameters of cosmological models and recent astronomical observations
Sharov, G.S.; Vorontsova, E.G., E-mail: german.sharov@mail.ru, E-mail: elenavor@inbox.ru [Tver state university, 170002, Sadovyj per. 35, Tver (Russian Federation)
2014-10-01T23:59:59.000Z
For different gravitational models we consider limitations on their parameters coming from recent observational data for type Ia supernovae, baryon acoustic oscillations, and from 34 data points for the Hubble parameter H(z) depending on redshift. We calculate parameters of 3 models describing accelerated expansion of the universe: the ?CDM model, the model with generalized Chaplygin gas (GCG) and the multidimensional model of I. Pahwa, D. Choudhury and T.R. Seshadri. In particular, for the ?CDM model 1? estimates of parameters are: H{sub 0}=70.262±0.319 km {sup -1}Mp {sup -1}, ?{sub m}=0.276{sub -0.008}{sup +0.009}, ?{sub ?}=0.769±0.029, ?{sub k}=-0.045±0.032. The GCG model under restriction 0?? is reduced to the ?CDM model. Predictions of the multidimensional model essentially depend on 3 data points for H(z) with z?2.3.
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, Andrew M. (Skokie, IL); Gross, Kenny C. (Bolingbrook, IL); Kubic, William L. (Sante Fe, NM); Wigeland, Roald A. (Olympia Fields, IL)
1996-01-01T23:59:59.000Z
A system and method for surveillance of an industrial process. 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.
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.
Fast cosmological parameter estimation using neural networks
T. Auld; M. Bridges; M. P. Hobson; S. F. Gull
2007-09-17T23:59:59.000Z
We present a method for accelerating the calculation of CMB power spectra, matter power spectra and likelihood functions for use in cosmological parameter estimation. The algorithm, called CosmoNet, is based on training a multilayer perceptron neural network and shares all the advantages of the recently released Pico algorithm of Fendt & Wandelt, but has several additional benefits in terms of simplicity, computational speed, memory requirements and ease of training. We demonstrate the capabilities of CosmoNet by computing CMB power spectra over a box in the parameter space of flat \\Lambda CDM models containing the 3\\sigma WMAP1 confidence region. We also use CosmoNet to compute the WMAP3 likelihood for flat \\Lambda CDM models and show that marginalised posteriors on parameters derived are very similar to those obtained using CAMB and the WMAP3 code. We find that the average error in the power spectra is typically 2-3% of cosmic variance, and that CosmoNet is \\sim 7 \\times 10^4 faster than CAMB (for flat models) and \\sim 6 \\times 10^6 times faster than the official WMAP3 likelihood code. CosmoNet and an interface to CosmoMC are publically available at www.mrao.cam.ac.uk/software/cosmonet.
Study of Engine Operating Parameter Effects on GDI Engine Particle...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Study of Engine Operating Parameter Effects on GDI Engine Particle-Number Emissions Study of Engine Operating Parameter Effects on GDI Engine Particle-Number Emissions Results show...
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...
Bias-limited extraction of cosmological parameters
Shimon, Meir; Itzhaki, Nissan; Rephaeli, Yoel, E-mail: meirs@wise.tau.ac.il, E-mail: nitzhaki@post.tau.ac.il, E-mail: yoelr@wise.tau.ac.il [School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978 (Israel)
2013-03-01T23:59:59.000Z
It is known that modeling uncertainties and astrophysical foregrounds can potentially introduce appreciable bias in the deduced values of cosmological parameters. While it is commonly assumed that these uncertainties will be accounted for to a sufficient level of precision, the level of bias has not been properly quantified in most cases of interest. We show that the requirement that the bias in derived values of cosmological parameters does not surpass nominal statistical error, translates into a maximal level of overall error O(N{sup ?½}) on |?P(k)|/P(k) and |?C{sub l}|/C{sub l}, where P(k), C{sub l}, and N are the matter power spectrum, angular power spectrum, and number of (independent Fourier) modes at a given scale l or k probed by the cosmological survey, respectively. This required level has important consequences on the precision with which cosmological parameters are hoped to be determined by future surveys: in virtually all ongoing and near future surveys N typically falls in the range 10{sup 6}?10{sup 9}, implying that the required overall theoretical modeling and numerical precision is already very high. Future redshifted-21-cm observations, projected to sample ? 10{sup 14} modes, will require knowledge of the matter power spectrum to a fantastic 10{sup ?7} precision level. We conclude that realizing the expected potential of future cosmological surveys, which aim at detecting 10{sup 6}?10{sup 14} modes, sets the formidable challenge of reducing the overall level of uncertainty to 10{sup ?3}?10{sup ?7}.
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...
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.
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 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.
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.
Partial Recombination for the CoEvolution of Model Parameters
Parker, Gary B.
with standard genetic algorithm to evolve parameters by model a hexapod robot. Tests were to progress
Computing Biological Model Parameters by Parallel Statistical Model Checking
Tronci, Enrico
of Treatments for Infertility Related Endocrinological Diseases, 600773). #12;patient-specific model parameters
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.
Parameter monitoring compensation system and method
Barkman, William E. (Oak Ridge, TN); Babelay, Edwin F. (Knoxville, TN); DeMint, Paul D. (Kingston, TN); Hebble, Thomas L. (Oak Ridge, TN); Igou, Richard E. (Knoxville, TN); Williams, Richard R. (Oak Ridge, TN); Klages, Edward J. (Oak Ridge, TN); Rasnick, William H. (Knoxville, TN)
1995-01-01T23:59:59.000Z
A compensation system 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 preprogrammed path during a machining operation 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.
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.
Parameter estimation with Sandage-Loeb test
Geng, Jia-Jia; Zhang, Jing-Fei; Zhang, Xin, E-mail: gengjiajia163@163.com, E-mail: jfzhang@mail.neu.edu.cn, E-mail: zhangxin@mail.neu.edu.cn [Department of Physics, College of Sciences, Northeastern University, Shenyang 110004 (China)
2014-12-01T23:59:59.000Z
The Sandage-Loeb (SL) test directly measures the expansion rate of the universe in the redshift range of 2 ?< z ?< 5 by detecting redshift drift in the spectra of Lyman-? forest of distant quasars. We discuss the impact of the future SL test data on parameter estimation for the ?CDM, the wCDM, and the w{sub 0}w{sub a}CDM models. To avoid the potential inconsistency with other observational data, we take the best-fitting dark energy model constrained by the current observations as the fiducial model to produce 30 mock SL test data. The SL test data provide an important supplement to the other dark energy probes, since they are extremely helpful in breaking the existing parameter degeneracies. We show that the strong degeneracy between ?{sub m} and H{sub 0} in all the three dark energy models is well broken by the SL test. Compared to the current combined data of type Ia supernovae, baryon acoustic oscillation, cosmic microwave background, and Hubble constant, the 30-yr observation of SL test could improve the constraints on ?{sub m} and H{sub 0} by more than 60% for all the three models. But the SL test can only moderately improve the constraint on the equation of state of dark energy. We show that a 30-yr observation of SL test could help improve the constraint on constant w by about 25%, and improve the constraints on w{sub 0} and w{sub a} by about 20% and 15%, respectively. We also quantify the constraining power of the SL test in the future high-precision joint geometric constraints on dark energy. The mock future supernova and baryon acoustic oscillation data are simulated based on the space-based project JDEM. We find that the 30-yr observation of SL test would help improve the measurement precision of ?{sub m}, H{sub 0}, and w{sub a} by more than 70%, 20%, and 60%, respectively, for the w{sub 0}w{sub a}CDM model.
Bounding the Hubble flow in terms of the w parameter
Cattoen, Celine
2008-01-01T23:59:59.000Z
The last decade has seen increasing efforts to circumscribe and bound the cosmological Hubble flow in terms of model-independent constraints on the cosmological fluid - such as, for instance, the classical energy conditions of general relativity. Quite a bit can certainly be said in this regard, but much more refined bounds can be obtained by placing more precise constraints (either theoretical or observational) on the cosmological fluid. In particular, the use of the w-parameter (w=p/rho) has become increasingly common as a surrogate for trying to say something about the cosmological equation of state. Herein we explore the extent to which a constraint on the w-parameter leads to useful and nontrivial constraints on the Hubble flow, in terms of constraints on density rho(z), Hubble parameter H(z), density parameter Omega(z), cosmological distances d(z), and lookback time T(z). In contrast to other partial results in the literature, we carry out the computations for arbitrary values of the space curvature k i...
Bounding the Hubble flow in terms of the w parameter
Celine Cattoen; Matt Visser
2008-06-13T23:59:59.000Z
The last decade has seen increasing efforts to circumscribe and bound the cosmological Hubble flow in terms of model-independent constraints on the cosmological fluid - such as, for instance, the classical energy conditions of general relativity. Quite a bit can certainly be said in this regard, but much more refined bounds can be obtained by placing more precise constraints (either theoretical or observational) on the cosmological fluid. In particular, the use of the w-parameter (w=p/rho) has become increasingly common as a surrogate for trying to say something about the cosmological equation of state. Herein we explore the extent to which a constraint on the w-parameter leads to useful and nontrivial constraints on the Hubble flow, in terms of constraints on density rho(z), Hubble parameter H(z), density parameter Omega(z), cosmological distances d(z), and lookback time T(z). In contrast to other partial results in the literature, we carry out the computations for arbitrary values of the space curvature k in [-1,0,+1], equivalently for arbitrary Omega_0 <= 1.
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)
Transparency parameters from relativistically expanding outflows
Bégué, D. [University of Roma "Sapienza," I-00185, p.le A. Moro 5, Rome (Italy); Iyyani, S. [Department of Physics, KTH Royal Institute of Technology, AlbaNova University Center, SE-106 91 Stockholm (Sweden)
2014-09-01T23:59:59.000Z
In many gamma-ray bursts a distinct blackbody spectral component is present, which is attributed to the emission from the photosphere of a relativistically expanding plasma. The properties of this component (temperature and flux) can be linked to the properties of the outflow and have been presented in the case where there is no sub-photospheric dissipation and the photosphere is in coasting phase. First, we present the derivation of the properties of the outflow for finite winds, including when the photosphere is in the accelerating phase. Second, we study the effect of localized sub-photospheric dissipation on the estimation of the parameters. Finally, we apply our results to GRB 090902B. We find that during the first epoch of this burst the photosphere is most likely to be in the accelerating phase, leading to smaller values of the Lorentz factor than the ones previously estimated. For the second epoch, we find that the photosphere is likely to be in the coasting phase.
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.
Robust Parameter Identification with Adaptive Sparse Grid-based ...
Maia Mahoney
2008-09-22T23:59:59.000Z
deterministic algorithms. This information ... parameter robustness analysis method that can be applied to any type of ... the possible parameter space using stochastic (such as the ..... sensitivity analyses were not performed as they quantify the.
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
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
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...
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
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...
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.
PARAMETER OPTIMIZATIONS FOR VACUUM LASER ACCELERATION AT ATF...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
PARAMETER OPTIMIZATIONS FOR VACUUM LASER ACCELERATION AT ATFBNL * V. Yakimenko , M. Babzien, I. Ben-Zvi, K. Kusche, I. Pogorelsky, X. Wang Brookhaven National Laboratory ,...
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
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
Ef?cient Parameter Estimation Using Implicit Statistical Inference
Patch Occupancy Models of Metapopulation Dynamics: Ef?cient Parameter. Estimation Using Implicit Statistical Inference. Atte Moilanen. Ecology, Vol. 80, No
Evaluation of testing and reservoir parameters in geothermal...
and Boise, Idaho Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Proceedings: Evaluation of testing and reservoir parameters in geothermal wells at...
Understanding the Role of Hot Isostatic Pressing Parameters on...
Office of Scientific and Technical Information (OSTI)
Understanding the Role of Hot Isostatic Pressing Parameters on the Microstructural Evolution of Ti-6Al-4V and Inconel 718 Fabricated by Electron Beam Melting Citation Details...
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
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
Continuous simulation of hypothetical physics processes with multiple free parameters
Jiahang Zhong; Run-Sheng Huang; Shih-Chang Lee
2012-05-31T23:59:59.000Z
We propose a new approach to simulate hypothetical physics processes which are defined by multiple free parameters. Compared to the conventional grid-scan approach, the new method can produce accurate estimations of the detector acceptance and signal event yields continuously over the parameter space with fewer simulation events. The performance of this method is illustrated with two realistic cases.
Parameter Estimation for the Heat Equation on Perforated Domains
Parameter Estimation for the Heat Equation on Perforated Domains H.T. Banks1 , D. Cioranescu2 , A: Inverse problems, parameter estimation, perforated domains, homogeniza- tion, thermal diffusion, ordinary porous samples by use of solutions of a heat equation on a randomly perforated domain. As noted
Parameter Estimation for the Heat Equation on Perforated Domains
Parameter Estimation for the Heat Equation on Perforated Domains H.T. Banks1 , D. Cioranescu2 , A for simulated data for heat flow in a porous medium. We consider data simulated from a model on a perforated Words: Inverse problems, parameter estimation, perforated domains, homogeniza- tion, thermal diffusion
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.
Estimation of Groundwater Flow Parameters Using Least Squares
Estimation of Groundwater Flow Parameters Using Least Squares K.R. Bailey \\Lambda , B state flow parameters in a groundwater model. We test the approach on numerically generated data algorithm is implemented in parallel using PVM. 1 Introduction The successful modeling of groundwater flow
A note on exclusion statistics parameter and Hausdorff dimension
Wellington da Cruz
1998-03-05T23:59:59.000Z
We obtain for an anyon gas in the high temperature limit a relation between the exclusion statistics parameter $g$ and the Hausdorff dimension $h$, given by $g=h(2-h)$. The anyonic excitations are classified into equivalence classes labeled by Hausdorff dimension, $h$, and in that limit, the parameter $g$ give us the second virial coefficient for any statistics, $\
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
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
EELE408 Photovoltaics Lecture 11: Solar Cell Parameters
Kaiser, Todd J.
1 EELE408 Photovoltaics Lecture 11: Solar Cell Parameters Dr. Todd J. Kaiser tjkaiser@ece.montana.edu Department of Electrical and Computer Engineering Montana State University - Bozeman Solar Cell Parameters circuit current is the current through the cell when the voltage across the cell is zero (the solar cell
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.
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
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.
Design of Optimal Experiments for Parameter Estimation of Microalgae
Paris-Sud XI, Université de
Design of Optimal Experiments for Parameter Estimation of Microalgae Growth Models Rafael Mu of microalgae growth useful tools for prediction and process optimization, reliable parameters need the effect of temperature and light on microalgae growth. On the basis of a mathematical model
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
Exploring the interdependencies between parameters in a material model.
Silling, Stewart Andrew [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Fermen-Coker, Muge [Aberdeen Proving Ground, MD, Aberdeen, MD (United States)
2014-01-01T23:59:59.000Z
A method is investigated to reduce the number of numerical parameters in a material model for a solid. The basis of the method is to detect interdependencies between parameters within a class of materials of interest. The method is demonstrated for a set of material property data for iron and steel using the Johnson-Cook plasticity model.
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
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.
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
Allen, Matthew S.
Identifying parameters of nonlinear structural dynamic systems using linear time- periodic nonlinearity. 1. Introduction Most dynamical systems behave nonlinearly in the most general scenario. This can point bifurcation [1], in rotor dynamic systems with bearing contact nonlinearities [2], in biomechanics
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...
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.
Won, Chang-Hee
Abstract-- We present the Parameter Robust Risk-Sensitive control theory to deal with the parameter, and are reflected in the cost function and the noise models. This new method improves the tolerance of a controller control application. The linearized version of the satellite structure attitude model is derived
Entrainment parameters in cold superfluid neutron star core
Nicolas Chamel; Pawel Haensel
2006-09-13T23:59:59.000Z
Hydrodynamical simulations of neutron star cores, based on a two fluid description in terms of a neutron-proton superfluid mixture, require the knowledge of the Andreev-Bashkin entrainment matrix which relates the momentum of one constituent to the currents of both constituents. This matrix is derived for arbitrary nuclear asymmetry at zero temperature and in the limits of small relative currents in the framework of the energy density functional theory. The Skyrme energy density functional is considered as a particular case. General analytic formulae for the entrainment parameters and various corresponding effective masses are obtained. These formulae are applied to the liquid core of a neutron star, composed of an homogeneous plasma of nucleons, electrons and possibly muons in beta equilibrium.
Entropy bounds in terms of the w parameter
Abreu, Gabriel; Visser, Matt
2011-01-01T23:59:59.000Z
In a pair of recent articles [PRL 105 (2010) 041302 - arXiv:1005.1132; JHEP 1103 (2011) 056 - arXiv:1012.2867] two of the current authors have developed an entropy bound for equilibrium uncollapsed matter using only classical general relativity, basic thermodynamics, and the Unruh effect. An odd feature of that bound, S parameter to be <= 1. When equality holds, the entropy bound saturates at the value expected based on black hole thermodynamics. We also add some clarifying comments regarding the (net) positivity of the chemical potential. Overall, we find that even in the absence of any black hole region, we can nevertheless get arbitrarily close to the Bekenstein entropy.
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...
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.
Identification of kinematic parameters using several models with experimental verification
Rho, Jae Jeung
1988-01-01T23:59:59.000Z
For Model 2 50 51 55 55 4. 5 The Set Of Calibrated Parameters For Model 3 4. 6 The Set Of Calibrated Orientation Parameters For Model 4 4. 7 The Set Of Calibrated Translation Parameters For Model 4 56 5l 4. 8 The Calibration Result For Model 1 4... be described as (2 7) This process is continued until the rotation of each joint has been included. Then the final configuration of a robot end-effector jAi) may be expressed as 17 (-+~( = (Trl(?l(Ts](T4l(T;I(Tsl(-~. ( and the total transformation matrix...
Comments on Different techniques for finding best-fit parameters
Fenimore, Edward E. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Triplett, Laurie A. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
2014-07-01T23:59:59.000Z
A common data analysis problem is to find best-fit parameters through chi-square minimization. Levenberg-Marquardt is an often used system that depends on gradients and converges when successive iterations do not change chi-square more than a specified amount. We point out in cases where the sought-after parameter weakly affects the fit and cases where the overall scale factor is a parameter, that a Golden Search technique can often do better. The Golden Search converges when the best-fit point is within a specified range and that range can be made arbitrarily small. It does not depend on the value of chi-square.
Impacts of Some Building Design Parameters on Heat Pump Applications
Erdim, B.; Manioglu, G.
2011-01-01T23:59:59.000Z
. In this study; in order to provide energy conservation and climatic comfort in buildings, an approach which aims to control the energy consumption of heat pumps by controlling decisions related to building design parameters have been developed. For this purpose...
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 $a_0$.
Topics on Regularization of Parameters in Multivariate Linear Regression
Chen, Lianfu
2012-02-14T23:59:59.000Z
My dissertation mainly focuses on the regularization of parameters in the multivariate linear regression under different assumptions on the distribution of the errors. It consists of two topics where we develop iterative procedures to construct...
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...
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 ...
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.
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
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...
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. ...
Mesoscale ensemble-based data assimilation and parameter estimation
Aksoy, Altug
2005-11-01T23:59:59.000Z
-1 MESOSCALE ENSEMBLE-BASED DATA ASSIMILATION AND PARAMETER ESTIMATION A Dissertation by ALTUG AKSOY Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR... OF PHILOSOPHY August 2005 Major Subject: Atmospheric Sciences MESOSCALE ENSEMBLE-BASED DATA ASSIMILATION AND PARAMETER ESTIMATION A Dissertation by ALTUG AKSOY Submitted to the Office of Graduate Studies of Texas A...
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.
Assessment of operating parameter variation on electrostatic precipitator performance
Gunn, Roam Anthony
1974-01-01T23:59:59.000Z
ASSESSMENT OF OPERATING PARAMETER VARIATION ON ELECTROSTATIC PRECIPITATOR PERFORMANCE A Thesis by ROAM ANTHONY GUNN Submitted to the Graduate Co11ege of Texas MM University in partia1 fu1fi 11ment of the requirement for the degree of MASTER... OF SCIENCE Oecember 1974 Major Subject: Civi1 Engineering ASSESSMENT OF OPERATING PARAMETER VARIATION ON ELECTROSTATIC PRECIPITATOR PERFORMANCE A Thesis by ROAM ANTHONY GUNN Approved as to sty1e and content by: (Chairman of C ittee) (Head...
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
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.
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.
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.
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.
Quasi-matter domination parameters in bouncing cosmologies
Emili Elizalde; Jaume Haro; Sergei D. Odintsov
2015-03-04T23:59:59.000Z
For bouncing cosmologies, a fine set of parameters is introduced in order to describe the nearly matter dominated phase, and which play the same role that the usual slow-roll parameters play in inflationary cosmology. It is shown that, as in the inflation case, the spectral index and the running parameter for scalar perturbations in bouncing cosmologies can be best expressed in terms of these small parameters. Further, they explicitly exhibit the duality which exists between a nearly matter dominated Universe in its contracting phase and the quasi de Sitter regime in the expanding one. The results obtained also confirm and extend the known evidence that the spectral index for a matter dominated Universe in the contracting phase is, in fact, the same as the spectral index for an exact Sitter regime in the expanding phase. Finally, in both the inflationary and the matter bounce scenarios, the theoretical values of the spectral index and of the running parameter are compared with their experimental counterparts, obtained from the most recent PLANCK data, with the result that the bouncing models here discussed do fit well accurate astronomical observations.
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.
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
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.
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.
COSMOLOGICAL PARAMETERS FROM SUPERNOVAE ASSOCIATED WITH GAMMA-RAY BURSTS
Li, Xue; Hjorth, Jens; Wojtak, Rados?aw, E-mail: lixue@dark-cosmology.dk [Dark Cosmology Centre, Niels Bohr Institute, University of Copenhagen, Juliane Maries Vej 30, DK-2100 Copenhagen (Denmark)
2014-11-20T23:59:59.000Z
We report estimates of the cosmological parameters ? {sub m} and ?{sub ?} obtained using supernovae (SNe) associated with gamma-ray bursts (GRBs) at redshifts up to 0.606. Eight high-fidelity GRB-SNe with well-sampled light curves across the peak are used. We correct their peak magnitudes for a luminosity-decline rate relation to turn them into accurate standard candles with dispersion ? = 0.18 mag. We also estimate the peculiar velocity of the low-redshift host galaxy of SN 1998bw using constrained cosmological simulations. In a flat universe, the resulting Hubble diagram leads to best-fit cosmological parameters of (?{sub m},?{sub ?})=(0.58{sub ?0.25}{sup +0.22},0.42{sub ?0.22}{sup +0.25}). This exploratory study suggests that GRB-SNe can potentially be used as standardizable candles to high redshifts to measure distances in the universe and constrain cosmological parameters.
Impact of the local void on the cosmological parameters
Yu, Bo, E-mail: yubo@pmo.ac.cn [Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210008 (China)
2013-03-01T23:59:59.000Z
In this paper, I discuss the effects of a local void on the cosmological parameters. It is found that, if the supernova distance is absolutely calibrated, then the bias of all the cosmological parameters is always important, while if the supernova distance is relatively calibrated, the largest effects will appear in the dark energy equation of state. For a local void of size ? 100 Mpc, the bias effects mainly manifest in the low redshift range. Therefore, the piecewise dark energy equation of state, especially the one in the range of lowest redshift, will be more strongly affected than the constant equation of state. In order to reduce this bias in constraining the cosmological parameters, one could require the distance of all the adopted supernovas be greater than 1.2 ? 1.5 times of the radius of the local void. In this case, the residual bias can be safely ignored.
Identification of slow molecular order parameters for Markov model construction
Perez-Hernandez, Guillermo; Giorgino, Toni; de Fabritiis, Gianni; Noé, Frank
2013-01-01T23:59:59.000Z
A goal in the kinetic characterization of a macromolecular system is the description of its slow relaxation processes, involving (i) identification of the structural changes involved in these processes, and (ii) estimation of the rates or timescales at which these slow processes occur. Most of the approaches to this task, including Markov models, Master-equation models, and kinetic network models, start by discretizing the high-dimensional state space and then characterize relaxation processes in terms of the eigenvectors and eigenvalues of a discrete transition matrix. The practical success of such an approach depends very much on the ability to finely discretize the slow order parameters. How can this task be achieved in a high-dimensional configuration space without relying on subjective guesses of the slow order parameters? In this paper, we use the variational principle of conformation dynamics to derive an optimal way of identifying the "slow subspace" of a large set of prior order parameters - either g...
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.
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.
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.
Considerations for design parameters for a dedicated medical accelerator
Alonso, J.R.
1980-10-01T23:59:59.000Z
There are only a very few critical parameters which determine the size, performance and cost of a heavy ion accelerator. These are the mass of the heaviest ion desired, the maximum range of this heaviest ion in tissue, and the highest intensity desired. Other parameters, such as beam emittance, beam delivery flexibility, reliability and experimental facility configurations are important, but are not primary driving factors in the design effort. The various clinical applications for a heavy ion accelerator are evaluated, detailing the most desirable beams for each application.
Parameters for landfill-liner leak-rate model
Bahrt, Steven Carlton
1985-01-01T23:59:59.000Z
PARAMETERS FOR LANDFILL-LINER LEAK-RATE MODEL A Thesis by STEVEN CARLTON BAHRT Submitted to the Graduate College of Texas ASM University i n partial fulfillment of the requirements for the degree of MASTER OF SCIENCE December 1985 Major... Subject: Civil Engineering PARAMETERS FOR LANDFILL-LINER LEAK-RATE MODEL A Thesis by STEVEN CARLTON BAHRT Approved as to style and content by: Rob nt Lytto (Co-Cha' man of C mmittee) ayne Dunl p (Member) Kink W. Brown (Co-Chairman of Committee...
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.
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...
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.
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
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
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.
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
Parameter space study of magnetohydrodynamic flows around magnetized compact objects
Santabrata Das; Sandip K. Chakrabarti
2007-06-20T23:59:59.000Z
We solve the magnetohydrodynamic (MHD) equations governing axisymmetric flows around neutron stars and black holes and found all possible solution topologies for adiabatic accretion. We divide the parameter space spanned by the conserved energy and angular momentum of the flow in terms of the flow topologies. We also study the possibility of the formation of the MHD shock waves.
Parameter Synthesis in Nonlinear Dynamical Systems: Application to Systems Biology
Langmead, Christopher James
Parameter Synthesis in Nonlinear Dynamical Systems: Application to Systems Biology Alexandre Donz. The dynamics of biological processes are often modeled as systems of nonlinear ordinary differential equations problem for nonlinear dynamical systems. That is, for systems of nonlinear ordinary differential equations
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
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.
OPTIMIZATION OF STELLARATOR REACTOR PARAMETERS J. F. Lyon1
, but with smaller size and higher wall power density (hence lower cost of electricity) by taking advantage of newly reactor systems/optimization code to optimize the reactor parameters for minimum cost of electricity plasma and coil configurations are analyzed for their potential as reactors. A 0-D (volume-average
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
Cosmological parameters from lensing power spectrum and bispectrum tomography
Masahiro Takada; Bhuvnesh Jain
2005-07-20T23:59:59.000Z
We examine how lensing tomography with the bispectrum and power spectrum can constrain cosmological parameters and the equation of state of dark energy. Our analysis uses the full information at the two- and three-point level from angular scales of a few degrees to 5 arcminutes (50 < l < 3000), which will be probed by lensing surveys. We use all triangle configurations, cross-power spectra and bispectra constructed from up to three redshift bins with photometric redshifts, and relevant covariances in our analysis. We find that the parameter constraints from bispectrum tomography are comparable to those from power spectrum tomography. Combining the two improves parameter accuracies by a factor of three due to their complementarity. For the dark energy parameterization w(a) = w0 + wa(1-a), the marginalized errors from lensing alone are sigma(w0) = 0.03 fsky^{-1/2} and sigma(wa) = 0.1 fsky^{-1/2}. We show that these constraints can be further improved when combined with measurements of the cosmic microwave background or Type Ia supernovae. The amplitude and shape of the mass power spectrum are also shown to be precisely constrained. We use hyper-extended perturbation theory to compute the nonlinear lensing bispectrum for dark energy models. Accurate model predictions of the bispectrum in the moderately nonlinear regime, calibrated with numerical simulations, will be needed to realize the parameter accuracy we have estimated. Finally, we estimate how well the lensing bispectrum can constrain a model with primordial non-Gaussianity.
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
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 of recovering the coe#cient functions in the groundwater transport equation from piezometric head to resort to indirect, or inverse, techniques to populate the model. In a groundwater system one
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 of recovering the coefficient functions in the groundwater transport equation from piezometric head one has to resort to indirect, or inverse, techniques to populate the model. In a groundwater system
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
Revised Parameters for the AMOEBA Polarizable Atomic Multipole Water Model
Ponder, Jay
Revised Parameters for the AMOEBA Polarizable Atomic Multipole Water Model Marie L. Laury,, Lee for the AMOEBA polarizable atomic multipole water model is developed. An automated procedure, Force. With advances in computing power, calibration data, and optimization techniques, we recommend the use
Primordial nucleosynthesis as a probe of fundamental physics parameters
Thomas Dent; Steffen Stern; Christof Wetterich
2007-08-10T23:59:59.000Z
We analyze the effect of variation of fundamental couplings and mass scales on primordial nucleosynthesis in a systematic way. The first step establishes the response of primordial element abundances to the variation of a large number of nuclear physics parameters, including nuclear binding energies. We find a strong influence of the n-p mass difference (for the 4He abundance), of the nucleon mass (for deuterium) and of A=3,4,7 binding energies (for 3He, 6Li and 7Li). A second step relates the nuclear parameters to the parameters of the Standard Model of particle physics. The deuterium, and, above all, 7Li abundances depend strongly on the average light quark mass hat{m} \\equiv (m_u+m_d)/2. We calculate the behaviour of abundances when variations of fundamental parameters obey relations arising from grand unification. We also discuss the possibility of a substantial shift in the lithium abundance while the deuterium and 4He abundances are only weakly affected.
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
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
Hafnium Resonance Parameter Analysis using Neutron Capture and Transmission Experiments
Danon, Yaron
LINAC, and also can correct for multiple scattering effects in neutron capture yield data. The combinedHafnium Resonance Parameter Analysis using Neutron Capture and Transmission Experiments Michael J and 178 Hf resonances near 8 eV. The large neutron cross section of hafnium, combined with its corrosion
Constructing Fusion Frames with Desired Parameters Robert Calderbank,1
Kutyniok, Gitta
Constructing Fusion Frames with Desired Parameters Robert Calderbank,1 Peter G. Casazza,2 Andreas Colorado State University, Fort Collins, CO 80523-1373, USA ABSTRACT A fusion frame is a frame representation. In this paper, we study the existence and construction of fusion frames. We first introduce two
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.
Nonlinear Adaptive Parameter Estimation Techniques for Magnetic Transducers Operating
Wire Solenoid Permanent Magnet Terfenol-D Rod Compression Bolt Spring Washer Cutting Head -1 -0.5 0 0Nonlinear Adaptive Parameter Estimation Techniques for Magnetic Transducers Operating in Hysteretic to generate large forces while maintaining highly accurate set point placement. This has led to their use
Identification and Tracking of Parameters for a Large Synchronous Generator
was to describe a method to identify synchronous machine parame- ters from on-line measurements and to develop of Contents Section Page 1 Introduction 1 2 Modeling synchronous machines 2 3 State estimation and the MooreIdentification and Tracking of Parameters for a Large Synchronous Generator Final Project Report
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
Resummed $C$-Parameter Distribution in $e^+e^-$ Annihilation
S. Catani; B. R. Webber
1998-01-19T23:59:59.000Z
We give perturbative predictions for the distribution of the $C$-Parameter event shape variable in $e^+e^-$ annihilation, including resummation of large logarithms in the two-jet (small-$C$) region, matched to next-to-leading order results. We also estimate the leading non-perturbative power correction and make a preliminary comparison with experimental data.
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.
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.
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 Taher-shamsi2 ; and Ampar V. Shetty3 Abstract: An analytical model of flood wave propagation is used to study the sensitivity of dam-breach flood waves to breach-outflow hydrograph volume, peak discharge
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 these classes of systems, e.g. when predicting the power production from new wind farms. 4 #12;1 Introduction
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
Online Support Vector Regression with Varying Parameters for Time-Dependent Data
Omitaomu, Olufemi A [ORNL; Jeong, Myong K [ORNL; Badiru, Adedeji B [ORNL
2011-01-01T23:59:59.000Z
Support vector regression (SVR) is a machine learning technique that continues to receive interest in several domains including manufacturing, engineering, and medicine. In order to extend its application to problems in which datasets arrive constantly and in which batch processing of the datasets is infeasible or expensive, an accurate online support vector regression (AOSVR) technique was proposed. The AOSVR technique efficiently updates a trained SVR function whenever a sample is added to or removed from the training set without retraining the entire training data. However, the AOSVR technique assumes that the new samples and the training samples are of the same characteristics; hence, the same value of SVR parameters is used for training and prediction. This assumption is not applicable to data samples that are inherently noisy and non-stationary such as sensor data. As a result, we propose Accurate On-line Support Vector Regression with Varying Parameters (AOSVR-VP) that uses varying SVR parameters rather than fixed SVR parameters, and hence accounts for the variability that may exist in the samples. To accomplish this objective, we also propose a generalized weight function to automatically update the weights of SVR parameters in on-line monitoring applications. The proposed function allows for lower and upper bounds for SVR parameters. We tested our proposed approach and compared results with the conventional AOSVR approach using two benchmark time series data and sensor data from nuclear power plant. The results show that using varying SVR parameters is more applicable to time dependent data.
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.
Li, Xuefeng, E-mail: lixfpost@163.com [School of Science, Xi'an University of Post and Telecommunications, Xi'an, 710121 (China)] [School of Science, Xi'an University of Post and Telecommunications, Xi'an, 710121 (China); Cao, Guangzhan; Liu, Hongjun [Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, 710119 (China)] [Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, 710119 (China)
2014-04-15T23:59:59.000Z
Based on solving numerically the generalized nonlinear Langevin equation describing the nonlinear dynamics of stochastic resonance by Fourth-order Runge-Kutta method, an aperiodic stochastic resonance based on an optical bistable system is numerically investigated. The numerical results show that a parameter-tuning stochastic resonance system can be realized by choosing the appropriate optical bistable parameters, which performs well in reconstructing aperiodic signals from a very high level of noise background. The influences of optical bistable parameters on the stochastic resonance effect are numerically analyzed via cross-correlation, and a maximum cross-correlation gain of 8 is obtained by optimizing optical bistable parameters. This provides a prospective method for reconstructing noise-hidden weak signals in all-optical signal processing systems.
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.
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.
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..
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
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.
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.
Agricultural and Environmental Input Parameters for the Biosphere Model
K. Rasmuson; K. Rautenstrauch
2004-09-14T23:59:59.000Z
This analysis is one of 10 technical reports that support the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN) (i.e., the biosphere model). It documents development of agricultural and environmental input parameters for the biosphere model, 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 the repository at Yucca Mountain. The ERMYN provides the TSPA with the capability to perform dose assessments. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships between the major activities and their products (the analysis and model reports) that were planned in ''Technical Work Plan for Biosphere Modeling and Expert Support'' (BSC 2004 [DIRS 169573]). The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the ERMYN and its input parameters.
Watt parameters for the Los Alamos Model : Subroutine getab
J. P. Lestone
2014-09-18T23:59:59.000Z
Many neutron transport Monte-Carlo codes can randomly sample fission neutron energies from a Watt spectrum. The quality of simulations depends on how well the Watt spectrum represents the true energy spectrum of the fission neutrons, and on one's choice of the Watt parameters a and b. The energy spectra of fission neutrons have been calculated and tabulated for the neutron induced fission of 235,238U and 239Pu as a function of incoming neutron energy by Madland using the Los Alamos Model. Each of these energy spectra are mapped into time-of-flight space and fitted with a Watt spectrum. A subroutine getab has been written to interpolate these results, so that Watt a and b parameters can be estimated for all incoming neutron energies up to ~16 MeV.
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.
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.
Performance and safety parameters for the high flux isotope reactor
Ilas, G. [Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37831-6172 (United States); Primm III, T. [Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37831-6172 (United States); Primm Consulting, LLC, 945 Laurel Hill Road, Knoxville, TN 37923 (United States)
2012-07-01T23:59:59.000Z
A Monte Carlo depletion model for the High Flux Isotope Reactor (HFIR) Cycle 400 and its use in calculating parameters of relevance to the reactor performance and safety during the reactor cycle are presented in this paper. This depletion model was developed to serve as a reference for the design of a low-enriched uranium (LEU) fuel for an ongoing study to convert HFIR from high-enriched uranium (HEU) to LEU fuel; both HEU and LEU depletion models use the same methodology and ENDF/B-VII nuclear data as discussed in this paper. The calculated HFIR Cycle 400 parameters, which are compared with measurement data from critical experiments performed at HFIR, data included in the HFIR Safety Analysis Report (SAR), or data reported by previous calculations, provide a basis for verification or updating of the corresponding SAR data. (authors)
Performance and Safety Parameters for the High Flux Isotope Reactor
Ilas, Germina [ORNL; Primm, Trent [Primm Consulting, LLC
2012-01-01T23:59:59.000Z
A Monte Carlo depletion model for the High Flux Isotope Reactor (HFIR) Cycle 400 and its use in calculating parameters of relevance to the reactor performance and safety during the reactor cycle are presented in this paper. This depletion model was developed to serve as a reference for the design of a low-enriched uranium (LEU) fuel for an ongoing study to convert HFIR from high-enriched uranium (HEU) to LEU fuel; both HEU and LEU depletion models use the same methodology and ENDV/B-VII nuclear data as discussed in this paper. The calculated HFIR Cycle 400 parameters, which are compared when available with measurement data from critical experiments performed at HFIR, data included in the HFIR Safety Analysis Report (SAR), or data reported by previous calculations, provide a basis for verification or updating of the corresponding SAR data.
Identification of kinematic parameters using several models with experimental verification
Rho, Jae Jeung
1988-01-01T23:59:59.000Z
. Now, in addition to repeatability, the absolute positioning accuracy of the robot must be considered. Throughout this thesis, the end-effector position represents the origin of the en. d-effector coordinate frame and the end-efi'ector orientation... of robot positioning error. In this work, four robot models containing various combinations of these error sources are developed. A. calibration procedure is then conducted to determine the set of parameters in each model to make that model predict a...
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...
Gradients of meteorological parameters in convective and nonconvective areas
McCown, Milton Samuel
1976-01-01T23:59:59.000Z
involve horizontal gradients. For example, the equations of motion relate wind speed to pressure gradient, and the thermal wind equation relates vertical wind shear to the horizontal temperature gradient. The study of gradients may help... GRADIENTS OF METEOROLOGICAL PARAMETERS IN CONVECTIVE AND NONCONVECTIVE AREAS A Thesis by Milton Samuel McCown Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the degree of MASTER...
RUMEN DIGESTION PARAMETERS IN LAMBS FED WITH PELLETED DIET
Paris-Sud XI, Université 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
On The Integral Invariant With Respect to a parameter
Valery Fabrikant
2012-10-13T23:59:59.000Z
Author presents a study of certain category of the integrals, which might look quite difficult to compute, but in fact are easily computable, because they do not depend on the parameter in the integrand. As simple and elementary the procedure is, the author discovered that the best of symbolic manipulation packages presently available fail quite miserably, when asked to compute these integrals. The author suggests proper modifications in the algorithms used for symbolic integration.
On the empirical statistics of parameter estimates in parametric modeling
Zhu, Yao
1988-01-01T23:59:59.000Z
Chair of Advisory Committee: Dr. Shiping Li This thesis is a document of studying empirical statistics of the parameter estimates in parametric modeling. After reviewing some common estimation methods, some simulation results on the empirical..., a new estimation method is proposed to improve the accuracy of the estimates for ARMA models. In chapter four, a new estimation method is proposed for exponential models. This method first utilizes singular value decomposition of the signal...
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.
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.
Machine learning of parameters for accurate semiempirical quantum chemical calculations
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Dral, Pavlo O.; von Lilienfeld, O. Anatole; Thiel, Walter
2015-04-14T23:59:59.000Z
We investigate possible improvements in the accuracy of semiempirical quantum chemistry (SQC) methods through the use of machine learning (ML) models for the parameters. For a given class of compounds, ML techniques require sufficiently large training sets to develop ML models that can be used for adapting SQC parameters to reflect changes in molecular composition and geometry. The ML-SQC approach allows the automatic tuning of SQC parameters for individual molecules, thereby improving the accuracy without deteriorating transferability to molecules with molecular descriptors very different from those in the training set. The performance of this approach is demonstrated for the semiempiricalmore »OM2 method using a set of 6095 constitutional isomers C7H10O2, for which accurate ab initio atomization enthalpies are available. The ML-OM2 results show improved average accuracy and a much reduced error range compared with those of standard OM2 results, with mean absolute errors in atomization enthalpies dropping from 6.3 to 1.7 kcal/mol. They are also found to be superior to the results from specific OM2 reparameterizations (rOM2) for the same set of isomers. The ML-SQC approach thus holds promise for fast and reasonably accurate high-throughput screening of materials and molecules.« less
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.
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 switchmore »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.« less
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.
Ma, Lena
1. Title Study on Groundwater Quality Parameter Variation Due to Temperature Change in Calibration of Florida, Gainesville, FL 4. Abstract Measurement of groundwater quality parameters is essential shown that there is some variation in measured groundwater quality parameters when
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.
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.
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.
Hutt, Axel
that rectification is the only required non-linearity and formalize the use of this simplified but efficient it is a generally a non linear consequence of both the lateral connectivity pattern and the input pattern. ThusON PRACTICAL NEURAL FIELD PARAMETERS ADJUSTMENT Fr´ed´eric Alexandre, J´eremy Fix, Axel Hutt
AUTOMATIC PARAMETER SETTING FOR ITERATIVE SHRINKAGE METHODS Raja Giryes, Michael Elad
Eldar, Yonina
AUTOMATIC PARAMETER SETTING FOR ITERATIVE SHRINKAGE METHODS Raja Giryes, Michael Elad Technion- dressed the automatic tuning of based on a generalized Stein Unbiased Risk Estimator (SURE) of the mean. We also show that the proposed scheme serves as a very reliable automatic halting mechanism
Polynomial Chaos expansion for subsurface flows with uncertain soil parameters P. Sochalaa,
are studied on subsurface flows modeled by Richards' equation. The empirical parameters of the water content, Richards' equation, non-intrusive spectral decomposition 1. Introduction Water infiltration in soil is one. The more general model to describe air- water flows in soil is a two-phase flow system which can
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
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
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).
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
Is the CMB shift parameter connected with the growth of cosmological perturbations?
S. Basilakos; S. Nesseris; L. Perivolaropoulos
2008-04-10T23:59:59.000Z
We verify numerically that in the context of general relativity (GR), flat models which have the same $\\Omega_{\\rm m}$ and CMB shift parameter $R$ but different $H(a)$ and $w(a)$ also have very similar (within less than 8%) growth of perturbations even though the dark energy density evolution is quite different. This provides a direct connection between geometrical and dynamical tests of dark energy and may be used as a cosmological test of general relativity.
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.
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.
Kolmogorov stochasticity parameter as a measure of quantum chaos
Shashi C. L. Srivastava; Sudhir R. Jain
2011-01-28T23:59:59.000Z
We propose the Kolmogorov stochasticity parameter, $\\lambda$ for energy level spectra to classify quantum systems with corresponding classical dynamics ranging from integrable to chaotic. We also study the probability distribution function (PDF) of $\\lambda$. Remarkably, the PDF of all the integrable systems studied here is the same and is found to be completely different from the PDF of chaotic systems. We also note that $\\lambda_n$ for $n$ energy levels scales as $\\lambda_n \\sim n^{-\\alpha}$. Furthermore, with $\\alpha$, the stochastic probability (calculated from PDF) is seen to jump by about an order of magnitude as the systems turn chaotic.
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.
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.
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...
COMPUTATION OF COVARIANCE MATRICES FOR CONSTRAINED PARAMETER ESTIMATION PROBLEMS
Stanford University
f1(x) 2 2 s.t. f2(x) = 0, (1.1) where f1(x) is a vector of weighted residuals for a model of the form i = M(xtrue, ti) + i, i = 1, . . . , m1. (1.2) Thus, f1(x) = (1 - M(x, t1))/ ... (m1 - M(x, tm1 ))/ , f1(x) 2 2 := m1 i=1 (i - M(x, ti))2 2 . (1.3) The model M(x, t) R that describes the parameter
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.
Identification of parameters in building concentration dispersion model
Calogine, D; Ndoumbe, S; Rivière, C; Miranville, F
2012-01-01T23:59:59.000Z
The aim of this work is to simulate the pollutants transport in buildings. Focusing mainly on the presence of CO2, firstly we resolve the airflow equations for two typical validation cases, the Rao case and the IEA case. These numerical results are compared to the most known software and they are used to evaluate of the evolution of CO2 concentration in the different rooms. In order to obtain the different parameters and filters of the proposed model we use a statistical method based on Bayesian inference. The final comparison of results is coherent but a complementary experimental procedure is necessary to calibrate and refine the model
Blind node in peach: environmental and genetic parameters
Boonprakob, Unaroj
1991-01-01T23:59:59.000Z
. 61 4. 2 The regression between the section parameter and the percentage of blind nodes of the selected peach genotypes . 62 5. 1 The procedure of Safranin-Fast Green staining used in the anatomical study. . 79 5. 2 Transverse section of 'Earli... for the observation in 1989. These cultivars were at Texas A&M University farm, College Station (CS); and at Texas Agricultural Experiment Station, Yoakum (YM). Two cultivars: 'Flordaprince' and 'EarliGrande, ' at a private orchard in Weslaco (WS) were also...
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.
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... UPTAKE OF NORWOOD SOIL 12 TOTAL METAL UPTAKE OF NACOGDOCHES SOIL 13 TOTAL METAL UPTAKE OF BASTROP SOIL 14 COMPETITION ANALYSIS FOR CADMIUM 13 25 30 35 40 48 50 51 59 LIST OF FIGURES FIGURE DETERMINATION OF AVAILABLE METALS - SPLIT I...
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.
DEVELOPMENT OF VADOSE-ZONE HYDRAULIC PARAMETER VALUES
ROGERS PM
2008-01-21T23:59:59.000Z
Several approaches have been developed to establish a relation between the soil-moisture retention curve and readily available soil properties. Those relationships are referred to as pedotransfer functions. Described in this paper are the rationale, approach, and corroboration for use of a nonparametric pedotransfer function for the estimation of soil hydraulic-parameter values at the yucca Mountain area in Nevada for simulations of net infiltration. This approach, shown to be applicable for use at Yucca Mountain, is also applicable for use at the Hanford Site where the underlying data were collected.
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]).
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...
Variability of modal parameters measured on the Alamosa Canyon Bridge
Farrar, C.R.; Doebling, S.W. [Los Alamos National Lab., NM (United States); Cornwell, P.J.; Straser, E.G. [Stanford Univ., CA (United States). J.A. Blume Earthquake Engineering Center
1996-12-31T23:59:59.000Z
A significant amount of work has been reported in technical literature regarding the use of changes in modal parameters to identify the location and extent of damage in structures. Curiously absent, and critically important to the practical implementation of this work, is an accurate characterization of the natural variability of these modal parameters caused by effects other than damage. To examine this issue, a two-lane, seven-span, composite slab-on-girder bridge near the town of Truth or Consequences in southern New Mexico was tested several times over a period of nine months. Environmental effects common to this location that could potentially produce changes in the measured modal properties include changes in temperature, high winds, and changes to the supporting soil medium. In addition to environmental effects, variabilities in modal testing procedures and data reduction can also cause changes in the identified dynamic properties of the structure. In this paper the natural variability of the frequencies and mode shapes of the Alamosa Canyon bridge that result from changes in time of day when the test was performed, amount of traffic, and environmental conditions will be discussed. Because this bridge has not been in active use throughout the testing period, it is assumed that any change in the observed modal properties are the result of the factors listed above rather than deterioration of the structure itself.
Experimental determination of equivalent circuit parameters for PM synchronous motors
Consoli, A.; Raciti, A. (Dept. Elettrico Elettronico e Sistemistico, Univ. di Catania, 95125 Catania (IT))
1992-01-01T23:59:59.000Z
The growing interest in energy savings, especially in industrial applications, has led to explore in more details the potential of unconventional excitation systems for electric machines. The wide spread use of Permanent Magnet materials in dc as well as in synchronous machines, to substitute the excitation circuit, is one of the ways followed to reach this objective. Significative work has been done in order to minimize the volume of the use permanent magnet material, to eliminate the motor behavior limitations due to the fixed value of excitation, to find the best geometries easy to manufacture and also reliable according to the dynamic stresses. A full procedure is presented in this paper to provide a straightforward tool useful for parameter determination of Permanent Magnet Synchronous Motors. Classical tests, that are well established to measure the parameters of synchronous machines with conventional field excitation, are reviewed to confirm or not their applicability. A novel test performed during particular transient conditions allows us to evaluate one of the concerned motor time constants. The motor behavior is simulated by means of a simulation language (ACSL) on a digital computer and several runs in different transient conditions are performed. Comparison of the simulated and experimental waveforms of speeds and currents shows good agreement and confirms the validity of the proposed procedure.
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.
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.
Schachinger, L.C.
2011-01-01T23:59:59.000Z
and Controlling Accelerator Physics Parameters at theLight Source for accelerator physics studies and accelerator
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
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,
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.
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).
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...
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.
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.
Measuring Resonance Parameters of Heavy Higgs Bosons at TESLA
Niels Meyer
2003-08-13T23:59:59.000Z
This study investigates the potential of the TESLA Linear Collider for measuring resonance parameters of Higgs bosons beyond the mass range studied so far. The analysis is based on the reconstruction of events from the Higgsstrahlung process e+e- -> HZ. It is shown that the total width, the mass and the event rate for Higgs production can be measured from the mass spectrum in a model independent fit. Also, the branching ratios to W- and Z-bosons can be measured, assuming these are the only relevant Higgs decay modes. The simulation includes realistic detector effects and all relevant Standard Model background processes. Results are given for mH=200-320 GeV assuming 500 fb^-1 integrated luminosity at collision energies of 500 GeV.
Photon collider at TESLA: parameters and interaction region issues
Valery Telnov
2001-01-04T23:59:59.000Z
Photon colliders (gamma-gamma, gamma-e) are based on backward Compton scattering of laser light off the high energy electrons of linear colliders. Recent study has shown that the gamma-gamma luminosity in the high energy peak can reach 0.3--0.5 L (e+e-). Typical cross sections of interesting processes in gamma-gamma collisions are higher than those in e+e- collisions by about one order of magnitude, so the number of events in gamma-gamma collisions will be more than that in e+e- collisions. In this paper possible parameters of a photon collider at TESLA and a laser scheme are briefly discussed.
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.
Synthesis, characterization, and thermodynamic parameters of vanadium dioxide
Qi Ji [Department of Chemical Engineering of Material, School of Chemical Engineering, Dalian University of Technology, 158 Zhongshan Road, Dalian 116012 (China); Department of Chemical Engineering, Dalian Life Science College, Dalian Nationalities University, 18 Laohe West Road, Dalian 116600 (China); Ning Guiling [Department of Chemical Engineering of Material, School of Chemical Engineering, Dalian University of Technology, 158 Zhongshan Road, Dalian 116012 (China)], E-mail: ninggl@dlut.edu.cn; Lin Yuan [Department of Chemical Engineering of Material, School of Chemical Engineering, Dalian University of Technology, 158 Zhongshan Road, Dalian 116012 (China)
2008-08-04T23:59:59.000Z
A novel process was developed for synthesizing pure thermochromic vanadium dioxide (VO{sub 2}) by thermal reduction of vanadium pentoxide (V{sub 2}O{sub 5}) in ammonia gas. The process of thermal reduction of V{sub 2}O{sub 5} was optimized by both experiments and modeling of thermodynamic parameters. The product VO{sub 2} was characterized by means of X-ray diffraction (XRD), X-ray photoelectron spectrometry (XPS), scanning electron microscopy (SEM), thermogravimetric analysis (TG), and differential scanning calorimetry (DSC). The experimental results indicated that pure thermochromic VO{sub 2} crystal particles were successfully synthesized. The phase transition temperature of the VO{sub 2} is approximately 342.6 K and the enthalpy of phase transition is 44.90 J/g.
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.
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 $\\sim 40%$.
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
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.
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.
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).
Rushmore, Forest Paul
1988-01-01T23:59:59.000Z
burial is a viable option to consider once the site specifics are known and the breakage parameters of whole ceramic vessels are quantified. Through a review of aboriginal physical and cultural remains from mound sites, it can be empirically... ABORIGINAL MOUNDS Mound Location and Construction Burials 24 29 32 37 TABLE OF CONTENTS (continued) ARCHAEOLOGICAL EVIDENCE 40 GENERAL SUMMARY OF MECHANICAL CONDITIONS . . . 55 PHYSICAL LAB TESTS Explanation of Experiments EXPERIMENTS...
Testing scalar-tensor theories and PPN parameters in Earth orbit
Andreas Schärer; Raymond Angélil; Ruxandra Bondarescu; Philippe Jetzer; Andrew Lundgren
2014-10-29T23:59:59.000Z
We compute the PPN parameters $\\gamma$ and $\\beta$ for general scalar-tensor theories in the Einstein frame, which we compare to the existing PPN formulation in the Jordan frame for alternative theories of gravity. This computation is important for scalar-tensor theories that are expressed in the Einstein frame, such as chameleon and symmetron theories, which can incorporate hiding mechanisms that predict environment-dependent PPN parameters. We introduce a general formalism for scalar-tensor theories and constrain it using the limit on $\\gamma$ given by the Cassini experiment. In particular we discuss massive Brans-Dicke scalar fields for extended sources. Next, using a recently proposed Earth satellite experiment, in which atomic clocks are used for spacecraft tracking, we compute the observable perturbations in the redshift induced by PPN parameters deviating from their general relativistic values. Our estimates suggest that $|\\gamma - 1| \\sim |\\beta -1| \\sim 10^{-6}$ may be detectable by a satellite that carries a clock with fractional frequency uncertainty $\\Delta f/f \\sim 10^{-16}$ in an eccentric orbit around the Earth. Such space experiments are within reach of existing atomic clock technology. We discuss further the requirements necessary for such a mission to detect deviations from Einstein relativity.
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.
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...
Luminosity Density Evolution in the Universe and Cosmological Parameters
Tomonori Totani
1997-10-28T23:59:59.000Z
Star formation history in galaxies is strongly correlated to their present-day colors and the Hubble sequence can be considered as a sequence of different star formation history. Therefore we can model the cosmic star formation history based on the colors of local galaxies, and comparison to direct observations of luminosity density evolution at high redshift gives a new test for the cosmological parameters which is insensitive to merger history of galaxies. The luminosity density evolution in $0$ 0.53 at 95%CL) is strongly favored. The cosmic star formation rate (SFR) at $z>2$ is also compared to the latest data of the Hubble Deep Field including new data which were not incorporated in the previous work of Totani, Yoshii, & Sato (1997), and our model of the luminosity density of spiral galaxies taking account of gas infall is consistent with the observations. Starbursts in elliptical galaxies, which are expected from the galactic wind model, however overproduce SFRs and hence they should be formed at $z \\gtilde 5$ or their UV emission has to be hidden by dust extinction. The amound of metals in galactic winds and escaping ionizing photons are enough to contaminate the Ly$\\alpha$ forests or to reionize the universe.
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.
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.
Experimental critical parameters of plutonium metal cylinders flooded with water
NONE
1996-07-01T23:59:59.000Z
Forty-nine critical configurations are reported for experiments involving arrays of 3 kg plutonium metal cylinders moderated and reflected by water. Thirty-four of these describe systems assembled in the laboratory, while 15 others are derived critical parameters inferred from 46 subcritical cases. The arrays included 2x2xN, N = 2, 3, 4, and 5, in one program and 3x3x3 configurations in a later study. All were three-dimensional, nearly square arrays with equal horizontal lattice spacings but a different vertical lattice spacing. Horizontal spacings ranged from units in contact to 180 mm center-to-center; and vertical spacings ranged from about 80 mm to almost 400 mm center-to-center. Several nearly-equilateral 3x3x3 arrays exhibit an extremely sensitive dependence upon horizontal separation for identical vertical spacings. A line array of unreflected and essentially unmoderated canned plutonium metal units appeared to be well subcritical based on measurements made to assure safety during the manual assembly operations. All experiments were performed at two widely separated times in the mid-1970s and early 1980s under two programs at the Rocky Flats Plant`s Critical Mass Laboratory.
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.
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.
Constraining slope parameter of symmetry energy from nuclear structure
Inakura, T
2015-01-01T23:59:59.000Z
Four quantities deducible from nuclear structure experiments have been claimed to correlate to the slope parameter $L$ of the symmetry energy; the neutron skin thickness, the cross section of low-energy dipole (LED) mode, dipole polarizability $\\alpha_D$, and $\\alpha_D S_0$ (i.e. product of $\\alpha_D$ and the symmetry energy $S_0$). By the calculations in the Hartree-Fock plus random-phase approximation with various effective interactions, we compare the correlations between $L$ and these four quantities. The correlation derived from different interactions and the correlation from a class of interactions that are identical in the symmetric matter as well as in $S_0$ are simultaneously examined. These two types of correlations may behave differently, as exemplified in the correlation of $\\alpha_D$ to $L$. It is found that the neutron skin thickness and $\\alpha_DS_0$ correlate well to $L$, and therefore are suitable for narrowing down the value of $L$ via experiments. The LED emergence and upgrowth makes the $\\...
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.
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...
Controlled nanoporous Pt morphologies by varying deposition parameters
Misra, Amit [Los Alamos National Laboratory; Nastasi, Michael A [Los Alamos National Laboratory; Baldwin, J Kevin [Los Alamos National Laboratory; Goodwin, Peter M [Los Alamos National Laboratory; Bhattacharyya, Dhriti [Los Alamos National Laboratory; Antoniou, Antonia [GEROGIA INSTITUTE OF TECH
2009-01-01T23:59:59.000Z
Typically, dealloying of an alloy can result in an open cell nanoporous structure of the least electrochemically active element. Here, we show that a wider range of nanoporous structures is possible by controlling the composition and deposition parameters of the as-synthesized alloy as a way to provide sites for preferential etching. We demonstrate this by synthesizing nanoporous platinum (np-Pt) through electrochemical dealloying in aqueous HF from co-sputtered Pt{sub x}Si{sub 1-x} amorphous films. For increased Pt fraction of the amorphous alloy, silicon dissolution is favored along pre-existing features of the amorphous film (e.g. column boundaries or surface asperities). The resulting np-Pt depends on the manner in which silicon is preferentially removed. In addition to the expected isotropic open cell structure, columnar and Voronoi (radial) np-Pt are observed. A processing-structure map is developed to correlate np-Pt morphology to the initial composition and thickness of the amorphous Pt{sub x}Si{sub 1-x} film and the negative substrate bias used in magnetron sputtering.
Cosmological Constraints from Hubble Parameter on f(R) Cosmologies
F. C. Carvalho; E. M. Santos; J. S. Alcaniz; J. Santos
2008-11-10T23:59:59.000Z
Modified $f(R)$ gravity in the Palatini approach has been presently applied to Cosmology as a realistic alternative to dark energy. In this concern, a number of authors have searched for observational constraints on several $f(R)$ gravity functional forms using mainly data of type Ia supenovae (SNe Ia), Cosmic Microwave Background ({\\rm CMB}) radiation and Large Scale Structure ({\\rm LSS}). In this paper, by considering a homogeneous and isotropic flat universe, we use determinations of the Hubble function $H(z)$, which are based on differential age method, to place bounds on the free parameters of the $f(R) = R - \\beta/R^{n}$ functional form. We also combine the $H(z)$ data with constraints from Baryon Acoustic Oscillations ({\\rm BAO}) and {\\rm CMB} measurements, obtaining ranges of values for $n$ and $\\beta$ in agreement with other independent analyses. We find that, for some intervals of $n$ and $\\beta$, models based on $f(R) = R - \\beta/R^{n}$ gravity in the Palatini approach, unlike the metric formalism, can produce the sequence of radiation-dominated, matter-dominated, and accelerating periods without need of dark energy.
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.
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.
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 ...
Sun, Jian
[1] We use a conditional averaging approach to estimate the parameters of a land surface water and energy balance model and then use the estimated parameters to partition net radiation into latent, sensible, and ground ...
Parameter Estimation of Dynamic Air-conditioning Component Models Using Limited Sensor Data
Hariharan, Natarajkumar
2011-08-08T23:59:59.000Z
This thesis presents an approach for identifying critical model parameters in dynamic air-conditioning systems using limited sensor information. The expansion valve model and the compressor model parameters play a crucial role in the system 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
Parameter Estimation of Dynamic Air-conditioning Component Models Using Limited Sensor Data
Hariharan, Natarajkumar
2011-08-08T23:59:59.000Z
This thesis presents an approach for identifying critical model parameters in dynamic air-conditioning systems using limited sensor information. The expansion valve model and the compressor model parameters play a crucial ...
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
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 ...
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 ...
Okeke, Amarachukwu Ngozi
2006-10-30T23:59:59.000Z
Coalbed methane reservoir (CBM) performance is controlled by a complex set of reservoir, geologic, completion and operational parameters and the inter-relationships between those parameters. Therefore in order to understand and analyze CBM prospects...
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.
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.
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
A. B. Orue; G. Alvarez; M. Romera; G. Pastor; F. Montoya; Shujun Li
2007-08-05T23:59:59.000Z
This paper describes how to determine the parameter values of the chaotic Lorenz system used in a two-channel cryptosystem. The geometrical properties of the Lorenz system are used firstly to reduce the parameter search space, then the parameters are exactly determined, directly from the ciphertext, through the minimization of the average jamming noise power created by the encryption process.
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
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
An Extensible Framework for Annotation-based Parameter Passing in Distributed Object Systems
Ryder, Barbara G.
An Extensible Framework for Annotation-based Parameter Passing in Distributed Object Systems Sriram Programming Copyright 2008, Sriram Gopal #12;An Extensible Framework for Annotation-based Parameter Passing in Distributed Object Systems Sriram Gopal (ABSTRACT) Modern distributed object systems pass remote parameters
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.
Online determination of biophysical parameters of mucous membranes of a human body
Lisenko, S A; Kugeiko, M M [Belarusian State University, Minsk (Belarus)] [Belarusian State University, Minsk (Belarus)
2013-07-31T23:59:59.000Z
We have developed a method for online determination of biophysical parameters of mucous membranes (MMs) of a human body (transport scattering coefficient, scattering anisotropy factor, haemoglobin concentration, degrees of blood oxygenation, average diameter of capillaries with blood) from measurements of spectral and spatial characteristics of diffuse reflection. The method is based on regression relationships between linearly independent components of the measured light signals and the unknown parameters of MMs, obtained by simulation of the radiation transfer in the MM under conditions of its general variability. We have proposed and justified the calibration-free fibre-optic method for determining the concentration of haemoglobin in MMs by measuring the light signals diffusely reflected by the tissue in four spectral regions at two different distances from the illumination spot. We have selected the optimal wavelengths of optical probing for the implementation of the method. (laser applications in biology and medicine)
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Maurer, K. D.; Bohrer, G.; Kenny, W. T.; Ivanov, V. Y.
2015-01-01T23:59:59.000Z
Surface roughness parameters, namely the roughness length and displacement height, are an integral input used to model surface fluxes. However, most models assume these parameters to be a fixed property of plant functional type and disregard the governing structural heterogeneity and dynamics. In this study, we use large-eddy simulations to explore, in silico, the effects of canopy-structure characteristics on surface roughness parameters. We performed a virtual experiment to test the sensitivity of resolved surface roughness to four axes of canopy structure: (1) leaf area index, (2) the vertical profile of leaf density, (3) canopy height, and (4) canopy gap fraction.more »We found roughness parameters to be highly variable, but uncovered positive relationships between displacement height and maximum canopy height, aerodynamic canopy height and maximum canopy height and leaf area index, and eddy-penetration depth and gap fraction. We also found negative relationships between aerodynamic canopy height and gap fraction, as well as between eddy-penetration depth and maximum canopy height and leaf area index. We generalized our model results into a virtual "biometric" parameterization that relates roughness length and displacement height to canopy height, leaf area index, and gap fraction. Using a decade of wind and canopy-structure observations in a site in Michigan, we tested the effectiveness of our model-driven biometric parameterization approach in predicting the friction velocity over heterogeneous and disturbed canopies. We compared the accuracy of these predictions with the friction-velocity predictions obtained from the common simple approximation related to canopy height, the values calculated with large-eddy simulations of the explicit canopy structure as measured by airborne and ground-based lidar, two other parameterization approaches that utilize varying canopy-structure inputs, and the annual and decadal means of the surface roughness parameters at the site from meteorological observations. We found that the classical representation of constant roughness parameters (in space and time) as a fraction of canopy height performed relatively well. Nonetheless, of the approaches we tested, most of the empirical approaches that incorporate seasonal and interannual variation of roughness length and displacement height as a function of the dynamics of canopy structure produced more precise and less biased estimates for friction velocity than models with temporally invariable parameters.« less
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.
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...
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.
Assessment of operating parameter variation on electrostatic precipitator performance
Gunn, Roam Anthony
1974-01-01T23:59:59.000Z
, and the treatment and disposal of collected materials such as flyash from coal-fired power generating plants. ~Ca ital ~Char es. Capital charges general'ly include the costs incurred from property taxes, insurance premiums on plant facilities and other.... Summary of field results of SO flyash conditioning. 5. Sulfur conditioning of flyash 6. Sodium conditioning of flyash 7. Gallatin steam plant economic data 8. Precipitator related costs, 1960 to 1969 26 27 29 35 36 9. Overall costs...
ORNL/TM-2008/123 Neutron Resonance Parameters and
Pennycook, Steve
contractors, Energy Technology Data Exchange (ETDE) representatives, and International Nuclear Information ................................................................................................................................19 #12;#12;v LIST OF FIGURES Figure Page 1 239 Pu capture cross section in the energy, 1996, are generally available free via the U.S. Department of Energy (DOE) Information Bridge. Web site
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.
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...
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.
Complete Michel Parameter Analysis of inclusive semileptonic b \\to c transition
Benjamin Dassinger; Robert Feger; Thomas Mannel
2009-01-27T23:59:59.000Z
We perform a complete "Michel parameter" analysis of all possible helicity structures which can appear in the process $B \\to X_c \\ell \\bar{\
Holmes, C. D; Prather, M. J; Sovde, O. A; Myhre, G.
2013-01-01T23:59:59.000Z
of present-day and future OH and methane lifetime, Atmos.Chemistry and Physics Future methane, hydroxyl, and theirand emission parameters for future predictions C. D. Holmes
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.
Compressive parameter estimation in AWGN Dinesh Ramasamy, Sriram Venkateswaran and Upamanyu Madhow
Madhow, Upamanyu
1 Compressive parameter estimation in AWGN Dinesh Ramasamy, Sriram Venkateswaran and Upamanyu. Venkateswaran is with Broadcom Corporation. Email: {dineshr, sriram, madhow}@ece.ucsb.edu. This work
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.
Scharnagl, B.; Vrugt, J. A; Vereecken, H.; Herbst, M.
2011-01-01T23:59:59.000Z
data for identifying soil hydraulic parameters from outflowdistributions of the soil hydraulic parameters Carrera, J.method to determine soil hydraulic functions from multistep
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
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.
Ensslin, Torsten A.; Frommert, Mona [Max-Planck-Institut fuer Astrophysik, Karl-Schwarzschild-Str. 1, 85741 Garching (Germany)
2011-05-15T23:59:59.000Z
The optimal reconstruction of cosmic metric perturbations and other signals requires knowledge of their power spectra and other parameters. If these are not known a priori, they have to be measured simultaneously from the same data used for the signal reconstruction. We formulate the general problem of signal inference in the presence of unknown parameters within the framework of information field theory. To solve this, we develop a generic parameter-uncertainty renormalized estimation (PURE) technique. As a concrete application, we address the problem of reconstructing Gaussian signals with unknown power-spectrum with five different approaches: (i) separate maximum-a-posteriori power-spectrum measurement and subsequent reconstruction, (ii) maximum-a-posteriori reconstruction with marginalized power-spectrum, (iii) maximizing the joint posterior of signal and spectrum, (iv) guessing the spectrum from the variance in the Wiener-filter map, and (v) renormalization flow analysis of the field-theoretical problem providing the PURE filter. In all cases, the reconstruction can be described or approximated as Wiener-filter operations with assumed signal spectra derived from the data according to the same recipe, but with differing coefficients. All of these filters, except the renormalized one, exhibit a perception threshold in case of a Jeffreys prior for the unknown spectrum. Data modes with variance below this threshold do not affect the signal reconstruction at all. Filter (iv) seems to be similar to the so-called Karhune-Loeve and Feldman-Kaiser-Peacock estimators for galaxy power spectra used in cosmology, which therefore should also exhibit a marginal perception threshold if correctly implemented. We present statistical performance tests and show that the PURE filter is superior to the others, especially if the post-Wiener-filter corrections are included or in case an additional scale-independent spectral smoothness prior can be adopted.
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).
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.
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
Set-Membership Identification Based Adaptive Robust Control of Systems With Unknown Parameter Bounds
Yao, Bin
. The estimated parameter variation bounds are subsequently used to construct a continuous-time domain projection Bounds Lu Lu and Bin Yao Abstract-- In this paper, a hybrid control architecture is proposed to obtain non-conservative real-time estimation of the regions where model parameters could actually be
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
A discrete fourth-order Lidstone problem with parameters Douglas R. Anderson a,*, Feliz Minhs b
Anderson, Douglas R.
A discrete fourth-order Lidstone problem with parameters Douglas R. Anderson a,*, Feliz Minhós b Symmetric Green's function Fixed points Fourth-order Discrete Beam Lidstone Semipositone a b s t r a c discrete fourth-order Lidstone boundary value problem with dependence on two parameters are given, using
An Assessment of Areal Coverage of Severe Weather Parameters for Severe Weather Outbreak Diagnosis
Doswell III, Charles A.
An Assessment of Areal Coverage of Severe Weather Parameters for Severe Weather Outbreak Diagnosis 2011, in final form 9 March 2012) ABSTRACT The areal extent of severe weather parameters favorable for significant severe weather is evaluated as a means of identifying major severe weather outbreaks. The first
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
Vrugt, Jasper A.
hydraulic properties (Hopmans et al., 1992; van Dam useful description of parameter uncertainty and itsToward Improved Identifiability of Soil Hydraulic Parameters: On the Selection of a Suitable identifiability analysis of the soil hydraulic During the last two decades, a great deal of researchparameters
Information Content of Data for Identifying Soil Hydraulic Parameters from Outflow Experiments
Vrugt, Jasper A.
Information Content of Data for Identifying Soil Hydraulic Parameters from Outflow Experiments J. A sensitive to changes in the unknown parameters. Therefore we (Eching and Hopmans, 1993; Van Dam et al., 1994 with the uniqueness of the identified soil hydraulic properties. Identification Method based on the Localization of In
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
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
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_{\
Deshmukh, Venkatesh
Dynamical Systems Venkatesh Deshmukh Center for Nonlinear Dynamics and Control Department of Mechanical dynamic system models to be constructed from available data. The parameters to be estimated are assumed in the dynamic system models are assumed to have a known form, and the models are assumed to be parameter affine
Identification of the Catalytic Mechanism and Estimation of Kinetic Parameters for Fumarase*S
Identification of the Catalytic Mechanism and Estimation of Kinetic Parameters for Fumarase mechanism for the fumarase reaction that can account for the kinetic behavior of the enzyme observed in both mechanism and design a series of experiments to estimate the model parameters and identify the major flux
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
Yaron, David
Embedding parameters in ab initio theory to develop well- controlled approximations based Journal of Chemical Theory and Computation #12;1 Embedding parameters in ab initio theory to develop well-controlled on molecular similarity Journal: Journal of Chemical Theory and Computation Manuscript ID: Draft Manuscript
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...
MATERIAL POINT METHOD CALCULATIONS WITH EXPLICIT CRACKS, FRACTURE PARAMETERS, AND CRACK
Nairn, John A.
MATERIAL POINT METHOD CALCULATIONS WITH EXPLICIT CRACKS, FRACTURE PARAMETERS, AND CRACK PROPAGATION." This new method has several advantages for numerical work on fracture. Compared to finite element analysis works well for calculating key fracture parameters such as J integral, stress intensity factors
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
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
E#cient Construction of Local Parameters of Irreducible Components of an Algebraic Variety
Institute for Informatics and Automation of the Academy of Sciences of Russia 14th line 39, St. Petersburg has a sequence of local parameters represented by s non--homogeneous polynomials with the product parameters) represented by s non--homogeneous polynomials with the product of degrees bounded from above by D
Comparison of two optimization methods to derive energy parameters for protein folding
Domany, Eytan
Comparison of two optimization methods to derive energy parameters for protein folding: perceptron potential, perceptron, Zscore 1 #12; Abstract Two methods were proposed recently to derive energy, by means of a perceptron learning scheme, energy parameters such that the native conformations have lower
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
Luhua, Lai
Estimating ProteinLigand Binding Free Energy: Atomic Solvation Parameters for Partition estimation method for proteinligand binding based on atomic solvation parameter (ASP), which has been shown to improve the power of protein ligand binding free energy predictions. The ASP set, designed to handle both
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
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
Single scattering parameters of randomly oriented snow particles at microwave frequencies
Houze Jr., Robert A.
Single scattering parameters of randomly oriented snow particles at microwave frequencies Min for computations of single scattering parameters at microwave frequencies requires a thorough knowledge of how of randomly oriented snow particles at microwave frequencies, J. Geophys. Res., 111, D14201, doi:10
Accounting for Parameter Uncertainty in Reduced-Order Static and Dynamic Systems
Woodbury, Drew Patton
2012-02-14T23:59:59.000Z
and Parameter Estimates : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 34 8 Example II.2 Monte Carlo Results: Position Estimates - Scenario 1 : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 37 9 Example II.2 Monte Carlo... : : : : : : : : 52 8 Continuous-discrete Minimum Variance Consider Kalman Filter : : : 58 9 Discrete Traditional Kalman Filter : : : : : : : : : : : : : : : : : : : 63 10 Physical Parameters of the Dwarf Planet Ceres : : : : : : : : : : : : 63 11 State...
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
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
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
Practical Selection of SVM Parameters and Noise Estimation for SVM Regression
Cherkassky, Vladimir
1 Practical Selection of SVM Parameters and Noise Estimation for SVM Regression Vladimir Cherkassky 55455, USA Abstract We investigate practical selection of meta-parameters for SVM regression (that is using several low-dimensional and high-dimensional regression problems. Further, we point out
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
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...
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.
Transverse distortion of a relativistic composite system in impact parameter space
Narinder Kumar; Harleen Dahiya
2015-02-04T23:59:59.000Z
We investigate the Generalized Parton Distributions (GPDs) in impact parameter space using the explicit light front wave functions (LFWFs) for the two-particle Fock state of the electron in QED. The Fourier transform (FT) of the GPDs gives the distribution of quarks in the transverse plane for zero longitudinal momentum transfer ($\\xi=0$). We study the relationship of the spin flip GPD $E(x,0,-\\vec{\\Delta}_\\perp^2)$ with the distortion of unpolarized quark distribution in the transverse plane when the target nucleon is transversely polarized and also determine the sign of distortion from the sign of anomalous magnetic moment. To verify the sign of distortion, we also compute it directly from the LFWFs by performing a FT in position space coordinate $\\vec{f}_\\perp$. The explicit relation between the deformation in the two spaces can also be obtained using the convolution integrals. To show the relation of the model LFWFs to a realistic model of nucleon physics, we have designed a specific weight function of our model LFWFs and integrated it over the mass parameter. Also we have simulated the form factor of the nucleon in the AdS/QCD holographic LFWFs model and studied the power-law behaviour at short distances.
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...
Calculation of Design Parameters for an Equilibrium LEU Core in the NBSR
Hanson, A.L.; Diamond, D.
2011-09-30T23:59:59.000Z
A plan is being developed for the conversion of the NIST research reactor (NBSR) from high-enriched uranium (HEU) fuel to low-enriched uranium (LEU) fuel. Previously, the design of the LEU fuel had been determined in order to provide the users of the NBSR with the same cycle length as exists for the current HEU fueled reactor. The fuel composition at different points within an equilibrium fuel cycle had also been determined. In the present study, neutronics parameters have been calculated for these times in the fuel cycle for both the existing HEU and the proposed LEU equilibrium cores. The results showed differences between the HEU and LEU cores that would not lead to any significant changes in the safety analysis for the converted core. In general the changes were reasonable except that the figure-of-merit for neutrons that can be used by experimentalists shows there will be a 10% reduction in performance. The calculations included kinetics parameters, reactivity coefficients, reactivity worths of control elements and abnormal configurations, and power distributions.
Smit, Larissa Christine
2001-01-01T23:59:59.000Z
An optimization procedure to be used concurrently with a top-down general design process was developed. The optimization procedure consists of identifying the critical design parameters and analyzing their effect on a performance measure...
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.
California at Santa Barbara, University of
Evaluation of SeaSonde Hardware Diagnostic Parameters as Performance Metrics Brian M. EmerySonde software reports hardware diagnostic statistics, including a number of parameters associated the suitability of the parameters as operational metrics. The hardware parameters considered in this analysis
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
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.
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...
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.
Bangerth, Wolfgang
INVERSE BIOMEDICAL IMAGING USING SEPARATELY ADAPTED MESHES FOR PARAMETERS AND FORWARD MODEL Many important existing and upcoming biomedical imaging modalities lead to nonlinear relationships experiment. 1. INTRODUCTION In a number of current and upcoming biomedical imaging methods, the relationship
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.
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...
Variability of aerosol parameters over Kanpur, northern India R. P. Singh,1
Singh, Ramesh P.
Variability of aerosol parameters over Kanpur, northern India R. P. Singh,1 Sagnik Dey, S. N Dynamics: Remote sensing; KEYWORDS: aerosol, remote sensing, Ganga basin Citation: Singh, R. P., S. Dey, S
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.
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.
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...
Pion cloud and sea quark flavor asymmetry in the impact parameter...
Office of Scientific and Technical Information (OSTI)
Pion cloud and sea quark flavor asymmetry in the impact parameter representation Citation Details In-Document Search Title: Pion cloud and sea quark flavor asymmetry in the impact...
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.
Word, Daniel Paul
2013-07-09T23:59:59.000Z
- cient estimation of parameters in infectious disease models from long-term case data. Modern mathematical programming languages (e.g., AMPL (Fourer et al., 1993), GAMS (Rosenthal, 2012), Pyomo (Hart et al., 2012), Modelica (Association et al., 2007...
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
McCrickard, Scott
Unpacking Critical Parameters for Interface Design: Evaluating Notification Systems with the IRC, reaction, and comprehension (or IRC) as a potential solution [15][16][17] (revisited later). This paper
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 important...
Estimating Canopy Fuel Parameters with In-Situ and Remote Sensing Data
Mutlu, Muge
2012-02-14T23:59:59.000Z
, Sorin C. Popescu Committee Members, Ross F. Nelson X. Ben Wu Anthony M. Filippi Marian Eriksson Head of Department, Steven G. Whisenant December 2010 Major Subject: Forestry iii ABSTRACT Estimating Canopy Fuel Parameters with In...
Zhang, Xuesong
2009-05-15T23:59:59.000Z
This study focuses on developing and evaluating efficient and effective parameter calibration and uncertainty methods for hydrologic modeling. Five single objective optimization algorithms and six multi-objective optimization ...
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
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...
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.
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...
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...
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.
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...
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...
The Dependence of the Age Parameter from EAS Size and Zenith Angle of Incidence
A. A. Chilingarian; G. V. Gharagyozyan; S. S. Ghazaryan; G. G. Hovsepyan; E. A. Mamidjanyan; L. G. Melkumyan; S. H. Sokhoyan
2000-02-03T23:59:59.000Z
The quality of the MAKET-ANI detector installation in view of the uniformity of the registration efficiency is demonstrated. Based on a data sample collected by the MAKET-ANI array in the period of June 1997 - March 1999, the dependencies of the age parameter on the zenith angle and the EAS size (10^5-10^7) are studied. The variation of the age parameter with the shower size can be approximately related to the elongation rate.
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...
Orozco-Monteagudo, Maykel; Taboada-Crispi, Alberto; Gutierrez-Hernandez, Liliana
2008-11-06T23:59:59.000Z
This paper deals with the controversial topic of the selection of the parameters of a genetic algorithm, in this case hierarchical, used for training of multilayer perceptron neural networks for the binary classification. The parameters to select are the crossover and mutation probabilities of the control and parametric genes and the permanency percent. The results can be considered as a guide for using this kind of algorithm.
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...
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.
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.
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.
How serious can the stealth bias be in gravitational wave parameter estimation?
Salvatore Vitale; Walter Del Pozzo
2013-11-08T23:59:59.000Z
The upcoming direct detection of gravitational waves will open a window to probing the strong-field regime of general relativity (GR). As a consequence, waveforms that include the presence of deviations from GR have been developed (e.g. in the parametrized post-Einsteinian approach). TIGER, a data analysis pipeline which builds Bayesian evidence to support or question the validity of GR, has been written and tested. In particular, it was shown recently that data from the LIGO and Virgo detectors will allow to detect deviations from GR smaller than can be probed with Solar System tests and pulsar timing measurements or not accessible with conventional tests of GR. However, evidence from several detections is required before a deviation from GR can be confidently claimed. An interesting consequence is that, should GR not be the correct theory of gravity in its strong field regime, using standard GR templates for the matched filter analysis of interferometer data will introduce biases in the gravitational wave measured parameters with potentially disastrous consequences on the astrophysical inferences, such as the coalescence rate or the mass distribution. We consider three heuristic possible deviations from GR and show that the biases introduced by assuming GR's validity manifest in various ways. The mass parameters are usually the most affected, with biases that can be as large as $30$ standard deviations for the symmetric mass ratio, and nearly one percent for the chirp mass, which is usually estimated with sub-percent accuracy. We conclude that statements about the nature of the observed sources, e.g. if both objects are neutron stars, depend critically on the explicit assumption that GR it the right theory of gravity in the strong field regime.
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.
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.
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Maurer, K. D.; Bohrer, G.; Ivanov, V. Y.
2014-11-27T23:59:59.000Z
Surface roughness parameters are at the core of every model representation of the coupling and interactions between land-surface and atmosphere, and are used in every model of surface fluxes. However, most models assume these parameters to be a fixed property of plant functional type and do not vary them in response to spatial or temporal changes to canopy structure. In part, this is due to the difficulty of reducing the complexity of canopy structure and its spatiotemporal dynamic and heterogeneity to less than a handful of parameters describing its effects of atmosphere–surface interactions. In this study we use large-eddy simulationsmore »to explore, in silico, the effects of canopy structure characteristics on surface roughness parameters. We performed a virtual experiment to test the sensitivity of resolved surface roughness to four axes of canopy structure: (1) leaf area index, (2) the vertical profile of leaf density, (3) canopy height, and (4) canopy gap fraction. We found roughness parameters to be highly variable, but were able to find positive relationships between displacement height and maximum canopy height, aerodynamic canopy height and maximum canopy height and leaf area index, and eddy-penetration depth and gap fraction. We also found negative relationships between aerodynamic canopy height and gap fraction, and between eddy-penetration depth and maximum canopy height and leaf area index. Using a decade of wind and canopy structure observations in a site in Michigan, we tested the effectiveness of our model-resolved parameters in predicting the frictional velocity over heterogeneous and disturbed canopies. We compared it with three other semi-empirical models and with a decade of meteorological observations. We found that parameterizations with fixed representations of roughness performed relatively well. Nonetheless, some empirical approaches that incorporate seasonal and inter-annual changes to the canopy structure performed even better than models with temporally fixed parameters.« less
D. Mitrani; J. Salazar; A. Turo; M. J. García; J. A. Chávez
2008-01-07T23:59:59.000Z
Based on simplified one-dimensional steady-state analysis of thermoelectric phenomena and on analogies between thermal and electrical domains, we propose both lumped and distributed parameter electrical models for thermoelectric devices. For lumped parameter models, constant values for material properties are extracted from polynomial fit curves evaluated at different module temperatures (hot side, cold side, average, and mean module temperature). For the case of distributed parameter models, material properties are calculated according to the mean temperature at each segment of a sectioned device. A couple of important advantages of the presented models are that temperature dependence of material properties is considered and that they can be easily simulated using an electronic simulation tool such as SPICE. Comparisons are made between SPICE simulations for a single-pellet module using the proposed models and with numerical simulations carried out with Mathematica software. Results illustrate accuracy of the distributed parameter models and show how inappropriate is to assume, in some cases, constant material parameters for an entire thermoelectric element.
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)
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.
Kamyabpour, Najmeh
2011-01-01T23:59:59.000Z
In this paper, we study a new approach to model the overall Energy Consumption (EC) in Wireless Sensor Networks (WSN). First, we extract parameters involving in the EC of WSNs. The dependency between configuration parameters and the average residual energy of a specific application is then investigated. Our approach has three key steps: profiling, parameter reduction, and modeling. In profiling, a sensor network simulator is re-run 800 times with different values of the configuration parameters in order to profile the average residual energy in nodes. In the parameter reduction, three statistical analyses (p-value, linear and non-linear correlation) are applied to the outcome of profiled experiments in order to separate the effective parameters on WSN residual energy. Finally, linear regression is used to model the relation between the chosen effective parameters and the residual energy. The evaluation based on running the simulator for another 200 times with different values of the effective parameters shows...
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
Ranjit, Chayan
2015-01-01T23:59:59.000Z
The present work is based on the idea of an interacting framework of new holographic dark energy with cold dark matter in the background of $f(T)$ gravity. Here, we have considered the flat modified Friedmann universe for $f(T)$ gravity which is filled with new Holographic dark energy and dark matter. We have derived some cosmological parameters like Deceleration parameter, EoS parameter, State-finder parameters, Cosmographic parameters, {\\it Om} parameter and graphically investigated the nature of these parameters for the above mentioned interacting scenario. The results are found to be consistent with the accelerating universe. Also we have graphically investigated the trajectories in $\\omega $--$ \\omega'$ plane for different values of the interacting parameter and explored the freezing region and thawing region in $\\omega $--$ \\omega'$ plane. Finally, we have analyzed the stability of this model.
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...
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...
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
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.
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.
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.
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.
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
Evolution of Plasma Parameters in the Termination Phase of High Confinement H-modes at JET and Implications for ITER
The Kozai-Lidov mechanism in hydrodynamical disks. II. Effects of binary and disk parameters
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Fu, Wen; Lubow, Stephen H.; Martin, Rebecca G.
2015-07-01T23:59:59.000Z
Martin et al. (2014b) showed that a substantially misaligned accretion disk around one component of a binary system can undergo global damped Kozai–Lidov (KL) oscillations. During these oscillations, the inclination and eccentricity of the disk are periodically exchanged. However, the robustness of this mechanism and its dependence on the system parameters were unexplored. In this paper, we use three-dimensional hydrodynamical simulations to analyze how various binary and disk parameters affect the KL mechanism in hydrodynamical disks. The simulations include the effect of gas pressure and viscosity, but ignore the effects of disk self-gravity. We describe results for different numerical resolutions,more »binary mass ratios and orbital eccentricities, initial disk sizes, initial disk surface density profiles, disk sound speeds, and disk viscosities. We show that the KL mechanism can operate for a wide range of binary-disk parameters. We discuss the applications of our results to astrophysical disks in various accreting systems.« less
Quantum-classical transition and quantum activation of ratchet currents in the parameter space
M. W. Beims; M. Schlesinger; C. Manchein; A. Celestino; A. Pernice; W. T. Strunz
2015-05-14T23:59:59.000Z
The quantum ratchet current is studied in the parameter space of the dissipative kicked rotor model coupled to a zero temperature quantum environment. We show that vacuum fluctuations blur the generic isoperiodic stable structures found in the classical case. Such structures tend to survive when a measure of statistical dependence between the quantum and classical currents are displayed in the parameter space. In addition, we show that quantum fluctuations can be used to overcome transport barriers in the phase space. Related quantum ratchet current activation regions are spotted in the parameter space. Results are discussed {based on quantum, semiclassical and classical calculations. While the semiclassical dynamics involves vacuum fluctuations, the classical map is driven by thermal noise.
Precision Measurements of Little Higgs Parameters at the International Linear Collider
Eri Asakawa; Masaki Asano; Keisuke Fujii; Tomonori Kusano; Shigeki Matsumoto; Rei Sasaki; Yosuke Takubo; Hitoshi Yamamoto
2009-03-25T23:59:59.000Z
We investigate a possibility of precision measurements for parameters of the Littlest Higgs model with T-parity at the International Linear Collider (ILC). The model predicts new gauge bosons (AH, ZH, and WH), among which the heavy photon (AH) is a candidate for dark matter. The masses of these new gauge bosons strongly depend on the vacuum expectation value that breaks a global symmetry of the model. Through Monte Carlo simulations of the processes: e+ e- ->AH ZH and e+ e- -> WH+ WH-, we show how precisely the masses can be determined at the ILC for a representative parameter point of the model. We also discuss the determination of the Little Higgs parameters and its impact on the future measurement of the thermal abundance of the dark matter relics in our universe.
Four free parameter empirical parametrization of glow discharge Langmuir probe data
Azooz, A. A. [Department of Physics, College of Science, Mosul University, Mosul-Iraq (Iraq)
2008-10-15T23:59:59.000Z
For the purpose of developing a simple empirical model capable of producing the electron energy distribution function (EEDF) from Langmuir probe I-V characteristics, a four parameter empirical equation that fits most Langmuir probe experimental data is suggested. The four free fitting parameters are related to the main plasma properties. These properties include the ion and electron saturation currents and the plasma electron temperature. This equation can be readily differentiated twice to give the EEDF according to the Druyvesteyn formula. Furthermore, a MATLAB platform based computer code based on this model yielding results for the plasma potential and all plasma parameters mentioned above is presented. The information given below can be used to write other computer codes for the same purpose in any other programming language.
Effect of asymmetry parameter on the dynamical states of nonlocally coupled nonlinear oscillators
R. Gopal; V. K. Chandrasekar; D. V. Senthilkumar; A. Venkatesan; M. Lakshmanan
2015-06-17T23:59:59.000Z
We show that coexisting domains of coherent and incoherent oscillations can be induced in an ensemble of any identical nonlinear dynamical systems using the nonlocal rotational matrix coupling with an asymmetry parameter. Further, chimera is shown to emerge in a wide range of the asymmetry parameter in contrast to near $\\frac{\\pi}{2}$ values of it employed in the earlier works. We have also corroborated our results using the strength of incoherence in the frequency domain ($S_{\\omega}$) and in the amplitude domain ($S$) thereby distinguishing the frequency and amplitude chimeras. The robust nature of the asymmetry parameter in inducing chimeras in any generic dynamical system is established using ensembles of identical R\\"ossler oscillators, Lorenz systems, and Hindmarsh-Rose (HR) neurons in their chaotic regimes.
Aasi, J; Abbott, B P; Abbott, R; Abbott, T D; Abernathy, M; Accadia, T; Acernese, F; Adams, C; Adams, T; Addesso, P; Adhikari, R; Affeldt, C; Agathos, M; Agatsuma, K; Ajith, P; Allen, B; Allocca, A; Ceron, E Amador; Amariutei, D; Anderson, S B; Anderson, W G; Arai, K; Araya, M C; Ast, S; Aston, S M; Astone, P; Atkinson, D; Aufmuth, P; Aulbert, C; Aylott, B E; Babak, S; Baker, P; Ballardin, G; Ballmer, S; Bao, Y; Barayoga, J C B; Barker, D; Barone, F; Barr, B; Barsotti, L; Barsuglia, M; Barton, M A; Bartos, I; Bassiri, R; Bastarrika, M; Basti, A; Batch, J; Bauchrowitz, J; Bauer, Th S; Bebronne, M; Beck, D; Behnke, B; Bejger, M; Beker, M G; Bell, A S; Bell, C; Belopolski, I; Benacquista, M; Berliner, J M; Bertolini, A; Betzwieser, J; Beveridge, N; Beyersdorf, P T; Bhadbade, T; Bilenko, I A; Billingsley, G; Birch, J; Biswas, R; Bitossi, M; Bizouard, M A; Black, E; Blackburn, J K; Blackburn, L; Blair, D; Bland, B; Blom, M; Bock, O; Bodiya, T P; Bogan, C; Bond, C; Bondarescu, R; Bondu, F; Bonelli, L; Bonnand, R; Bork, R; Born, M; Boschi, V; Bose, S; Bosi, L; Bouhou, B; Braccini, S; Bradaschia, C; Brady, P R; Braginsky, V B; Branchesi, M; Brau, J E; Breyer, J; Briant, T; Bridges, D O; Brillet, A; Brinkmann, M; Brisson, V; Britzger, M; Brooks, A F; Brown, D A; Bulik, T; Bulten, H J; Buonanno, A; Burguet--Castell, J; Buskulic, D; Buy, C; Byer, R L; Cadonati, L; Cagnoli, G; Calloni, E; Camp, J B; Campsie, P; Cannon, K; Canuel, B; Cao, J; Capano, C D; Carbognani, F; Carbone, L; Caride, S; Caudill, S; Cavaglià, M; Cavalier, F; Cavalieri, R; Cella, G; Cepeda, C; Cesarini, E; Chalermsongsak, T; Charlton, P; Chassande-Mottin, E; Chen, W; Chen, X; Chen, Y; Chincarini, A; Chiummo, A; Cho, H S; Chow, J; Christensen, N; Chua, S S Y; Chung, C T Y; Chung, S; Ciani, G; Clara, F; Clark, D E; Clark, J A; Clayton, J H; Cleva, F; Coccia, E; Cohadon, P -F; Colacino, C N; Colla, A; Colombini, M; Conte, A; Conte, R; Cook, D; Corbitt, T R; Cordier, M; Cornish, N; Corsi, A; Costa, C A; Coughlin, M; Coulon, J -P; Couvares, P; Coward, D M; Cowart, M; Coyne, D C; Creighton, J D E; Creighton, T D; Cruise, A M; Cumming, A; Cunningham, L; Cuoco, E; Cutler, R M; Dahl, K; Damjanic, M; Danilishin, S L; D'Antonio, S; Danzmann, K; Dattilo, V; Daudert, B; Daveloza, H; Davier, M; Daw, E J; Dayanga, T; De Rosa, R; DeBra, D; Debreczeni, G; Degallaix, J; Del Pozzo, W; Dent, T; Dergachev, V; DeRosa, R; Dhurandhar, S; Di Fiore, L; Di Lieto, A; Di Palma, I; Emilio, M Di Paolo; Di Virgilio, A; Díaz, M; Dietz, A; Donovan, F; Dooley, K L; Doravari, S; Dorsher, S; Drago, M; Drever, R W P; Driggers, J C; Du, Z; Dumas, J -C; Dwyer, S; Eberle, T; Edgar, M; Edwards, M; Effler, A; Ehrens, P; Endröczi, G; Engel, R; Etzel, T; Evans, K; Evans, M; Evans, T; Factourovich, M; Fafone, V; Fairhurst, S; Farr, B F; Farr, W M; Favata, M; Fazi, D; Fehrmann, H; Feldbaum, D; Ferrante, I; Ferrini, F; Fidecaro, F; Finn, L S; Fiori, I; Fisher, R P; Flaminio, R; Foley, S; Forsi, E; Forte, L A; Fotopoulos, N; Fournier, J -D; Franc, J; Franco, S; Frasca, S; Frasconi, F; Frede, M; Frei, M A; Frei, Z; Freise, A; Frey, R; Fricke, T T; Friedrich, D; Fritschel, P; Frolov, V V; Fujimoto, M -K; Fulda, P J; Fyffe, M; Gair, J; Galimberti, M; Gammaitoni, L; Garcia, J; Garufi, F; Gáspár, M E; Gelencser, G; Gemme, G; Genin, E; Gennai, A; Gergely, L Á; Ghosh, S; Giaime, J A; Giampanis, S; Giardina, K D; Giazotto, A; Gil-Casanova, S; Gill, C; Gleason, J; Goetz, E; González, G; Gorodetsky, M L; Goßler, S; Gouaty, R; Graef, C; Graff, P B; Granata, M; Grant, A; Gray, C; Greenhalgh, R J S; Gretarsson, A M; Griffo, C; Grote, H; Grover, K; Grunewald, S; Guidi, G M; Guido, C; Gupta, R; Gustafson, E K; Gustafson, R; Hallam, J M; Hammer, D; Hammond, G; Hanks, J; Hanna, C; Hanson, J; Harms, J; Harry, G M; Harry, I W; Harstad, E D; Hartman, M T; Haster, C -J; Haughian, K; Hayama, K; Hayau, J -F; Heefner, J; Heidmann, A; Heintze, M C; Heitmann, H; Hello, P; Hemming, G; Hendry, M A; Heng, I S; Heptonstall, A W; Herrera, V; Heurs, M; Hewitson, M; Hild, S; Hoak, D; Hodge, K A; Holt, K; Holtrop, M; Hong, T; Hooper, S; Hough, J; Howell, E J; Hughey, B; Husa, S; Huttner, S H; Huynh-Dinh, T; Ingram, D R; Inta, R; Isogai, T; Ivanov, A; Izumi, K; Jacobson, M; James, E; Jang, Y J; Jaranowski, P; Jesse, E; Johnson, W W; Jones, D I; Jones, R; Jonker, R J G; Ju, L; Kalmus, P; Kalogera, V; Kandhasamy, S; Kang, G; Kanner, J B; Kasprzack, M; Kasturi, R; Katsavounidis, E; Katzman, W; Kaufer, H; Kaufman, K; Kawabe, K; Kawamura, S; Kawazoe, F; Keitel, D; Kelley, D; Kells, W; Keppel, D G; Keresztes, Z; Khalaidovski, A; Khalili, F Y; Khazanov, E A; Kim, B K; Kim, C; Kim, H; Kim, K; Kim, N; Kim, Y M; King, P J; Kinzel, D L; Kissel, J S; Klimenko, S; Kline, J; Kokeyama, K; Kondrashov, V; Koranda, S; Korth, W Z; Kowalska, I; Kozak, D; Kringel, V; Krishnan, B; Królak, A; Kuehn, G; Kumar, P; Kumar, R; Kurdyumov, R; Kwee, P
2013-01-01T23:59:59.000Z
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" wher...
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.
Jet pumps for thermoacoustic applications: design guidelines based on a numerical parameter study
Oosterhuis, Joris P; Wilcox, Douglas; van der Meer, Theo H
2015-01-01T23:59:59.000Z
The oscillatory flow through tapered cylindrical tube sections (jet pumps) is characterized by a numerical parameter study. The shape of a jet pump results in asymmetric hydrodynamic end effects which cause a time-averaged pressure drop to occur under oscillatory flow conditions. Hence, jet pumps are used as streaming suppressors in closed-loop thermoacoustic devices. A two-dimensional axisymmetric computational fluid dynamics model is used to calculate the performance of a large number of conical jet pump geometries in terms of time-averaged pressure drop and acoustic power dissipation. The investigated geometrical parameters include the jet pump length, taper angle, waist diameter and waist curvature. In correspondence with previous work, four flow regimes are observed which characterize the jet pump performance and dimensionless parameters are introduced to scale the performance of the various jet pump geometries. The simulation results are compared to an existing quasi-steady theory and it is shown that t...
Modified Brans-Dicke theory with space-time anisotropic parameters
Moon, Taeyoon [Center for Quantum Space-time, Sogang University, Seoul, 121-742 (Korea, Republic of); Oh, Phillial, E-mail: tymoon@inje.ac.kr, E-mail: ploh@skku.edu [Department of Physics and Institute of Basic Science, Sungkyunkwan University Suwon, 440-746 (Korea, Republic of)
2014-03-01T23:59:59.000Z
We consider the ADM formalism of the Brans-Dicke theory and propose a space-time anisotropic extension of the theory by introducing five free parameters. We find that the resulting theory reveals many interesting aspects which are not present in the original BD theory. We first discuss the ghost instability and strong coupling problems which are present in the gravity theory without the full diffeomorphism symmetry and show that they can be avoided in a region of the parameter space. We also perform the post-Newtonian approximation and show that the constraint of the Brans-Dicke parameter ?{sub BD} being large to be consistent with the solar system observations could be evaded in the extended theory. We also discuss that accelerating Universe can be achieved without the need of the potential for the Brans-Dicke scalar.
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.
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.
Stochastic optimization methods for extracting cosmological parameters from CMBR power spectra
Steen Hannestad
1999-11-17T23:59:59.000Z
The reconstruction of the CMBR power spectrum from a map represents a major computational challenge to which much effort has been applied. However, once the power spectrum has been recovered there still remains the problem of extracting cosmological parameters from it. Doing this involves optimizing a complicated function in a many dimensional parameter space. Therefore efficient algorithms are necessary in order to make this feasible. We have tested several different types of algorithms and found that the technique known as simulated annealing is very effective for this purpose. It is shown that simulated annealing is able to extract the correct cosmological parameters from a set of simulated power spectra, but even with such fast optimization algorithms, a substantial computational effort is needed.
The Kozai-Lidov Mechanism in Hydrodynamical Disks - II. Effects of binary and disk parameters
Fu, Wen; Martin, Rebecca G
2015-01-01T23:59:59.000Z
Martin et al. (2014b) showed that a substantially misaligned accretion disk around one component of a binary system can undergo global damped Kozai-Lidov oscillations. During these oscillations, the inclination and eccentricity of the disk are periodically exchanged. However, the robustness of this mechanism and its dependence on the system parameters were unexplored. In this paper, we use three-dimensional hydrodynamical simulations to analyze how various binary and disk parameters affect the Kozai-Lidov mechanism in hydrodynamical disks. The simulations include the effect of gas pressure and viscosity, but ignore the effects of disk self-gravity. We describe results for different numerical resolutions, binary mass ratios and orbital eccentricities, initial disk sizes, initial disk surface density profiles, disk sound speeds, and disk viscosities. We show that the Kozai-Lidov mechanism can operate for a wide range of binary-disk parameters. We discuss the applications of our results to astrophysical disks in...
Some practical limits on achievable precision of determination of nuclear-physics parameters
A. M. Sukhovoj; V. A. Khitrov
2011-05-24T23:59:59.000Z
The status of experiments on determination of level density and partial widths of the nuclear reaction products emission in diapason of nucleon binding energy is presented. There are analyzed the sources and magnitude of probable systematical uncertainties of their determination. The maximally achievable precision of these parameters is estimated, as well. There is considered ability of new method for determination of distribution parameters of neutron resonances reduced widths in order to distinguish their groups with the same structure of wave functions. It was obtained in both cases that the insufficient value of maximally achievable precision of the parameters of the experimental data analysis does not allow one to obtain reliable and detailed information on the studied nuclear properties -- its entropy, strength functions of nuclear products emission and dominant level structure above 0.5Bn.
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.
Tsai, Yue-Lin Sming [National Center for Nuclear Research, Hoza 69, 00-681 Warsaw (Poland); Yuan, Qiang [Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, P.R.China (China); Huang, Xiaoyuan, E-mail: Sming.Tsai@fuw.edu.pl, E-mail: yuanq@ihep.ac.cn, E-mail: x_huang@bao.ac.cn [National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, P.R.China (China)
2013-03-01T23:59:59.000Z
Observation of ?-rays from dwarf galaxies is an effective way to search for particle dark matter. Using 4-year data of Fermi-LAT observations on a series of Milky Way satellites, we develop a general way to search for the signals from dark matter annihilation in such objects. Instead of giving prior information about the energy spectrum of dark matter annihilation, we bin the Fermi-LAT data into several energy bins and build a likelihood map in the ''energy bin - flux'' plane. The final likelihood of any spectrum can be easily derived through combining the likelihood of all the energy bins. It gives consistent result with that directly calculated using the Fermi Scientific Tool. This method is very efficient for the study of any specific dark matter models with ?-rays. We use the new likelihood map with Fermi-LAT 4 year data to fit the parameter space in three representative dark matter models: i) toy dark matter model, ii) effective dark matter operators, and iii) supersymmetric neutralino dark matter.
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.
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.
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.
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.
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.
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.
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.
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.
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...
Federico Agustin Membiela; Mauricio Bellini
2007-12-18T23:59:59.000Z
Introducing a variable cosmological parameter $\\Lambda (t)$ in a geometrical manner from a 5D Riemann-flat metric, we investigate the origin and evolution of primordial magnetic fields in the early universe, when the expansion is governed by a cosmological parameter $\\Lambda (t)$ that decreases with time. Using the gravitoelectromagnetic inflationary formalism, but without the Feynman gauge, we obtain the power of spectrums for large-scale magnetic fields and the inflaton field fluctuations during inflation. A very important fact is that our formalism is {\\em naturally non-conformally invariant}.
Characterization in bi-parameter space of a non-ideal oscillator
S. L. T. de Souza; A. M. Batista; M. S. Baptista; I. L. Caldas; J. M. Balthazar
2015-07-24T23:59:59.000Z
We investigate the dynamical behavior of a non-ideal Duffing oscillator, a system composed of a mass-spring-pendulum driven by a DC motor with limited power supply. To identify new features on Duffing oscillator parameter space due to the limited power supply, we provide an extensive numerical characterization in the bi-parameter space by using Lyapunov exponents. Following this procedure, we identify remarkable new periodic windows, the ones known as Arnold tongues and also shrimp-shaped structures. Such windows appear in highly organized distribution with typical self-similar structures for the shrimps, and, surprisingly, codimension-2 bifurcation as a point of accumulations for the tongues.
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.
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.
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.
Entekhabi, Dara
Microfluidics Tanvir Ahmed and Roman Stocker Ralph M. Parsons Laboratory, Department of Civil and Environmental microfluidic experiments to quantify population-scale transport parameters (chemotactic sensitivity x0 of this upscaling process have not been verified experimentally. We designed a microfluidic capillary assay
Study on the effect of target on plasma parameters of magnetron sputtering discharge plasma
Saikia, P.; Kakati, B.; Saikia, B. K. [Centre of Plasma Physics, Institute for Plasma Research, Nazirakhat, Sonapur-782 402, Kamrup, Assam (India)] [Centre of Plasma Physics, Institute for Plasma Research, Nazirakhat, Sonapur-782 402, Kamrup, Assam (India)
2013-10-15T23:59:59.000Z
In this study, the effect of magnetron target on different plasma parameters of Argon/Hydrogen (Ar - H{sub 2}) direct current (DC) magnetron discharge is examined. Here, Copper (Cu) and Chromium (Cr) are used as magnetron targets. The value of plasma parameters such as electron temperature (kT{sub e}), electron density (N{sub e}), ion density (N{sub i}), degree of ionization of Ar, and degree of dissociation of H{sub 2} for both the target are studied as a function of input power and hydrogen content in the discharge. The plasma parameters are determined by using Langmuir probe and Optical emission spectroscopy. On the basis of the different reactions in the gas phase, the variation of plasma parameters and sputtering rate are explained. The obtained results show that electron and ion density decline with gradual addition of Hydrogen in the discharge and increase with rising input power. It brings significant changes on the degree of ionization of Ar and dissociation of H{sub 2}. The enhanced value of electron density (N{sub e}), ion density (N{sub i}), degree of Ionization of Ar, and degree of dissociation of H{sub 2} for Cr compared to Cu target is explained on the basis of it's higher Ion Induced Secondary Electron Emission Coefficient (ISEE) value.
Short communication Real-time estimation of lead-acid battery parameters: A dynamic
Ray, Asok
Short communication Real-time estimation of lead-acid battery parameters: A dynamic data of State of charge (SOC) and State of health (SOH) in lead-acid batteries. Algorithm development based Lead-acid battery Symbolic dynamic filtering k-NN regression a b s t r a c t This short paper presents
Paris-Sud XI, Université de
Compost mixture influence of interactive physical parameters on microbial kinetics and substrate 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 Composting is a feasible by selecting an initial compost recipe with physical properties that enhance microbial activity. The present
Decentralized Control of Power Systems via Robust Control of Uncertain Markov Jump Parameter Systems
Pota, Himanshu Roy
are regulated by small disturbance controllers whose gains are adjusted for variations in power system model due control of small disturbances in interconnected power systems. The linearized power system dynamic modelDecentralized Control of Power Systems via Robust Control of Uncertain Markov Jump Parameter
Zhou, Jianxin
Control of Nonlinear Distributed Parameter Systems edited by Goong Chen, Texas A&M University, College Station, Texas Irena Lasiecka, University of Virginia, Charlottesville, Virginia Jianxin Zhou, Texas A&M University, College Station, Texas #12;iii Preface This volume is an outgrowth
Information on the impact parameter dependence of the Ba + HI ---+ Bal(v = 8) + H reaction
Zare, Richard N.
velocity dependence of the reaction channel studied. Ifthe reaction probability is the same for allInformation on the impact parameter dependence of the Ba + HI ---+ Bal(v = 8) + H reaction Chifuru measured for the beam-gas reaction Ba + HI ---+ BaI(v = 8) + H. Owing to the highly constrained kinematics
Similarity Parameter Evolution within a Magnetic Nozzle with Applications to Laboratory Plasmas
Choueiri, Edgar
by which ions are accelerated is fundamental to the understanding of magnetic nozzles for propulsionSimilarity Parameter Evolution within a Magnetic Nozzle with Applications to Laboratory Plasmas IEPC-2011-229 Presented at the 32nd International Electric Propulsion Conference, Wiesbaden, Germany
Boyer, Edmond
Genetic and phenotypic parameters of egg production and some constituents of blood serum in Fayoumi (i) egg production beside the following blood serum constituents: (2) inorganic phosphorus, (3 the daughters of 40 sires and 241 dams. Blood serum analyses were done using the Sequential Multiple Auto
Stochastic inversion of seismic PP and PS data for reservoir parameter estimation
Chen, Jinsong
Stochastic inversion of seismic PP and PS data for reservoir parameter estimation Jinsong Chen1-based Bayesian method developed previously for inverting seismic PP data only, by including PS responses and time et al., 2013) and res- ervoir characterization (Brettwood et al., 2013). In this study, we use
Parameter-insensitive kernel in extreme learning for non-linear support vector regression
Verleysen, Michel
Parameter-insensitive kernel in extreme learning for non-linear support vector regression Beno for regression which uses the e-sensitive loss and produces sparse models. However, non-linear SVRs are difficult.g. [24]). Used in conjunction with kernels, SVRs are powerful non-linear models for regression which
A DIFFUSION LMS STRATEGY FOR PARAMETER ESTIMATION IN NOISY REGRESSOR APPLICATIONS
Champagne, Benoît
A DIFFUSION LMS STRATEGY FOR PARAMETER ESTIMATION IN NOISY REGRESSOR APPLICATIONS Reza Abdolee ABSTRACT We study distributed least-mean square (LMS) estima- tion problems over adaptive networks, where this problem, we propose a distributed LMS algorithm that achieves asymptotically unbiased estimates via