INNOVATIVE CONCEPTS FOR ON-LINE SYNCHRONOUS GENERATOR PARAMETER ESTIMATION
INNOVATIVE CONCEPTS FOR ON-LINE SYNCHRONOUS GENERATOR PARAMETER ESTIMATION by Elias Kyriakides FOR ON-LINE SYNCHRONOUS GENERATOR PARAMETER ESTIMATION by Elias Kyriakides has been approved December ABSTRACT A method to identify synchronous generator parameters from on-line measurements is presented
Estimation of Synchronous Generator Parameters Using an Observer for Damper Currents@asu.edu ABSTRACT This paper presents a method to identify synchronous generator parameters from on-line data generator. #12;2 I. INTRODUCTION Synchronous generator parameter identification is a problem that has
Meliopoulos, Sakis; Cokkinides, George; Fardanesh, Bruce; Hedrington, Clinton
2013-12-31
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.
Estimation of the Alpha Factor Parameters for the Emergency Diesel Generators of Ulchin Unit 3
Dae Il Kang; Sang Hoon Han
2006-07-01
Up to the present, the generic values of the Common cause failure (CCF) event parameters have been used in most PSA projects for the Korean NPPs. However, the CCF analysis should be performed with plant specific information to meet Category II of the ASME PRA Standard. Therefore, we estimated the Alpha factor parameters of the emergency diesel generator (EDG) for Ulchin Unit 3 by using the International Common-Cause Failure data Exchange (ICDE) database. The ICDE database provides the member countries with only the information needed for an estimation of the CCF parameters. The Ulchin Unit A3, pressurized water reactor, has two onsite EDGs and one alternate AC (AAC) diesel generator. The onsite EDGs of Unit 3 and 4 and the AAC are manufactured by the same company, but they are designed differently. The estimation procedure of the Alpha factor used in this study follows the approach of the NUREG/CR-5485. Since we did not find any qualitative difference between the target systems (two EDGs of Ulchin Unit 3) and the original systems (ICDE database), the applicability factor of each CCF event in the ICDE database was assumed to be 1. For the case of three EDGs including the AAC, five CCF events for the EDGs in the ICDE database were identified to be screened out. However, the detailed information for the independent events in the ICDE database is not presented. Thus, we assumed that the applicability factors for the CCF events to be screened out were, to be conservative, 0.5 and those of the other CCF events were 1. The study results show that the estimated Alpha parameters by using the ICDE database are lower than the generic values of the NUREG/CR-5497. The EDG system unavailability of the 1 out of 3 success criterion except for the supporting systems was calculated as 2.76 E-3. Compared with the system unavailability estimated by using the data of NUREG/CR-5497, it is decreased by 31.2%. (authors)
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; Cavagliŕ, 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
2013-01-01
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...
Parameter Estimation Through Ignorance
Hailiang Du; Leonard A. Smith
2012-06-06
Dynamical modelling lies at the heart of our understanding of physical systems. Its role in science is deeper than mere operational forecasting, in that it allows us to evaluate the adequacy of the mathematical structure of our models. Despite the importance of model parameters, there is no general method of parameter estimation outside linear systems. A new relatively simple method of parameter estimation for nonlinear systems is presented, based on variations in the accuracy of probability forecasts. It is illustrated on the Logistic Map, the Henon Map and the 12-D Lorenz96 flow, and its ability to outperform linear least squares in these systems is explored at various noise levels and sampling rates. As expected, it is more effective when the forecast error distributions are non-Gaussian. The new method selects parameter values by minimizing a proper, local skill score for continuous probability forecasts as a function of the parameter values. This new approach is easier to implement in practice than alternative nonlinear methods based on the geometry of attractors or the ability of the model to shadow the observations. New direct measures of inadequacy in the model, the "Implied Ignorance" and the information deficit are introduced.
Hydrocarbon Reservoir Parameter Estimation Using
van Vliet, Lucas J.
Hydrocarbon Reservoir Parameter Estimation Using Production Data and Time-Lapse Seismic #12;#12;Hydrocarbon Reservoir Parameter Estimation Using Production Data and Time-Lapse Seismic PROEFSCHRIFT ter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Recovery process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.3 Field
Synchronous Machine Parameter Estimation Using Orthogonal Series Expansion
Synchronous Machine Parameter Estimation Using Orthogonal Series Expansion J. Rico G. T. Heydt A an alternative to estimate armature circuit parameters of large utility generators using real time operating data of digital fault recorder data to identify synchronous machine parameters. 1. INTRODUCTION The use orthogonal
Identification and Tracking of Parameters for a Large Synchronous Generator
Identification and Tracking of Parameters for a Large Synchronous Generator Final Project Report and Tracking of Parameters for a Large Synchronous Generator Final Project Report G. T. Heydt, Project Leader for a Large Synchronous Generator 1. Introduction The power system state estimation problem ha
Lensed CMB simulation and parameter estimation
Antony Lewis
2010-11-16
Modelling of the weak lensing of the CMB will be crucial to obtain correct cosmological parameter constraints from forthcoming precision CMB anisotropy observations. The lensing affects the power spectrum as well as inducing non-Gaussianities. We discuss the simulation of full sky CMB maps in the weak lensing approximation and describe a fast numerical code. The series expansion in the deflection angle cannot be used to simulate accurate CMB maps, so a pixel remapping must be used. For parameter estimation accounting for the change in the power spectrum but assuming Gaussianity is sufficient to obtain accurate results up to Planck sensitivity using current tools. A fuller analysis may be required to obtain accurate error estimates and for more sensitive observations. We demonstrate a simple full sky simulation and subsequent parameter estimation at Planck-like sensitivity. The lensed CMB simulation and parameter estimation codes are publicly available.
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 ...
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 on grand challenge problems. In today's petroleum industry, reservoir simulators are routinely used parameters in petroleum and groundwater models. It is not intended to be exhaustive, but rather to give
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
Bayesian parameter estimation for effective field theories
Wesolowski, S; Furnstahl, R J; Phillips, D R; Thapaliya, A
2015-01-01
We present procedures based on Bayesian statistics for effective field theory (EFT) parameter estimation from data. The extraction of low-energy constants (LECs) is guided by theoretical expectations that supplement such information in a quantifiable way through the specification of Bayesian priors. A prior for natural-sized LECs reduces the possibility of overfitting, and leads to a consistent accounting of different sources of uncertainty. A set of diagnostic tools are developed that analyze the fit and ensure that the priors do not bias the EFT parameter estimation. The procedures are illustrated using representative model problems and the extraction of LECs for the nucleon mass expansion in SU(2) chiral perturbation theory from synthetic lattice data.
Estimation of economic parameters of U.S. hydropower resources
Hall, Douglas G.; Hunt, Richard T.; Reeves, Kelly S.; Carroll, Greg R.
2003-06-01
Tools for estimating the cost of developing and operating and maintaining hydropower resources in the form of regression curves were developed based on historical plant data. Development costs that were addressed included: licensing, construction, and five types of environmental mitigation. It was found that the data for each type of cost correlated well with plant capacity. A tool for estimating the annual and monthly electric generation of hydropower resources was also developed. Additional tools were developed to estimate the cost of upgrading a turbine or a generator. The development and operation and maintenance cost estimating tools, and the generation estimating tool were applied to 2,155 U.S. hydropower sites representing a total potential capacity of 43,036 MW. The sites included totally undeveloped sites, dams without a hydroelectric plant, and hydroelectric plants that could be expanded to achieve greater capacity. Site characteristics and estimated costs and generation for each site were assembled in a database in Excel format that is also included within the EERE Library under the title, “Estimation of Economic Parameters of U.S. Hydropower Resources - INL Hydropower Resource Economics Database.”
MIXMAX random number generator. Generalised parameters
Savvidy, Konstantin
2015-01-01
We are exploring the parameter space of the MIXMAX random number generator, which is based on Kolmogorov-Anosov C-system defined on a torus. For a two-parameter family of C-system operators A(N,s), parametrised by the integers N and s, we found new larger values of N. One can deduce from this data that the entropy and the period are sharply increasing with N. For all of these parameters, the sequence passes all tests in the BigCrush suite. For the largest of them, N=44851, the period approaches million digits. The generator with N=256 and s=487013230256099064 has the best combination of speed, reasonable size of the state and availability for implementing the parallelisation and is currently the default generator in the ROOT software package at CERN. A three-parameter generator A(N,s,m) of the MIXMX family of generators is also presented, and it provides high quality statistical properties for small values of N.
Parameter estimation, nonlinearity and Occam's razor
Leandro M. Alonso
2014-10-30
Nonlinear systems are capable of displaying complex behavior even if this is the result of a small number of interacting time scales. A widely studied case is when complex dynamics emerges out of a nonlinear system being forced by a simple harmonic function. In order to identify if a recorded time series is the result of a nonlinear system responding to a simpler forcing, we develop a discrete nonlinear transformation for time series based on synchronization techniques. This allows a parameter estimation procedure which simultaneously searches for a good fit of the recorded data, and small complexity of a fluctuating driving parameter. We illustrate this procedure using data from respiratory patterns during birdsong production.
Fast cosmological parameter estimation using neural networks
T. Auld; M. Bridges; M. P. Hobson; S. F. Gull
2007-09-17
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.
Derivative-free optimization for parameter estimation in computational...
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Derivative-free optimization for parameter estimation in computational nuclear physics Citation Details In-Document Search Title: Derivative-free optimization for parameter...
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
System and method for motor parameter estimation
Luhrs, Bin; Yan, Ting
2014-03-18
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.
Basin structure of optimization based state and parameter estimation
Jan Schumann-Bischoff; Ulrich Parlitz; Henry D. I. Abarbanel; Mark Kostuk; Daniel Rey; Michael Eldridge; Stefan Luther
2015-07-08
Most data based state and parameter estimation methods require suitable initial values or guesses to achieve convergence to the desired solution, which typically is a global minimum of some cost function. Unfortunately, however, other stable solutions (e.g., local minima) may exist and provide suboptimal or even wrong estimates. Here we demonstrate for a 9-dimensional Lorenz-96 model how to characterize the basin size of the global minimum when applying some particular optimization based estimation algorithm. We compare three different strategies for generating suitable initial guesses and we investigate the dependence of the solution on the given trajectory segment (underlying the measured time series). To address the question of how many state variables have to be measured for optimal performance, different types of multivariate time series are considered consisting of 1, 2, or 3 variables. Based on these time series the local observability of state variables and parameters of the Lorenz-96 model is investigated and confirmed using delay coordinates. This result is in good agreement with the observation that correct state and parameter estimation results are obtained if the optimization algorithm is initialized with initial guesses close to the true solution. In contrast, initialization with other exact solutions of the model equations (different from the true solution used to generate the time series) typically fails, i.e. the optimization procedure ends up in local minima different from the true solution. Initialization using random values in a box around the attractor exhibits success rates depending on the number of observables and the available time series (trajectory segment).
Parameter estimation with Sandage-Loeb test
Jia-Jia Geng; Jing-Fei Zhang; Xin Zhang
2014-11-28
The Sandage-Loeb (SL) test directly measures the expansion rate of the universe in the redshift range of $2\\lesssim z\\lesssim 5$ by detecting redshift drift in the spectra of Lyman-$\\alpha$ forest of distant quasars. We discuss the impact of the future SL test data on parameter estimation for the $\\Lambda$CDM, the $w$CDM, and the $w_0w_a$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 $\\Omega_m$ and $H_0$ 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 $\\Omega_m$ and $H_0$ 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 $w_0$ and $w_a$ 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 $\\Omega_m$, $H_0$, and $w_a$ by more than 70\\%, 20\\%, and 60\\%, respectively, for the $w_0w_a$CDM model.
Parameter estimation with Sandage-Loeb test
Geng, Jia-Jia; Zhang, Jing-Fei; Zhang, Xin E-mail: jfzhang@mail.neu.edu.cn
2014-12-01
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.
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
Nonlinear parameter estimation in parallel computing environments
Li, Jie
1996-01-01
Paragon supercomputer. We use a two-dimensional permeability estimation problem as the example to test and demonstrate the usage of the parallel PEST. An existing simulator program called US3D, which solves the three-dimensional groudwater flow...
Reliable estimation of biochemical parameters from C3 leafphotosynthe...
Office of Scientific and Technical Information (OSTI)
Reliable estimation of biochemical parameters from C3 leaf photosynthesis-intercellular carbon dioxide response curves Citation Details In-Document Search Title: Reliable...
turbine dynamics, parameter estimation, trajectory sensitivity. I. INTRODUCTION WIND generation has of wind turbine generators (WTGs) on power system dynamic performance is becoming increasingly importantCopyright © 2008 IEEE. Reprinted from J. Rose, and I. Hiskens. Estimating Wind Turbine Parameters
On the empirical statistics of parameter estimates in parametric modeling
Zhu, Yao
1988-01-01
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 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
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
Estimating atmospheric parameters and reducing noise for multispectral imaging
Conger, James Lynn
2014-02-25
A method and system for estimating atmospheric radiance and transmittance. An atmospheric estimation system is divided into a first phase and a second phase. The first phase inputs an observed multispectral image and an initial estimate of the atmospheric radiance and transmittance for each spectral band and calculates the atmospheric radiance and transmittance for each spectral band, which can be used to generate a "corrected" multispectral image that is an estimate of the surface multispectral image. The second phase inputs the observed multispectral image and the surface multispectral image that was generated by the first phase and removes noise from the surface multispectral image by smoothing out change in average deviations of temperatures.
Mesoscale ensemble-based data assimilation and parameter estimation
Aksoy, Altug
2005-11-01
-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...
Efficient Cosmological Parameter Estimation from Microwave Background Anisotropies
Arthur Kosowsky; Milos Milosavljevic; Raul Jimenez
2002-06-02
We revisit the issue of cosmological parameter estimation in light of current and upcoming high-precision measurements of the cosmic microwave background power spectrum. Physical quantities which determine the power spectrum are reviewed, and their connection to familiar cosmological parameters is explicated. We present a set of physical parameters, analytic functions of the usual cosmological parameters, upon which the microwave background power spectrum depends linearly (or with some other simple dependence) over a wide range of parameter values. With such a set of parameters, microwave background power spectra can be estimated with high accuracy and negligible computational effort, vastly increasing the efficiency of cosmological parameter error determination. The techniques presented here allow calculation of microwave background power spectra $10^5$ times faster than comparably accurate direct codes (after precomputing a handful of power spectra). We discuss various issues of parameter estimation, including parameter degeneracies, numerical precision, mapping between physical and cosmological parameters, and systematic errors, and illustrate these considerations with an idealized model of the MAP experiment.
Improved lumped parameter thermal modelling of synchronous generators
Mejuto, Carlos
2010-01-01
Within the existing available mix of numerical and analytical thermal analysis options, lumped parameter thermal modelling is selected as the operational backbone to develop an improved novel synchronous generator thermal ...
Cosmological parameter estimation using Particle Swarm Optimization (PSO)
Jayanti Prasad; Tarun Souradeep
2012-07-02
Obtaining the set of cosmological parameters consistent with observational data is an important exercise in current cosmological research. It involves finding the global maximum of the likelihood function in the multi-dimensional parameter space. Currently sampling based methods, which are in general stochastic in nature, like Markov-Chain Monte Carlo(MCMC), are being commonly used for parameter estimation. The beauty of stochastic methods is that the computational cost grows, at the most, linearly in place of exponentially (as in grid based approaches) with the dimensionality of the search space. MCMC methods sample the full joint probability distribution (posterior) from which one and two dimensional probability distributions, best fit (average) values of parameters and then error bars can be computed. In the present work we demonstrate the application of another stochastic method, named Particle Swarm Optimization (PSO), that is widely used in the field of engineering and artificial intelligence, for cosmological parameter estimation from WMAP seven years data. We find that there is a good agreement between the values of the best fit parameters obtained from PSO and publicly available code COSMOMC. However, there is a slight disagreement between error bars mainly due to the fact that errors are computed differently in PSO. Apart from presenting the results of our exercise, we also discuss the merits of PSO and explain its usefulness in more extensive search in higher dimensional parameter space.
Automatic Parameter Estimation in a Mesoscale Model Without Ensembles
Duane, Gregory S.
. Hacker National Center for Atmospheric Research, Boulder, CO gduane,hacker@ucar.edu In numerical as extra state variables, and applying standard data assimilation methods that use ensembles to rep- resent, it is argued that the approach to parameter estimation can be extended to a more general scheme for machine
Maximum likelihood parameter estimation in time series models using sequential Monte Carlo
Yildirim, Sinan
2013-06-11
, respectively. This approach is useful to handle the case where the columns of Y are generated sequentially in time, such as in audio signal processing. Usually very large number of columns in Y leads to the necessity of online algorithms to learn the model... .6 (dashed lines). For illustrative purposes, every 1000th estimate is shown . . . . . . . . . . . . . . . . . . . . . . . 130 6.1 Histograms of Monte Carlo estimates of gradients of log p?,?,?? (Y ?,?,?) w.r.t. the parameters of the ?-stable distribution...
Estimation of stellar atmospheric parameters from SDSS/SEGUE spectra
P. Re Fiorentin; C. A. L. Bailer-Jones; Y. S. Lee; T. C. Beers; T. Sivarani; R. Wilhelm; C. Allende Prieto; J. E. Norris
2007-03-13
We present techniques for the estimation of stellar atmospheric parameters (Teff,logg,[Fe/H]) for stars from the SDSS/SEGUE survey. The atmospheric parameters are derived from the observed medium-resolution (R=2000) stellar spectra using non-linear regression models trained either on (1) pre-classified observed data or (2) synthetic stellar spectra. In the first case we use our models to automate and generalize parametrization produced by a preliminary version of the SDSS/SEGUE Spectroscopic Parameter Pipeline (SSPP). In the second case we directly model the mapping between synthetic spectra (derived from Kurucz model atmospheres) and the atmospheric parameters, independently of any intermediate estimates. After training, we apply our models to various samples of SDSS spectra to derive atmospheric parameters, and compare our results with those obtained previously by the SSPP for the same samples. We obtain consistency between the two approaches, with RMS deviations of 150K in Teff, 0.35dex in logg, and 0.22dex in [Fe/H]. The models are applied to pre-processed spectra, either via Principal Components Analysis or a Wavelength Range Selection method, which employs a subset of the full 3850-9000A spectral range. This is both for computational reasons, and because it delivers higher accuracy. From an analysis of cluster candidates with available SDSS spectroscopy (M15, M13, M2, and NGC2420), we find evidence for small systematic offsets in Teff and/or logg for the atmospheric parameter estimates from the model trained on real data with the SSPP. Thus, this model turns out to derive more precise, but less accurate, atmospheric parameters than the model trained on synthetic data.
Cosmological parameter estimation using Particle Swarm Optimization (PSO)
Prasad, Jayanti
2011-01-01
Obtaining the set of cosmological parameters consistent with observational data is an important exercise in current cosmological research. It involves finding the global maximum of the likelihood function in the multi-dimensional parameter space. Currently sampling based methods, which are in general stochastic in nature, like Markov-Chain Monte Carlo(MCMC), are being commonly used for parameter estimation. The beauty of stochastic methods is that the computational cost grows, at the most, linearly in place of exponentially (as in grid based approaches) with the dimensionality of the search space. MCMC methods sample the full joint probability distribution (posterior) from which one and two dimensional probability distributions, best fit (average) values of parameters and then error bars can be computed. In the present work we demonstrate the application of another stochastic method, named Particle Swarm Optimization (PSO), that is widely used in the field of engineering and artificial intelligence, for cosmo...
Design of a robust parameter estimator for nominally Laplacian noise
Bhagawat, Pankaj
2004-09-30
of standard deviation. 5 CHAPTER II MAXIMUM LIKELIHOOD ESTIMATOR(ML)FOR LAPLACIAN DATA The probability distribution function for Laplacian noise is given by f(x) = de jxj a c (2.1) where c = 2 and d = 12 (2.2) where is the standard deviation. In this work...jxj; jxj < +k p2k; x < k (3.21) Also notice that the parameter to be estimated for Laplacian data is its standard deviation ; thus, should be replaced by . The speci c integral parts for the Laplace distribution of the equation (3.20) can now...
Force Field Parameter Estimation of Functional Perfluoropolyether Lubricants
Smith, R.; Chung, P.S.; Steckel, J; Jhon, M.S.; Biegler, L.T.
2011-01-01
The head disk interface in a hard disk drive can be considered to be one of the hierarchical multiscale systems, which require the hybridization of multiscale modeling methods with coarse-graining procedure. However, the fundamental force field parameters are required to enable the coarse-graining procedure from atomistic/molecular scale to mesoscale models. In this paper, we investigate beyond molecular level and perform ab initio calculations to obtain the force field parameters. Intramolecular force field parameters for Zdol and Ztetraol were evaluated with truncated PFPE molecules to allow for feasible quantum calculations while still maintaining the characteristic chemical structure of the end groups. Using the harmonic approximation to the bond and angle potentials, the parameters were derived from the Hessian matrix, and the dihedral force constants are fit to the torsional energy profiles generated by a series of constrained molecular geometry optimization.
Force Field Parameter Estimation of Functional Perfluoropolyether Lubricants
Smith, R.; Chung, P.S.; Steckel, J; Jhon, M.S.; Biegler, L.T.
2011-01-01
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.
Optimizing qubit Hamiltonian parameter estimation algorithms using PSO
Alexandr Sergeevich; Stephen D. Bartlett
2012-06-18
We develop qubit Hamiltonian single parameter estimation techniques using a Bayesian approach. The algorithms considered are restricted to projective measurements in a fixed basis, and are derived under the assumption that the qubit measurement is much slower than the characteristic qubit evolution. We optimize a non-adaptive algorithm using particle swarm optimization (PSO) and compare with a previously-developed locally-optimal scheme.
Venkatasubramanian, Mani V.
. This is especially true for synchronous machines and their controls such as exciters, governors and limiters. In many, the estimation and periodic verification of the synchronous machine parameters and control parameters. Index Terms--Parameter estimation, synchronous generator model, simulation optimization method. I
Multi-parameter estimating photometric redshifts with artificial neural networks
Lili Li; Yanxia Zhang; Yongheng Zhao; Dawei Yang
2007-04-17
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.
Kundu, Debasis
11]), in biomedical signal processing ([12,13]), modeling of biological systems ([14,15]), radio location of distant problem in digital signal processing. In this paper, we consider the problem of estimation of parameters are present in a variety of signal processing applications and time series data analysis. The review work
Probabilistic Constraint Programming for Parameters Optimisation of Generative Models
Zanin, Massimiliano; Sousa, Pedro A C; Cruz, Jorge
2015-01-01
Complex networks theory has commonly been used for modelling and understanding the interactions taking place between the elements composing complex systems. More recently, the use of generative models has gained momentum, as they allow identifying which forces and mechanisms are responsible for the appearance of given structural properties. In spite of this interest, several problems remain open, one of the most important being the design of robust mechanisms for finding the optimal parameters of a generative model, given a set of real networks. In this contribution, we address this problem by means of Probabilistic Constraint Programming. By using as an example the reconstruction of networks representing brain dynamics, we show how this approach is superior to other solutions, in that it allows a better characterisation of the parameters space, while requiring a significantly lower computational cost.
Estimation of the parameters in the generalized gamma distribution
Collins, Claude Ann
1966-01-01
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...
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 ...
C. Pankow; P. Brady; E. Ochsner; R. O'Shaughnessy
2015-02-15
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.
Parameter and state estimation in nonlinear dynamical systems
Creveling, Daniel R.
2008-01-01
and J. Kurths. Nonlinear dynamical system identi?ca- tionEstimation In Nonlinear Dynamical Systems A dissertationState Estimation In Nonlinear Dynamical Systems by Daniel R.
Biomass Power Generation Market Capacity is Estimated to Reach...
Biomass Power Generation Market Capacity is Estimated to Reach 122,331.6 MW by 2022 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150)...
Deep-water gravity waves: theoretical estimating of wave parameters
Mindlin, Ilia M
2014-01-01
This paper addresses deep-water gravity waves of finite amplitude generated by an initial disturbance to the water. It is assumed that the horizontal dimensions of the initially disturbed body of the water are much larger than the magnitude of the free surface displacement in the origin of the waves. Initially the free surface has not yet been displaced from its equilibrium position, but the velocity field has already become different from zero. This means that the water at rest initially is set in motion suddenly by an impulse. Duration of formation of the wave origin and the maximum water elevation in the origin are estimated using the arrival times of the waves and the maximum wave-heights at certain locations obtained from gauge records at the locations, and the distances between the centre of the origin and each of the locations. For points situated at a long distance from the wave origin, forecast is made for the travel time and wave height at the points. The forecast is based on the data recorded by th...
Estimating functions based on eigenfunctions of the generator.
SĂ¸rensen, Michael
Estimating functions based on eigenfunctions of the generator. Kessler and SĂ¸rensen (1999). dX t = b(X t )dt + #(X t )dW t , X 0 = x 0 Generator: The di#erential operator L = 1 2 # 2 (x) d 2 dx 2 + b is by Ito's formula a di#usion process with generator (L Y (f # u -1 ))(y) = (L X f)(u -1 (y
UWB channel estimation using new generating TR transceivers
Nekoogar, Faranak (San Ramon, CA); Dowla, Farid U. (Castro Valley, CA); Spiridon, Alex (Palo Alto, CA); Haugen, Peter C. (Livermore, CA); Benzel, Dave M. (Livermore, CA)
2011-06-28
The present invention presents a simple and novel channel estimation scheme for UWB communication systems. As disclosed herein, the present invention maximizes the extraction of information by incorporating a new generation of transmitted-reference (Tr) transceivers that utilize a single reference pulse(s) or a preamble of reference pulses to provide improved channel estimation while offering higher Bit Error Rate (BER) performance and data rates without diluting the transmitter power.
A novel method for improving the accuracy of parameter estimates
Otter, Russell William
1985-01-01
-Squares Estimation Measures of Accuracy The Monte Carlo Study CHAPTER IV RESULTS FROM THE MONTE CARLO STUDY vi viii iX 10 21 24 26 28 28 33 40 44 The ULS Results The DSLS Results Comparison of ULS and DSLS 56 66 The Effect of The True Function... used in unbiased estimation are discussed as well as the measures used for this study. In the last section the Monte Carlo method is described in detail. Least-Squares Estimation This section examines the choice of the objective function...
Global neutrino parameter estimation using Markov Chain Monte Carlo
Steen Hannestad
2007-10-10
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.
Ko, Kyungduk
2005-11-01
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 ...
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
Estimating Building Simulation Parameters via Bayesian Structure Learning
Edwards, Richard E [ORNL; New, Joshua Ryan [ORNL; Parker, Lynne Edwards [ORNL
2013-01-01
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.
Akrami, Yashar; Savage, Christopher; Scott, Pat; Conrad, Jan; Edsjö, Joakim E-mail: savage@fysik.su.se E-mail: conrad@fysik.su.se
2011-07-01
Models of weak-scale supersymmetry offer viable dark matter (DM) candidates. Their parameter spaces are however rather large and complex, such that pinning down the actual parameter values from experimental data can depend strongly on the employed statistical framework and scanning algorithm. In frequentist parameter estimation, a central requirement for properly constructed confidence intervals is that they cover true parameter values, preferably at exactly the stated confidence level when experiments are repeated infinitely many times. Since most widely-used scanning techniques are optimised for Bayesian statistics, one needs to assess their abilities in providing correct confidence intervals in terms of the statistical coverage. Here we investigate this for the Constrained Minimal Supersymmetric Standard Model (CMSSM) when only constrained by data from direct searches for dark matter. We construct confidence intervals from one-dimensional profile likelihoods and study the coverage by generating several pseudo-experiments for a few benchmark sets of pseudo-true parameters. We use nested sampling to scan the parameter space and evaluate the coverage for the benchmarks when either flat or logarithmic priors are imposed on gaugino and scalar mass parameters. The sampling algorithm has been used in the configuration usually adopted for exploration of the Bayesian posterior. We observe both under- and over-coverage, which in some cases vary quite dramatically when benchmarks or priors are modified. We show how most of the variation can be explained as the impact of explicit priors as well as sampling effects, where the latter are indirectly imposed by physicality conditions. For comparison, we also evaluate the coverage for Bayesian credible intervals, and observe significant under-coverage in those cases.
Yashar Akrami; Christopher Savage; Pat Scott; Jan Conrad; Joakim Edsjö
2011-07-13
Models of weak-scale supersymmetry offer viable dark matter (DM) candidates. Their parameter spaces are however rather large and complex, such that pinning down the actual parameter values from experimental data can depend strongly on the employed statistical framework and scanning algorithm. In frequentist parameter estimation, a central requirement for properly constructed confidence intervals is that they cover true parameter values, preferably at exactly the stated confidence level when experiments are repeated infinitely many times. Since most widely-used scanning techniques are optimised for Bayesian statistics, one needs to assess their abilities in providing correct confidence intervals in terms of the statistical coverage. Here we investigate this for the Constrained Minimal Supersymmetric Standard Model (CMSSM) when only constrained by data from direct searches for dark matter. We construct confidence intervals from one-dimensional profile likelihoods and study the coverage by generating several pseudo-experiments for a few benchmark sets of pseudo-true parameters. We use nested sampling to scan the parameter space and evaluate the coverage for the benchmarks when either flat or logarithmic priors are imposed on gaugino and scalar mass parameters. The sampling algorithm has been used in the configuration usually adopted for exploration of the Bayesian posterior. We observe both under- and over-coverage, which in some cases vary quite dramatically when benchmarks or priors are modified. We show how most of the variation can be explained as the impact of explicit priors as well as sampling effects, where the latter are indirectly imposed by physicality conditions. For comparison, we also evaluate the coverage for Bayesian credible intervals, and observe significant under-coverage in those cases.
DISLOCATION GENERATION IN Si: A THERMO-MECHANICAL MODEL BASED ON MEASURABLE PARAMETERS*
Balzar, Davor
DISLOCATION GENERATION IN Si: A THERMO-MECHANICAL MODEL BASED ON MEASURABLE PARAMETERS* Bhushan for predicting dislocation distribution generated by thermal stresses in Si is described. We use that can minimize dislocation generation for improved solar cell performance. INTRODUCTION Dislocations
Tonn, B.; Hwang, Ho-Ling; Elliot, S.; Peretz, J.; Bohm, R.; Hendrucko, B.
1994-04-01
This report contains descriptions of methodologies to be used to estimate the one-time generation of hazardous waste associated with five different types of remediation programs: Superfund sites, RCRA Corrective Actions, Federal Facilities, Underground Storage Tanks, and State and Private Programs. Estimates of the amount of hazardous wastes generated from these sources to be shipped off-site to commercial hazardous waste treatment and disposal facilities will be made on a state by state basis for the years 1993, 1999, and 2013. In most cases, estimates will be made for the intervening years, also.
Estimation of Groundwater Flow Parameters Using Least Squares
in a groundwater aquifer is estimation of the subsurface physical pa rameters, particularly the hydraulic conductivity. Wells are expensive to drill, and the cost of time, equipment and manpower to make accurate ; (1) hj @\\Omega = g where K is the hydraulic conductivity, h is the hydraulic head, g represents
Identification of the Catalytic Mechanism and Estimation of Kinetic Parameters for Fumarase*S
mechanism and design a series of experiments to estimate the model parameters and identify the major flux elementary reaction steps shown in Fig. 1A. In this proposed mechanism, a hydrogen ion and fumarate moleculeIdentification of the Catalytic Mechanism and Estimation of Kinetic Parameters for Fumarase
Zhang, Z. F.; Ward, Andy L.; Gee, Glendon W.
2002-12-10
As the Hanford Site transitions into remediation of contaminated soil waste sites and tank farm closure, more information is needed about the transport of contaminants as they move through the vadose zone to the underlying water table. The hydraulic properties must be characterized for accurate simulation of flow and transport. This characterization includes the determination of soil texture types, their three-dimensional distribution, and the parameterization of each soil texture. This document describes a method to estimate the soil hydraulic parameter using the parameter scaling concept (Zhang et al. 2002) and inverse techniques. To this end, the Groundwater Protection Program Science and Technology Project funded vadose zone transport field studies, including analysis of the results to estimate field-scale hydraulic parameters for modeling. Parameter scaling is a new method to scale hydraulic parameters. The method relates the hydraulic-parameter values measured at different spatial scales for different soil textures. Parameter scaling factors relevant to a reference texture are determined using these local-scale parameter values, e.g., those measured in the lab using small soil cores. After parameter scaling is applied, the total number of unknown variables in hydraulic parameters is reduced by a factor equal to the number of soil textures. The field-scale values of the unknown variables can then be estimated using inverse techniques and a well-designed field experiment. Finally, parameters for individual textures are obtained through inverse scaling of the reference values using an a priori relationship between reference parameter values and the specific values for each texture. Inverse methods have the benefits of 1) calculating parameter values that produce the best-fit between observed and simulated values, 2) quantifying the confidence limits in parameter estimates and the predictions, 3) providing diagnostic statistics that quantify the quality of calibration and data shortcomings and needs, and 4) not restricting the initial and boundary-flow conditions, the constitutive relationships, or the treatment of heterogeneity. On this project, inverse modeling was performed using the combination of two computer models, one for forward flow modeling and the other for nonlinear regression. The forward model used to simulate water flow was the Subsurface Transport Over Multiple Phases (STOMP) numerical simulator (White and Oostrom 2000). STOMP was designed to solve a variety of nonlinear, multiple-phase, flow and transport problems for unsaturated porous media. The Universal CODE (UCODE) model (Poeter and Hill 1998) was used to perform inverse modeling posed as a parameter-estimation problem using nonlinear regression. Inverse techniques were applied to two cases of one-dimensional flow in layered soils and one case of three-dimensional flow in a heterogeneous soil. The results show that the simulation errors were significantly reduced after applying parameter scaling and inverse modeling. When compared to the use of local-scale parameters, parameter scaling reduced the sum of squared weighted residue by 93 to 96% for the relatively smaller scale (~2 m [~6.6 ft]) one-dimensional flow and 59% for the more complex Sisson and Lu site, which has the spatial scale of about 18 m (60 ft). This parameter estimation method will be applied to analyze the first two years of field experiments completed at the Sisson and Lu site.
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
Chen, Jinsong
) presented a method for quantitative estimation of reservoir parameters (porosity, water saturationEstimating reservoir parameters from seismic and electromagnetic data using stochastic rock Berkeley National Laboratory Summary A Bayesian model is developed to estimate porosity, fluid saturation
Comparing the resolution of Bartlett and MVDR estimators for bottom parameter estimation using
Jesus, Sérgio M.
Experiment 2005 sea trial, off Kauai I., Hawaii (USA). Index Terms--Vector sensor arrays, bottom parameter
Quantum estimation of physical parameters in the spacetime of a rotating planet
Jan Kohlrus; David Edward Bruschi; Jorma Louko; Ivette Fuentes
2015-11-13
We employ quantum estimation techniques to obtain ultimate bounds on precision measurements of gravitational parameters of the spacetime outside a rotating planet. Spacetime curvature affects the frequency distribution of a photon sent from Earth to a satellite, and this change encodes parameters of the spacetime. This allows us to achieve precise measurements of parameters of Earth such as its Schwarzschild radius and equatorial angular velocity. We then are able to provide a comparison with the state-of-the-art in parameter estimation obtained through classical means. Extensions and future directions are also discussed.
Quantum estimation of physical parameters in the spacetime of a rotating planet
Kohlrus, Jan; Louko, Jorma; Fuentes, Ivette
2015-01-01
We employ quantum estimation techniques to obtain ultimate bounds on precision measurements of gravitational parameters of the spacetime outside a rotating planet. Spacetime curvature affects the frequency distribution of a photon sent from Earth to a satellite, and this change encodes parameters of the spacetime. This allows us to achieve precise measurements of parameters of Earth such as its Schwarzschild radius and equatorial angular velocity. We then are able to provide a comparison with the state-of-the-art in parameter estimation obtained through classical means. Extensions and future directions are also discussed.
Anisotropic Parameter Estimation from PP and PS Waves in 4-Component Data
Traub, Barbel M
The estimation of anisotropic parameters in the shallow subsurface becomes increasingly important for 4C seismic data processing in order to obtain accurate images in both time and depth domain. I focus on two approaches ...
Masuda, H.; Claridge, D.
2012-01-01
This paper presents and evaluates an indirect data-driven method to estimate influential building parameters: air exchange rates and overall heat transfer coefficients of building envelopes from the separately metered energy use for electricity...
Cosmological parameter estimation with QUaD CMB polarization and temperature experiment
Memari, Yasin
2009-01-01
In this thesis we examine the theoretical origin and statistical features of the Cosmic Microwave Background radiation. We particularly focus on the CMB power spectra and cosmological parameter estimation from QUaD CMB ...
Control-oriented modeling and adaptive parameter estimation of a lithium ion intercalation cell
Bi, Pierre (Pierre Yanhe)
2015-01-01
Battery management systems using parameter and state estimators based on electrochemical models for Lithium ion cells, are promising efficient use and safety of the battery. In this thesis, two findings related to ...
A Performance Estimator for Quantum Annealers: Gauge selection and Parameter Setting
Alejandro Perdomo-Ortiz; Joseph Fluegemann; Rupak Biswas; Vadim N. Smelyanskiy
2015-03-03
With the advent of large-scale quantum annealing devices, several challenges have emerged. For example, it has been shown that the performance of a device can be significantly affected by several degrees of freedom when programming the device; a common example being gauge selection. To date, no experimentally-tested strategy exists to select the best programming specifications. We developed a score function that can be calculated from a number of readouts much smaller than the number of readouts required to find the desired solution. We show how this performance estimator can be used to guide, for example, the selection of the optimal gauges out of a pool of random gauge candidates and how to select the values of parameters for which we have no a priori knowledge of the optimal value. For the latter, we illustrate the concept by applying the score function to set the strength of the parameter intended to enforce the embedding of the logical graph into the hardware architecture, a challenge frequently encountered in the implementation of real-world problem instances. Since the harder the problem instances, the more useful the strategies proposed in this work are, we expect the programming strategies proposed to significantly reduce the time of future benchmark studies and in help finding the solution of hard-to-solve real-world applications implemented in the next generation of quantum annealing devices.
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
SENSITIVITY OF SINGLE DIODE MODELS FOR PHOTOVOLTAIC MODULES TO METHOD USED FOR PARAMETER ESTIMATION
PV modules representative of a variety of technologies. Keywords: Modeling, Parameter estimation to represent the electrical performance of a photovoltaic (PV) module. A single diode model is formulated) but no standard method has been adopted by the broad community. Without a standard method for estimating model
ESTIMATING DAMPING PARAMETERS IN MULTI-DEGREE-OF-FREEDOM VIBRATION SYSTEMS BY BALANCING ENERGY0
Feeny, Brian
ESTIMATING DAMPING PARAMETERS IN MULTI-DEGREE-OF-FREEDOM VIBRATION SYSTEMS BY BALANCING ENERGY0 B is outlined, involving a balance of dissipated and supplied energies over a cycle of pe- riodic vibration a damping estimation method based on the balance of energy. The idea is to compute the energy input per
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
Parameter Estimation and Model Discrimination for a Lithium-Ion Cell
-18 This interest has been fueled by the combination of the fast growing lithium-ion battery market and the desireParameter Estimation and Model Discrimination for a Lithium-Ion Cell Shriram Santhanagopalan parameters using nonlinear regression from experimental charge/ discharge curves of a lithium-ion cell
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
Reservoir parameters estimation from well log and core data: a case study from the North Sea
Edinburgh, University of
Reservoir parameters estimation from well log and core data: a case study from the North Sea Jun approach to derive reservoir parameters from core and well-log data in claysand mixtures. This method volume, clay content, permeability and fluid saturation. This information is then fed into a velocity
Chen, Jinsong
Joint stochastic inversion of geophysical data for reservoir parameter estimation Jinsong Chen to estimate porosity ( ) and water saturation (Sw) using multiple sources of information, including borehole the stochastic framework, both reservoir parameters and geophysical attributes at unsampled locations
Archisman Ghosh; Walter Del Pozzo; Parameswaran Ajith
2015-05-21
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.
Mukhopadhyay, S.; Tsang, Y.; Finsterle, S.
2009-01-15
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.
Nicholls, Geoff
Estimating mutation parameters, population history and genealogy simultaneously from temporally and population size that incorporates the uncertainty in the genealogy of such temporally spaced sequences features of this approach on a genealogy of HIV-1 envelope (env) partial sequences. #12;1 Introduction One
Estimation of wave run-up on smooth, impermeable slopes using the wave momentum flux parameter
US Army Corps of Engineers
Estimation of wave run-up on smooth, impermeable slopes using the wave momentum flux parameter-examines existing wave run-up data for regular, irregular and solitary waves on smooth, impermeable plane slopes. A simple physical argument is used to derive a new wave run-up equation in terms of a dimensionless wave
Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models
Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models and characterize capacity fade in lithium-ion batteries. As a comple- ment to approaches to mathematically model been made in developing lithium-ion battery models that incor- porate transport phenomena
Which Dynamic Rupture Parameters Can Be Estimated from Strong Ground Motion and Geodetic Data?
Olsen, Kim Bak
of seismic waves as well as ground failure caused by the earthquake. The level and variation of the initialWhich Dynamic Rupture Parameters Can Be Estimated from Strong Ground Motion and Geodetic Data the constitutive laws and the initial stress on the fault control how the earthquake propagates and arrests
Stochastic inversion of seismic PP and PS data for reservoir parameter estimation
Chen, Jinsong
surveying has been used for hydrocarbon exploration for decades because it can capture the seismic wavefieldStochastic inversion of seismic PP and PS data for reservoir parameter estimation Jinsong Chen1 and Michael E. Glinsky2 ABSTRACT We have investigated the value of isotropic seismic con- verted-wave (i
IEEE SIGNAL PROCESSING LETTERS, VOL. 4, NO. 7, JULY 1997 195 Parameter Estimation in the Presence
Sayed, Ali
of bounded data uncertainties. The new method is suitable when a priori bounds on the uncertain data in estimation is to recover, to good accuracy, a set of unobservable parameters from corrupted data. Several of having had the most applications, are criteria that are based on quadratic cost functions. The most
DOE TASK 99-5 Update REFINEMENT AND VALIDATION OF IN SITU PARAMETER ESTIMATION
and Aerospace Engineering Stillwater, OK KEY WORDS geothermal energy, ground coupled, heat pump, heat exchanger as large residential buildings. The number of boreholes and the depth and cost of each borehole are highly the confidence in the parameter estimation model. This is to be done using a medium-scale borehole apparatus
IEEE TRANSACTIONS ON IMAGE PROCESSING 1 Image Sensor Noise Parameter Estimation by
Hesser, Jürgen
IEEE TRANSACTIONS ON IMAGE PROCESSING 1 Image Sensor Noise Parameter Estimation by Variance-independent electric and thermal noise is decreasing [4], and photon noise is becoming the main Copyright (c) 2014 IEEE must be obtained from the IEEE by sending a request to pubs-permissions@ieee.org. This work
Short communication Real-time estimation of lead-acid battery parameters: A dynamic
Ray, Asok
squares) have been applied to lead-acid [1] and lithium-ion [2] batteries. This paper proposes a dynamicShort 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
A model for pricing data bundles based on minimax risks for estimation of a location parameter
Robertson, Edward L.
A model for pricing data bundles based on minimax risks for estimation of a location parameter of progress on the fundamental conceptual issues of the mathematical modeling of data, increasingly attention to this line of work; in particular, we propose and analyze a model for the pricing of data when the value
Parameter Estimation and Life Modeling of Lithium-Ion Cells Shriram Santhanagopalan,*,a
Parameter Estimation and Life Modeling of Lithium-Ion Cells Shriram Santhanagopalan,*,a Qi Zhang Carolina, Columbia, South Carolina 29208, USA Lithium-ion pouch cells were cycled at five different. The lithium-ion cell is among the most popular candidates con- sidered actively as a replacement for nickel
Modeling and Bayesian parameter estimation for shape memory alloy bending actuators
. In this paper we employ a computationally efficient model for a SMA bending actuator. Furthermore, we utilizeModeling and Bayesian parameter estimation for shape memory alloy bending actuators John H. Crewsa Carolina State University, Raleigh, NC, United States ABSTRACT In this paper, we employ a homogenized
Parameter Estimates for High-Level Nuclear Transport in Fractured Porous Media
Douglas Jr., Jim
for the transport of a chain of radioactive waste products in certain fractured porous media. The formulation begins of radioactive waste prod- ucts in certain fractured porous media. The model is intended to be a reason- ablyParameter Estimates for High-Level Nuclear Transport in Fractured Porous Media Jim Douglas, Jr. #3
Statistical Simulation to Estimate Uncertain Behavioral Parameters of Hybrid Energy-Economy Models
functions. Policies that change energy prices, such as a tax on GHG emissions, can be simulated for their effect on output, energy demand, and, as a result, emissions. The model responses to these price changesStatistical Simulation to Estimate Uncertain Behavioral Parameters of Hybrid Energy-Economy Models
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
Estimation of Distributed Parameters in Permittivity Models of Composite Dielectric Materials Using
such as ceramic matrix composites (CMC's) are currently being studied for their use in a wide rangeEstimation of Distributed Parameters in Permittivity Models of Composite Dielectric Materials Using the feasibility of quantifying properties of a composite dielectric ma- terial through the reflectance, where
Luhua, Lai
Estimating ProteinLigand Binding Free Energy: Atomic Solvation Parameters for Partition Coefficient and Solvation Free Energy Calculation Jianfeng Pei,1,2 Qi Wang,1,2 Jiaju Zhou,3 and Luhua Lai1 free energy and the correct scoring in docking studies. We have developed a new solvation energy
Estimating home energy decision parameters for a hybrid energyYeconomy policy model
, household energy demand, hybrid energy model, bottom-up energy model 1. Introduction: energy a variety of energyYeconomy models are available to forecast the effectiveness of energy and envi- ronmentEstimating home energy decision parameters for a hybrid energyYeconomy policy model Mark Jaccard
Ajo-Franklin, Jonathan
models on estimates of reservoir parameters from joint inversion of seismic AVA and CSEM data. The reser framework and Markov Chain Monte Carlo methods, we obtain estimates of reservoir parameters as well as of the uncertainty in the estimates. Synthetic case studies show that uncertainties in both rock-physics models
SDSS/SEGUE spectral feature analysis for stellar atmospheric parameter estimation
Li, Xiangru; Lu, Yu; Yang, Tan; Wang, Yongjun; Wu, Q. M. Jonathan; Luo, Ali; Zhao, Yongheng; Zuo, Fang
2014-08-01
Large-scale and deep sky survey missions are rapidly collecting a large amount of stellar spectra, which necessitate the estimation of atmospheric parameters directly from spectra and make it feasible to statistically investigate latent principles in a large data set. We present a technique for estimating parameters T{sub eff}, log g, and [Fe/H] from stellar spectra. With this technique, we first extract features from stellar spectra using the LASSO algorithm; then, the parameters are estimated from the extracted features using the support vector regression. On a subsample of 20,000 stellar spectra from the Sloan Digital Sky Survey (SDSS) with reference parameters provided by the SDSS/SEGUE Spectroscopic Parameter Pipeline, estimation consistency are 0.007458 dex for log T{sub eff} (101.609921 K for T{sub eff}), 0.189557 dex for log g, and 0.182060 for [Fe/H], where the consistency is evaluated by mean absolute error. Prominent characteristics of the proposed scheme are sparseness, locality, and physical interpretability. In this work, each spectrum consists of 3821 fluxes, and 10, 19, and 14 typical wavelength positions are detected, respectively, for estimating T{sub eff}, log g, and [Fe/H]. It is shown that the positions are related to typical lines of stellar spectra. This characteristic is important in investigating physical indications from analysis results. Then, stellar spectra can be described by the individual fluxes on the detected positions (PD) or local integration of fluxes near them (LI). The aforementioned consistency is the result based on features described by LI. If features are described by PD, consistency is 0.009092 dex for log T{sub eff} (124.545075 K for T{sub eff}), 0.198928 dex for log g, and 0.206814 dex for [Fe/H].
Parameter estimation on gravitational waves from neutron-star binaries with spinning components
Ben Farr; Christopher P. L. Berry; Will M. Farr; Carl-Johan Haster; Hannah Middleton; Kipp Cannon; Philip B. Graff; Chad Hanna; Ilya Mandel; Chris Pankow; Larry R. Price; Trevor Sidery; Leo P. Singer; Alex L. Urban; Alberto Vecchio; John Veitch; Salvatore Vitale
2015-08-24
Inspiraling binary neutron stars are expected to be one of the most significant sources of gravitational-wave signals for the new generation of advanced ground-based detectors. Advanced LIGO will begin operation in 2015 and we investigate how well we could hope to measure properties of these binaries should a detection be made in the first observing period. We study an astrophysically motivated population of sources (binary components with masses $1.2~\\mathrm{M}_\\odot$-$1.6~\\mathrm{M}_\\odot$ and spins of less than $0.05$) using the full LIGO analysis pipeline. While this simulated population covers the observed range of potential binary neutron-star sources, we do not exclude the possibility of sources with parameters outside these ranges; given the existing uncertainty in distributions of mass and spin, it is critical that analyses account for the full range of possible mass and spin configurations. We find that conservative prior assumptions on neutron-star mass and spin lead to average fractional uncertainties in component masses of $\\sim 16\\%$, with little constraint on spins (the median $90\\%$ upper limit on the spin of the more massive component is $\\sim 0.7$). Stronger prior constraints on neutron-star spins can further constrain mass estimates, but only marginally. However, we find that the sky position and luminosity distance for these sources are not influenced by the inclusion of spin; therefore, if LIGO detects a low-spin population of BNS sources, less computationally expensive results calculated neglecting spin will be sufficient for guiding electromagnetic follow-up.
Kowalsky, Michael; Finsterle, Stefan; Rubin, Yoram
2003-05-12
Methods for determining the parameters necessary for modeling fluid flow and contaminant transport in the shallow subsurface are in great demand. Soil properties such as permeability, porosity, and water retention are typically estimated through the inversion of hydrological data (e.g., measurements of capillary pressure and water saturation). However, ill-posedness and non-uniqueness commonly arise in such inverse problems making their solutions elusive. Incorporating additional types of data, such as from geophysical methods, may greatly improve the success of inverse modeling. In particular, ground-penetrating radar (GPR) has proven sensitive to subsurface fluid flow processes. In the present work, an inverse technique is presented in which permeability distributions are generated conditional to time-lapsed GPR measurements and hydrological data collected during a transient flow experiment. Specifically, a modified pilot point framework has been implemented in iTOUGH2 allowing for the generation of permeability distributions that preserve point measurements and spatial correlation patterns while reproducing geophysical and hydrological measurements. Through a numerical example, we examine the performance of this method and the benefit of including synthetic GPR data while inverting for fluid flow parameters in the vadose zone. Our hypothesis is that within the inversion framework that we describe, our ability to predict flow across control planes greatly improves with the use of both transient hydrological measurements and geophysical measurements (GPR-derived estimates of water saturation, in particular).
Inverse Modeling of Hydrologic Parameters Using Surface Flux...
Office of Scientific and Technical Information (OSTI)
estimated include surface and subsurface runoff generation parameters and vadose zone soil water parameters. We find that using model parameters calibrated by the least-square...
Gonzales, Sergio Eduardo
2013-07-23
performance in hydraulic fractured wells in real time by the aid of fiber optic. However, no applications have yet been attempted to describe or estimate the fracture parameters using distributed temperature sensing as the observation parameter. The Ensemble...
Radiatively Important Parameters Best Estimate (RIPBE): An ARM Value-Added Product
McFarlane, S; Shippert, T; Mather, J
2011-06-30
The Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to create a complete set of clearly identified set of parameters on a uniform vertical and temporal grid to use as input to a radiative transfer model. One of the main drivers for RIPBE was as input to the Broadband Heating Rate Profile (BBHRP) VAP, but we also envision using RIPBE files for user-run radiative transfer codes, as part of cloud/aerosol retrieval testbeds, and as input to averaged datastreams for model evaluation.
Estimating stellar atmospheric parameters based on LASSO and support-vector regression
Lu, Yu
2015-01-01
A scheme for estimating atmospheric parameters T$_{eff}$, log$~g$, and [Fe/H] is proposed on the basis of Least Absolute Shrinkage and Selection Operator (LASSO) algorithm and Haar wavelet. The proposed scheme consists of three processes. A spectrum is decomposed using the Haar wavelet transform and low-frequency components at the fourth level are considered as candidate features. Then, spectral features from the candidate features are detected using the LASSO algorithm to estimate the atmospheric parameters. Finally, atmospheric parameters are estimated from the extracted spectral features using the support-vector regression (SVR) method. The proposed scheme was evaluated using three sets of stellar spectra respectively from Sloan Digital Sky Survey (SDSS), Large Sky Area Multi-object Fiber Spectroscopic Telescope (LAMOST), and Kurucz's model, respectively. The mean absolute errors are as follows: for 40~000 SDSS spectra, 0.0062 dex for log~T$_{eff}$ (85.83 K for T$_{eff}$), 0.2035 dex for log$~g$ and 0.1512...
NREL Estimates Economically Viable U.S. Renewable Generation...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Generation November 19, 2015 Analysts at the Energy Department's National Renewable Energy Laboratory (NREL) are providing, for the first time, a method for measuring the...
Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants
Reports and Publications (EIA)
2013-01-01
The current and future projected cost and performance characteristics of new electric generating capacity are a critical input into the development of energy projections and analyses.
Estimating Parameters of Delaminations in GRP Pipes Using Thermal NDE and ANN
Vijayaraghavan, G. K.; Ramachandran, K. P.; Muruganandam, A.; Govindarajan, L. [Caledonian College of Engineering, P.O. Box: 2322, PC-111 (Oman); Majumder, M. C. [National Institute of Technology, Durgapur, 713 209 (India)
2010-10-26
Thermographic Non-Destructive Evaluation (TNDE) is one of the techniques that have been widely used over the decades to evaluate the integrity of structures. To meet the increased demand for robust and effective inspection in complex TNDE tasks, Artificial Neural Networks (ANNs) have been recently deployed in many problems. The aim of the paper is to adopt an inverse technique using ANNs in the field of TNDE to estimate various parameters of delamination in Glass Reinforced Polymer (GRP) pipes by supplying thermal contrast evolution data as input. A Radial Basis Network (RBN) is employed with 80 input and 3 output neurons. The estimation capability of the network was evaluated with the data obtained from numerical simulations. The overall absolute errors show that the estimation capability of ANN is good.
Subramanian, Venkat
Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using First parameters of lithium-ion batteries are estimated using a first-principles electrochemical engineering model and understanding of lithium-ion batteries using physics-based first-principles models. These models are based
Chen, Jinsong
Joint inversion of 2D or 3D seismic and EM data for reservoir parameter estimation is computationallyEstimating reservoir parameters from seismic and electromagnetic data using stochastic rock, and pore pressure in reservoirs using seismic and electromagnetic (EM) data. Within the Bayesian framework
Estimation of Volatility The values of the parameters r, t, St, T, and K used to price a call op-
Privault, Nicolas
sweet crude oil futures traded on the New York Mercantile Exchange (NYMEX), based on contract specificaChapter 7 Estimation of Volatility The values of the parameters r, t, St, T, and K used to price in the stock price model dSt St = µdt + dBt. A natural estimator for the trend parameter µ can be written as ^µ
Effect of squeezing on parameter estimation of gravitational waves emitted by compact binary systems
Ryan Lynch; Salvatore Vitale; Lisa Barsotti; Matthew Evans; Sheila Dwyer
2014-11-06
The LIGO gravitational wave (GW) detectors will begin collecting data in 2015, with Virgo following shortly after. The use of squeezing has been proposed as a way to reduce the quantum noise without increasing the laser power, and has been successfully tested at one of the LIGO sites and at GEO in Germany. When used in Advanced LIGO without a filter cavity, the squeezer improves the performances of detectors above about 100 Hz, at the cost of a higher noise floor in the low frequency regime. Frequency-dependent squeezing, on the other hand, will lower the noise floor throughout the entire band. Squeezing technology will have a twofold impact: it will change the number of expected detections and it will impact the quality of parameter estimation for the detected signals. In this work we consider three different GW detector networks, each utilizing a different type of squeezer, all corresponding to plausible implementations. Using LALInference, a powerful Monte Carlo parameter estimation algorithm, we study how each of these networks estimates the parameters of GW signals emitted by compact binary systems, and compare the results with a baseline advanced LIGO-Virgo network. We find that, even in its simplest implementation, squeezing has a large positive impact: the sky error area of detected signals will shrink by about 30% on average, increasing the chances of finding an electromagnetic counterpart to the GW detection. Similarly, we find that the measurability of tidal deformability parameters for neutron stars in binaries increases by about 30%, which could aid in determining the equation of state of neutron stars. The degradation in the measurement of the chirp mass, as a result of the higher low-frequency noise, is shown to be negligible when compared to systematic errors.
Quantum estimation of the Schwarzschild space-time parameters of the Earth
David Edward Bruschi; Animesh Datta; Rupert Ursin; Timothy C. Ralph; Ivette Fuentes
2014-08-31
We propose a quantum experiment to measure with high precision the Schwarzschild space-time parameters of the Earth. The scheme can also be applied to measure distances by taking into account the curvature of the Earth's space-time. As a wave-packet of (entangled) light is sent from the Earth to a satellite it is red-shifted and deformed due to the curvature of space-time. Measurements after the propagation enable the estimation of the space-time parameters. We compare our results with the state of the art, which involves classical measurement methods, and discuss what developments are required in space-based quantum experiments to improve on the current measurement of the Schwarzschild radius of the Earth.
ESTIMATING THE PROPERTIES OF HARD X-RAY SOLAR FLARES BY CONSTRAINING MODEL PARAMETERS
Ireland, J. [ADNET Systems, Inc. at NASA Goddard Space Flight Center, Greenbelt, MD 20771 (United States); Tolbert, A. K.; Schwartz, R. A. [Catholic University of America at NASA Goddard Space Flight Center, Greenbelt, MD 20771 (United States); Holman, G. D.; Dennis, B. R. [NASA Goddard Space Flight Center, Code 671, Greenbelt, MD 20771 (United States)
2013-06-01
We wish to better constrain the properties of solar flares by exploring how parameterized models of solar flares interact with uncertainty estimation methods. We compare four different methods of calculating uncertainty estimates in fitting parameterized models to Ramaty High Energy Solar Spectroscopic Imager X-ray spectra, considering only statistical sources of error. Three of the four methods are based on estimating the scale-size of the minimum in a hypersurface formed by the weighted sum of the squares of the differences between the model fit and the data as a function of the fit parameters, and are implemented as commonly practiced. The fourth method is also based on the difference between the data and the model, but instead uses Bayesian data analysis and Markov chain Monte Carlo (MCMC) techniques to calculate an uncertainty estimate. Two flare spectra are modeled: one from the Geostationary Operational Environmental Satellite X1.3 class flare of 2005 January 19, and the other from the X4.8 flare of 2002 July 23. We find that the four methods give approximately the same uncertainty estimates for the 2005 January 19 spectral fit parameters, but lead to very different uncertainty estimates for the 2002 July 23 spectral fit. This is because each method implements different analyses of the hypersurface, yielding method-dependent results that can differ greatly depending on the shape of the hypersurface. The hypersurface arising from the 2005 January 19 analysis is consistent with a normal distribution; therefore, the assumptions behind the three non-Bayesian uncertainty estimation methods are satisfied and similar estimates are found. The 2002 July 23 analysis shows that the hypersurface is not consistent with a normal distribution, indicating that the assumptions behind the three non-Bayesian uncertainty estimation methods are not satisfied, leading to differing estimates of the uncertainty. We find that the shape of the hypersurface is crucial in understanding the output from each uncertainty estimation technique, and that a crucial factor determining the shape of hypersurface is the location of the low-energy cutoff relative to energies where the thermal emission dominates. The Bayesian/MCMC approach also allows us to provide detailed information on probable values of the low-energy cutoff, E{sub c} , a crucial parameter in defining the energy content of the flare-accelerated electrons. We show that for the 2002 July 23 flare data, there is a 95% probability that E{sub c} lies below approximately 40 keV, and a 68% probability that it lies in the range 7-36 keV. Further, the low-energy cutoff is more likely to be in the range 25-35 keV than in any other 10 keV wide energy range. The low-energy cutoff for the 2005 January 19 flare is more tightly constrained to 107 {+-} 4 keV with 68% probability. Using the Bayesian/MCMC approach, we also estimate for the first time probability density functions for the total number of flare-accelerated electrons and the energy they carry for each flare studied. For the 2002 July 23 event, these probability density functions are asymmetric with long tails orders of magnitude higher than the most probable value, caused by the poorly constrained value of the low-energy cutoff. The most probable electron power is estimated at 10{sup 28.1} erg s{sup -1}, with a 68% credible interval estimated at 10{sup 28.1}-10{sup 29.0} erg s{sup -1}, and a 95% credible interval estimated at 10{sup 28.0}-10{sup 30.2} erg s{sup -1}. For the 2005 January 19 flare spectrum, the probability density functions for the total number of flare-accelerated electrons and their energy are much more symmetric and narrow: the most probable electron power is estimated at 10{sup 27.66{+-}0.01} erg s{sup -1} (68% credible intervals). However, in this case the uncertainty due to systematic sources of error is estimated to dominate the uncertainty due to statistical sources of error.
Araujo, Marcelo Guimaraes; Magrini, Alessandra; Mahler, Claudio Fernando; Bilitewski, Bernd
2012-02-15
Highlights: Black-Right-Pointing-Pointer Literature of WEEE generation in developing countries is reviewed. Black-Right-Pointing-Pointer We analyse existing estimates of WEEE generation for Brazil. Black-Right-Pointing-Pointer We present a model for WEEE generation estimate. Black-Right-Pointing-Pointer WEEE generation of 3.77 kg/capita year for 2008 is estimated. Black-Right-Pointing-Pointer Use of constant lifetime should be avoided for non-mature market products. - Abstract: Sales of electrical and electronic equipment are increasing dramatically in developing countries. Usually, there are no reliable data about quantities of the waste generated. A new law for solid waste management was enacted in Brazil in 2010, and the infrastructure to treat this waste must be planned, considering the volumes of the different types of electrical and electronic equipment generated. This paper reviews the literature regarding estimation of waste electrical and electronic equipment (WEEE), focusing on developing countries, particularly in Latin America. It briefly describes the current WEEE system in Brazil and presents an updated estimate of generation of WEEE. Considering the limited available data in Brazil, a model for WEEE generation estimation is proposed in which different methods are used for mature and non-mature market products. The results showed that the most important variable is the equipment lifetime, which requires a thorough understanding of consumer behavior to estimate. Since Brazil is a rapidly expanding market, the 'boom' in waste generation is still to come. In the near future, better data will provide more reliable estimation of waste generation and a clearer interpretation of the lifetime variable throughout the years.
{\\sc CosmoNet}: fast cosmological parameter estimation in non-flat models using neural networks
T. Auld; M. Bridges; M. P. Hobson
2007-03-16
We present a further development of a method for accelerating the calculation of CMB power spectra, matter power spectra and likelihood functions for use in cosmological Bayesian inference. The algorithm, called {\\sc CosmoNet}, is based on training a multilayer perceptron neural network. We compute CMB power spectra (up to $\\ell=2000$) and matter transfer functions over a hypercube in parameter space encompassing the $4\\sigma$ confidence region of a selection of CMB (WMAP + high resolution experiments) and large scale structure surveys (2dF and SDSS). We work in the framework of a generic 7 parameter non-flat cosmology. Additionally we use {\\sc CosmoNet} to compute the WMAP 3-year, 2dF and SDSS likelihoods over the same region. We find that the average error in the power spectra is typically well below cosmic variance for spectra, and experimental likelihoods calculated to within a fraction of a log unit. We demonstrate that marginalised posteriors generated with {\\sc CosmoNet} spectra agree to within a few percent of those generated by {\\sc CAMB} parallelised over 4 CPUs, but are obtained 2-3 times faster on just a \\emph{single} processor. Furthermore posteriors generated directly via {\\sc CosmoNet} likelihoods can be obtained in less than 30 minutes on a single processor, corresponding to a speed up of a factor of $\\sim 32$. We also demonstrate the capabilities of {\\sc CosmoNet} by extending the CMB power spectra and matter transfer function training to a more generic 10 parameter cosmological model, including tensor modes, a varying equation of state of dark energy and massive neutrinos. {\\sc CosmoNet} and interfaces to both {\\sc CosmoMC} and {\\sc Bayesys} are publically available at {\\tt www.mrao.cam.ac.uk/software/cosmonet}.
Available Alarms in CDE for Next-Day Generation Estimates - March...
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Heath, G.
2012-06-01
This powerpoint presentation to be presented at the World Renewable Energy Forum on May 14, 2012, in Denver, CO, discusses systematic review and harmonization of life cycle GHG emission estimates for electricity generation technologies.
Thermal hydraulic simulations, error estimation and parameter sensitivity studies in Drekar::CFD
Smith, Thomas Michael; Shadid, John N.; Pawlowski, Roger P.; Cyr, Eric C.; Wildey, Timothy Michael
2014-01-01
This report describes work directed towards completion of the Thermal Hydraulics Methods (THM) CFD Level 3 Milestone THM.CFD.P7.05 for the Consortium for Advanced Simulation of Light Water Reactors (CASL) Nuclear Hub effort. The focus of this milestone was to demonstrate the thermal hydraulics and adjoint based error estimation and parameter sensitivity capabilities in the CFD code called Drekar::CFD. This milestone builds upon the capabilities demonstrated in three earlier milestones; THM.CFD.P4.02 [12], completed March, 31, 2012, THM.CFD.P5.01 [15] completed June 30, 2012 and THM.CFD.P5.01 [11] completed on October 31, 2012.
The impact of spurious shear on cosmological parameter estimates from weak lensing observables
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Petri, Andrea [Brookhaven National Laboratory (BNL), Upton, NY (United States); Columbia Univ., New York, NY (United States); May, Morgan [Brookhaven National Laboratory (BNL), Upton, NY (United States); Haiman, Zoltan [Columbia Univ., New York, NY (United States); Kratochvil, Jan M. [Univ. of KwaZulu-Natal, Durban (South Africa)
2014-12-01
Residual errors in shear measurements, after corrections for instrument systematics and atmospheric effects, can impact cosmological parameters derived from weak lensing observations. Here we combine convergence maps from our suite of ray-tracing simulations with random realizations of spurious shear. This allows us to quantify the errors and biases of the triplet (?m,w,?8) derived from the power spectrum (PS), as well as from three different sets of non-Gaussian statistics of the lensing convergence field: Minkowski functionals (MFs), low-order moments (LMs), and peak counts (PKs). Our main results are as follows: (i) We find an order of magnitude smaller biases from the PS than in previous work. (ii) The PS and LM yield biases much smaller than the morphological statistics (MF, PK). (iii) For strictly Gaussian spurious shear with integrated amplitude as low as its current estimate of ?sys2?10-7, biases from the PS and LM would be unimportant even for a survey with the statistical power of Large Synoptic Survey Telescope. However, we find that for surveys larger than ?100 deg2, non-Gaussianity in the noise (not included in our analysis) will likely be important and must be quantified to assess the biases. (iv) The morphological statistics (MF, PK) introduce important biases even for Gaussian noise, which must be corrected in large surveys. The biases are in different directions in (?m,w,?8) parameter space, allowing self-calibration by combining multiple statistics. Our results warrant follow-up studies with more extensive lensing simulations and more accurate spurious shear estimates.
Impact of spurious shear on cosmological parameter estimates from weak lensing observables
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Petri, Andrea; May, Morgan; Haiman, Zoltán; Kratochvil, Jan M.
2014-12-30
We research, residual errors in shear measurements, after corrections for instrument systematics and atmospheric effects, can impact cosmological parameters derived from weak lensing observations. Here we combine convergence maps from our suite of ray-tracing simulations with random realizations of spurious shear. This allows us to quantify the errors and biases of the triplet (?m,w,?8) derived from the power spectrum (PS), as well as from three different sets of non-Gaussian statistics of the lensing convergence field: Minkowski functionals (MFs), low-order moments (LMs), and peak counts (PKs). Our main results are as follows: (i) We find an order of magnitude smaller biasesmore »from the PS than in previous work. (ii) The PS and LM yield biases much smaller than the morphological statistics (MF, PK). (iii) For strictly Gaussian spurious shear with integrated amplitude as low as its current estimate of ?sys2 ? 10-7, biases from the PS and LM would be unimportant even for a survey with the statistical power of Large Synoptic Survey Telescope. However, we find that for surveys larger than ? 100 deg2, non-Gaussianity in the noise (not included in our analysis) will likely be important and must be quantified to assess the biases. (iv) The morphological statistics (MF, PK) introduce important biases even for Gaussian noise, which must be corrected in large surveys. The biases are in different directions in (?m,w,?8) parameter space, allowing self-calibration by combining multiple statistics. Our results warrant follow-up studies with more extensive lensing simulations and more accurate spurious shear estimates.« less
Impact of spurious shear on cosmological parameter estimates from weak lensing observables
Petri, Andrea; May, Morgan; Haiman, Zoltán; Kratochvil, Jan M.
2014-12-30
We research, residual errors in shear measurements, after corrections for instrument systematics and atmospheric effects, can impact cosmological parameters derived from weak lensing observations. Here we combine convergence maps from our suite of ray-tracing simulations with random realizations of spurious shear. This allows us to quantify the errors and biases of the triplet (?_{m},w,?_{8}) derived from the power spectrum (PS), as well as from three different sets of non-Gaussian statistics of the lensing convergence field: Minkowski functionals (MFs), low-order moments (LMs), and peak counts (PKs). Our main results are as follows: (i) We find an order of magnitude smaller biases from the PS than in previous work. (ii) The PS and LM yield biases much smaller than the morphological statistics (MF, PK). (iii) For strictly Gaussian spurious shear with integrated amplitude as low as its current estimate of ?_{sys}^{2} ? 10^{-7}, biases from the PS and LM would be unimportant even for a survey with the statistical power of Large Synoptic Survey Telescope. However, we find that for surveys larger than ? 100 deg^{2}, non-Gaussianity in the noise (not included in our analysis) will likely be important and must be quantified to assess the biases. (iv) The morphological statistics (MF, PK) introduce important biases even for Gaussian noise, which must be corrected in large surveys. The biases are in different directions in (?m,w,?8) parameter space, allowing self-calibration by combining multiple statistics. Our results warrant follow-up studies with more extensive lensing simulations and more accurate spurious shear estimates.
Chen, Jinsong
seismic AVA and CSEM data Jinsong Chen*, Lawrence Berkeley National Laboratory, and Thomas Dickens, ExxonMobil models on estimates of reservoir parameters from joint inversion of seismic AVA and CSEM data. The reser and CSEM data. In practice, model parameters are often derived from nearby well logs. First, an appropriate
Feeny, Brian
., East Lansing, MI 48824, USA. feeny@egr.msu.edu ABSTRACT This study makes use of an energy balance1- Jin-Wei Liang and B. F. Feeny, April 2005 TITLE: BALANCING ENERGY TO ESTIMATE DAMPING PARAMETERS to identify damping parameters in mechanical vibration systems. By balancing the energy input as registered
Thorsten Stahn; Laurent Gizon
2008-03-14
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.
Christopher P. L. Berry; Ilya Mandel; Hannah Middleton; Leo P. Singer; Alex L. Urban; Alberto Vecchio; Salvatore Vitale; Kipp Cannon; Ben Farr; Will M. Farr; Philip B. Graff; Chad Hanna; Carl-Johan Haster; Satya Mohapatra; Chris Pankow; Larry R. Price; Trevor Sidery; John Veitch
2015-05-12
Advanced ground-based gravitational-wave (GW) detectors begin operation imminently. Their intended goal is not only to make the first direct detection of GWs, but also to make inferences about the source systems. Binary neutron-star mergers are among the most promising sources. We investigate the performance of the parameter-estimation \\edit{(PE)} pipeline that will be used during the first observing run of the Advanced Laser Interferometer Gravitational-wave Observatory (aLIGO) in 2015: we concentrate on the ability to reconstruct the source location on the sky, but also consider the ability to measure masses and the distance. Accurate, rapid sky-localization is necessary to alert electromagnetic (EM) observatories so that they can perform follow-up searches for counterpart transient events. We consider PE accuracy in the presence of \\edit{non-stationary}, non-Gaussian noise. We find that the character of the noise makes negligible difference to the PE performance \\edit{at a given signal-to-noise ratio}. The source luminosity distance can only be poorly constrained, the median $90\\%$ ($50\\%$) credible interval scaled with respect to the true distance is $0.85$ ($0.38$). However, the chirp mass is well measured. Our chirp-mass estimates are subject to systematic error because we used gravitational-waveform templates without component spin to carry out inference on signals with moderate spins, but the total error is typically less than $10^{-3} M_\\odot$. The median $90\\%$ ($50\\%$) credible region for sky localization is $\\sim600~\\mathrm{deg^{2}}$ ($\\sim150~\\mathrm{deg^{2}}$), with $3\\%$ ($30\\%$) of detected events localized within $100~\\mathrm{deg^{2}}$. Early aLIGO, with only two detectors, will have a sky-localization accuracy for binary neutron stars of hundreds of square degrees; this makes EM follow-up challenging, but not impossible.
How serious can the stealth bias be in gravitational wave parameter estimation?
Salvatore Vitale; Walter Del Pozzo
2013-11-08
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.
Parameter estimation on gravitational waves from neutron-star binaries with spinning components
Farr, Ben; Farr, Will M; Haster, Carl-Johan; Middleton, Hannah; Cannon, Kipp; Graff, Philip B; Hanna, Chad; Mandel, Ilya; Pankow, Chris; Price, Larry R; Sidery, Trevor; Singer, Leo P; Urban, Alex L; Vecchio, Alberto; Veitch, John; Vitale, Salvatore
2015-01-01
Inspiraling binary neutron stars are expected to be one of the most significant sources of gravitational-wave signals for the new generation of advanced ground-based detectors. Advanced LIGO will begin operation in 2015 and we investigate how well we could hope to measure properties of these binaries should a detection be made in the first observing period. We study an astrophysically motivated population of sources (binary components with masses $1.2~\\mathrm{M}_\\odot$-$1.6~\\mathrm{M}_\\odot$ and spins of less than $0.05$) using the full LIGO analysis pipeline. While this simulated population covers the observed range of potential binary neutron-star sources, we do not exclude the possibility of sources with parameters outside these ranges; given the existing uncertainty in distributions of mass and spin, it is critical that analyses account for the full range of possible mass and spin configurations. We find that conservative prior assumptions on neutron-star mass and spin lead to average fractional uncertain...
Parameter Estimation of Dynamic Air-conditioning Component Models Using Limited Sensor Data
Hariharan, Natarajkumar
2011-08-08
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 ...
Discretization error estimation and exact solution generation using the method of nearby problems.
Sinclair, Andrew J.; Raju, Anil; Kurzen, Matthew J.; Roy, Christopher John; Phillips, Tyrone S.
2011-10-01
The Method of Nearby Problems (MNP), a form of defect correction, is examined as a method for generating exact solutions to partial differential equations and as a discretization error estimator. For generating exact solutions, four-dimensional spline fitting procedures were developed and implemented into a MATLAB code for generating spline fits on structured domains with arbitrary levels of continuity between spline zones. For discretization error estimation, MNP/defect correction only requires a single additional numerical solution on the same grid (as compared to Richardson extrapolation which requires additional numerical solutions on systematically-refined grids). When used for error estimation, it was found that continuity between spline zones was not required. A number of cases were examined including 1D and 2D Burgers equation, the 2D compressible Euler equations, and the 2D incompressible Navier-Stokes equations. The discretization error estimation results compared favorably to Richardson extrapolation and had the advantage of only requiring a single grid to be generated.
ESTIMATION OF OUTLET MASS FLOW FOR A MONO-TUBE CAVITY RECEIVER FOR DIRECT STEAM GENERATION
arrays of parabolic dishes, where each collector contributes steam to a central steam-turbine power blockESTIMATION OF OUTLET MASS FLOW FOR A MONO-TUBE CAVITY RECEIVER FOR DIRECT STEAM GENERATION José This paper presents recent developments on a dynamic model for a mono-tube cavity receiver for direct steam
Boe, Timothy [Oak Ridge Institute for Science and Education, Research Triangle Park, NC 27711 (United States)] [Oak Ridge Institute for Science and Education, Research Triangle Park, NC 27711 (United States); Lemieux, Paul [U.S. Environmental Protection Agency, Research Triangle Park, NC 27711 (United States)] [U.S. Environmental Protection Agency, Research Triangle Park, NC 27711 (United States); Schultheisz, Daniel; Peake, Tom [U.S. Environmental Protection Agency, Washington, DC 20460 (United States)] [U.S. Environmental Protection Agency, Washington, DC 20460 (United States); Hayes, Colin [Eastern Research Group, Inc, Morrisville, NC 26560 (United States)] [Eastern Research Group, Inc, Morrisville, NC 26560 (United States)
2013-07-01
Management of debris and waste from a wide-area radiological incident would probably constitute a significant percentage of the total remediation cost and effort. The U.S. Environmental Protection Agency's (EPA's) Waste Estimation Support Tool (WEST) is a unique planning tool for estimating the potential volume and radioactivity levels of waste generated by a radiological incident and subsequent decontamination efforts. The WEST was developed to support planners and decision makers by generating a first-order estimate of the quantity and characteristics of waste resulting from a radiological incident. The tool then allows the user to evaluate the impact of various decontamination/demolition strategies on the waste types and volumes generated. WEST consists of a suite of standalone applications and Esri{sup R} ArcGIS{sup R} scripts for rapidly estimating waste inventories and levels of radioactivity generated from a radiological contamination incident as a function of user-defined decontamination and demolition approaches. WEST accepts Geographic Information System (GIS) shape-files defining contaminated areas and extent of contamination. Building stock information, including square footage, building counts, and building composition estimates are then generated using the Federal Emergency Management Agency's (FEMA's) Hazus{sup R}-MH software. WEST then identifies outdoor surfaces based on the application of pattern recognition to overhead aerial imagery. The results from the GIS calculations are then fed into a Microsoft Excel{sup R} 2007 spreadsheet with a custom graphical user interface where the user can examine the impact of various decontamination/demolition scenarios on the quantity, characteristics, and residual radioactivity of the resulting waste streams. (authors)
International Statistical Conference, Hawaii, June 5-9, 2003 On Parameters Repeated Estimation Paper presented at International Conference in Statistics, Hawaii, June 4-9, 2003 2 Visiting Professor and Mathematical Sciences, UWS, Australia 1 #12;International Statistical Conference, Hawaii, June 5-9, 2003
Povinelli, Richard J.
Condition Monitoring of Squirrel-Cage Induction Motors Fed by PWM -based Drives Using a Parameter estimation approach. In this technique, the stator currents, voltages and motor speed are used as the input. This approach is verified by simulation of two different induction motor cases. These simulations are buttressed
be heated in a pressure vessel or oil bath, and some temperature-measuring device (e.g., a thermocouple, there is no standard method to estimate kinetic parameters in low-moisture, conduction-heated foods subject and maintain pressure. As temperatures and pressure increase, measuring sample temperature may become
Feder, Meir
232 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 41. NO. I , JANUARY 1993 Parameter Estimation as an autoregressive (AR) process. The suggested al- gorithms can also be used for other harmonic signals. Experi the deviation from strict periodicity. The wide- band signal is modeled as a Gaussian random process
Francos, Joseph M.
IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 47, NO. 7, JULY 1999 1795 Parameter Estimation of 2-D Abstract--Phase information has fundamental importance in many two-dimensional (2-D) signal processing one- and two-dimensional (1-D and 2-D) signal process- ing problems. When dealing with 2-D signals
E. A. Gurnevich; P. V. Molchanov
2014-07-31
The behavior of the generation efficiency and radiation spectrum of a three-cavity axial vircator versus the radius of the injected electron beam, its impedance and energy homogeneity is studied. This paper establishes that for each geometry of a three-cavity resonator, there exist the optimal (maximizing the generation efficiency) values of these parameters and determines the range within which they may vary without losing the efficiency of generation.
Dual attitude and parameter estimation of passively magnetically stabilized nano satellites$
panels. By using the existing solar panels, no additional components are being added to the spacecraft, and no additional mass, volume or power budget is being used. From differential solar panel currents, an estimate of the magnetic materials using only a measurement of the solar vector. The estimation technique is applied
Wound Wire Solenoid Permanent Magnet Direction of Rod Motion TerfenolD Rod Compression Bolt Mass Figure to #12;elds generated by the surrounding solenoid. As detailed in [1, 2], such actuators have the capability of generating broadband, high force, responses. However, they also exhibit varying degrees
Mukhopadhyay, S.
2009-01-01
the Drift Scale Test at Yucca Mountain Figure 1a. Figure 1b.Drift Scale Test at Yucca Mountain, Nevada, J. of Contam.gas into a tunnel at Yucca Mountain – Estimating large-scale
Word, Daniel Paul
2013-07-09
The development of infectious disease models remains important to provide scientists with tools to better understand disease dynamics and develop more effective control strategies. In this work we focus on the estimation of seasonally varying...
Estimation of fracture flow parameters through numerical analysis of hydromechanical pressure pulses
Cappa, F.
2009-01-01
of each hydraulic parameter, as well as the importance ofmagnitude was well captured with a hydraulic aperture of 5 ×time-lag was well matched with a smaller hydraulic aperture
Error Estimation and Parameter Dependence of the Calculation of the Fast Ion Distribution Function, Temperature and Density using Data from the KF1 High Energy NPA on JET
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Burr, Tom; Hamada, Michael S.; Howell, John; Skurikhin, Misha; Ticknor, Larry; Weaver, Brian
2013-01-01
Process monitoring (PM) for nuclear safeguards sometimes requires estimation of thresholds corresponding to small false alarm rates. Threshold estimation dates to the 1920s with the Shewhart control chart; however, because possible new roles for PM are being evaluated in nuclear safeguards, it is timely to consider modern model selection options in the context of threshold estimation. One of the possible new PM roles involves PM residuals, where a residual is defined as residual = data ? prediction. This paper reviews alarm threshold estimation, introduces model selection options, and considers a range of assumptions regarding the data-generating mechanism for PM residuals.more »Two PM examples from nuclear safeguards are included to motivate the need for alarm threshold estimation. The first example involves mixtures of probability distributions that arise in solution monitoring, which is a common type of PM. The second example involves periodic partial cleanout of in-process inventory, leading to challenging structure in the time series of PM residuals.« less
Adjustment factors and genetic parameter estimates for yearling pelvic area in Limousin cattle
Cowley, Joel Douglas
1995-01-01
Data on 2,704 bulls and 11,049 heifers provided by the North American Limousin Foundation were analyzed separately to determine age and age of dam adjustment factors for yearling pelvic area and to estimate heritabilities and genetic correlations...
Paris-Sud XI, Université de
to biomedical signals are rep- resented by a sum of exponentials. The problem is specially interesting since frequency estimation is fundamental in sig- nal processing. In addition, this kind of signal is transient due to the damping factor, what makes the problem challenging. Usually, these signals are represented
Wang, Yan; Mohanty, Soumya D.; Jenet, Fredrick A. [Department of Physics and Astronomy, University of Texas at Brownsville, 1 West University Boulevard, Brownsville, TX 78520 (United States)
2014-11-01
The use of a high precision pulsar timing array is a promising approach to detecting gravitational waves in the very low frequency regime (10{sup –6}-10{sup –9} Hz) that is complementary to ground-based efforts (e.g., LIGO, Virgo) at high frequencies (?10-10{sup 3} Hz) and space-based ones (e.g., LISA) at low frequencies (10{sup –4}-10{sup –1} Hz). One of the target sources for pulsar timing arrays is individual supermassive black hole binaries which are expected to form in galactic mergers. In this paper, a likelihood-based method for detection and parameter estimation is presented for a monochromatic continuous gravitational wave signal emitted by such a source. The so-called pulsar terms in the signal that arise due to the breakdown of the long-wavelength approximation are explicitly taken into account in this method. In addition, the method accounts for equality and inequality constraints involved in the semi-analytical maximization of the likelihood over a subset of the parameters. The remaining parameters are maximized over numerically using Particle Swarm Optimization. Thus, the method presented here solves the monochromatic continuous wave detection and parameter estimation problem without invoking some of the approximations that have been used in earlier studies.
Parameter estimation in commodity markets: a filtering approach Robert J. Elliott
Hyndman, Cody
as crude oil) using futures price data. A one-factor model for the spot commodity price is used likelihood parameter estima- tion to models of commodity prices and futures prices has been considered to find the MLEs. Finite-dimensional filters are derived that allow the MLEs of a commodity price model
Venkatasubramanian, Mani V.
Abstract-- Estimating the dynamic state variables of a synchronous generator has been a long approximately the state variables of a synchronous generator, purely from terminal measurements measurements. Here, we deal with the problem of computing the dynamic internal state of a synchronous generator
Power plant capital investment cost estimates: current trends and sensitivity to economic parameters
Not Available
1980-06-01
This report describes power plant capital investment cost studies that were carried out as part of the activities of the Plans and Analysis Division, Office of Nuclear Energy Programs, US Department of Energy. The activities include investment cost studies prepared by an architect-engineer, including trends, effects of environmental and safety requirements, and construction schedules. A computer code used to prepare capital investment cost estimates under varying economic conditions is described, and application of this code is demonstrated by sensitivity studies.
Parameters of the prompt gamma-ray burst emission estimated with the opening angle of jets
B. -B. Zhang; Y. -P. Qin
2006-02-04
We present in this paper an approach to estimate the initial Lorentz factor of gamma-ray bursts (GRBs) without referring to the delayed emission of the early afterglow. Under the assumption that the afterglow of the bursts concerned occurs well before the prompt emission dies away, the Lorentz factor measured at the time when the duration of the prompt emission is ended could be estimated by applying the well-known relations of GRB jets. With the concept of the efficiency for converting the explosion energy to radiation, this Lorentz factor can be related to the initial Lorentz factor of the source. The corresponding rest frame peak energy can accordingly be calculated. Applying this method, we estimate the initial Lorentz factor of the bulk motion and the corresponding rest frame spectral peak energy of GRBs for a new sample where the redshift and the break time in the afterglow are known. Our analysis shows that, in the circumstances, the initial Lorentz factor of the sample would peak at 200 and would be distributed mainly within $(100,400)$, and the peak of the distribution of the corresponding rest frame peak energy would be $0.8keV$ and its main region would be $(0.3keV,3keV)$.
Matthew G. Walker; Mario Mateo; Edward W. Olszewski; Bodhisattva Sen; Michael Woodroofe
2008-11-12
(abridged) We develop an algorithm for estimating parameters of a distribution sampled with contamination, employing a statistical technique known as ``expectation maximization'' (EM). Given models for both member and contaminant populations, the EM algorithm iteratively evaluates the membership probability of each discrete data point, then uses those probabilities to update parameter estimates for member and contaminant distributions. The EM approach has wide applicability to the analysis of astronomical data. Here we tailor an EM algorithm to operate on spectroscopic samples obtained with the Michigan-MIKE Fiber System (MMFS) as part of our Magellan survey of stellar radial velocities in nearby dwarf spheroidal (dSph) galaxies. These samples are presented in a companion paper and contain discrete measurements of line-of-sight velocity, projected position, and Mg index for ~1000 - 2500 stars per dSph, including some fraction of contamination by foreground Milky Way stars. The EM algorithm quantifies both dSph and contaminant distributions, returning maximum-likelihood estimates of the means and variances, as well as the probability that each star is a dSph member. Applied to our MMFS data, the EM algorithm identifies more than 5000 probable dSph members. We test the performance of the EM algorithm on simulated data sets that represent a range of sample size, level of contamination, and amount of overlap between dSph and contaminant velocity distributions. The simulations establish that for samples ranging from large (N ~3000) to small (N~30), the EM algorithm distinguishes members from contaminants and returns accurate parameter estimates much more reliably than conventional methods of contaminant removal (e.g., sigma clipping).
Estimation of the parameters of the Weibull distribution from multi-censored samples
Sprinkle, Edgar Eugene
1969-01-01
. 879 5. 070 5. 070 4. 874 5. 058 4. 837 4. 928 5. 149 5. 337 Sample V Est. 1. 4028 1. 6565 4. 1842 1. 0227 0. 8863 2. 9873 1. 4240 1. 5055 2. 0744 1, 1111 1. 3230 0. 7377 1. 3101 1. 5246 1. 1796 0. 7784 V. 7741 1. 5486 0... and Estimators for the Weibull Distribution Re rint No. 1026, Statistical Laboratory, Case Western Reserve University, Cleveland, Ohio. 32 [14] LLOYD, D. K. and LIPLOW, M. , 1962. Reliabilit : Mana ament, Methods and Mathematics, Prentice-Hall, Inc...
A precise numerical estimation of the magnetic field generated around recombination
Fidler, Christian; Pitrou, Cyril
2015-01-01
We investigate the generation of magnetic fields from non-linear effects around recombination. As tight-coupling is gradually lost when approaching $z\\simeq 1100$, the velocity difference between photons and baryons starts to increase, leading to an increasing Compton drag of the photons on the electrons. The protons are then forced to follow the electrons due to the electric field created by the charge displacement; the same field, following Maxwell's laws, eventually induces a magnetic field on cosmological scales. Since scalar perturbations do not generate any magnetic field as they are curl-free, one has to resort to second-order perturbation theory to compute the magnetic field generated by this effect. We reinvestigate this problem numerically using the powerful second-order Boltzmann code SONG. We show that: i) all previous studies do not have a high enough angular resolution to reach a precise and consistent estimation of the magnetic field spectrum; ii) the magnetic field is generated up to $z\\simeq ...
Huang, Zhenyu; Du, Pengwei; Kosterev, Dmitry; Yang, Steve
2013-05-01
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.
Al-Nasir, Abdul Majid Hamza
1968-01-01
&t=l (2. 10) Here& the optimulc choice of Prs are to be determined. . Therefol e, cov[a , (a ? ?a, )] 0 imnlies j9 1 [ 22 3 22. o Butr 10 2a 2 12 11' 22 3 22 ] and. Thus 3 2 2o22 2n2 vCa. - a)] = ? (n +n)- 22 322 nr. 4 12 2 11 111 111 2... estimates. As an example: V(pl) = V(li~, ) + o&V(itu P ) + 2o cov F1' 1"1 2~a j 2Q [" + ? "]+ 2u a, (n +n2) 2c 111 1 2 nln2 1 set 0 implies n n1 ' 1 = nl+n2 Therefore: n 2 1 1 1 n +n 1~1 2~1) "1. '"2 (1. 4) Tn a similar fashion n 0 2 1 12 2 1...
Lo, Min-Hui; Famiglietti, James S; Yeh, P. J.-F.; Syed, T. H
2010-01-01
Calibration Using GRACE Data and Base Flow Estimates [ 17 ]ESTIMATION USING GRACE DATA base flow data. In this casemeasured GRACE data and estimated base flow simultaneously
HF beam parameters in ELF/VLF wave generation via modulated heating of the ionosphere
of spreading the HF power over a wider area, and we find that a larger beam area yields larger generated et al., 1982], and the observa- tory at Jicamarca, Peru [Lunnen et al., 1984], were both used
Hee-Suk Cho; Chang-Hwan Lee
2013-10-11
The effective Fisher matrix method recently introduced by Cho et al. is a semi-analytic approach to the Fisher matrix, in which a local overlap surface is fitted by using a quadratic fitting function. Mathematically, the effective Fisher matrix should be consistent with the analytic one at the infinitesimal fitting scale. In this work, using the frequency-domain waveform (TaylorF2), we give brief comparison results between the effective and analytic Fisher matrices for several non-spinning binaries consisting of binary neutron stars with masses of (1.4, 1.4)M_sun, black hole-neutron star of (1.4, 10)M_sun, and binary black holes of (5, 5) and (10, 10)M_sun for a fixed signal to noise ratio (SNR=20) and show a good consistency between two methods. We also give a comparison result for an aligned-spin black hole-neutron star binary with a black hole spin of \\chi=1, where we define new mass parameters (Mc, \\eta^-1, \\chi^7/2) to find good fitting functions to the overlap surface. The effective Fisher matrix can also be computed by using the time-domain waveforms which are generally more accurate than frequency-domain waveform. We show comparison results between the frequency-domain and time-domain waveforms (TaylorT4) for both the non-spinning aligned-spin binaries.
Wu, M.; Peng, J.
2011-02-24
Freshwater consumption for electricity generation is projected to increase dramatically in the next couple of decades in the United States. The increased demand is likely to further strain freshwater resources in regions where water has already become scarce. Meanwhile, the automotive industry has stepped up its research, development, and deployment efforts on electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs). Large-scale, escalated production of EVs and PHEVs nationwide would require increased electricity production, and so meeting the water demand becomes an even greater challenge. The goal of this study is to provide a baseline assessment of freshwater use in electricity generation in the United States and at the state level. Freshwater withdrawal and consumption requirements for power generated from fossil, nonfossil, and renewable sources via various technologies and by use of different cooling systems are examined. A data inventory has been developed that compiles data from government statistics, reports, and literature issued by major research institutes. A spreadsheet-based model has been developed to conduct the estimates by means of a transparent and interactive process. The model further allows us to project future water withdrawal and consumption in electricity production under the forecasted increases in demand. This tool is intended to provide decision makers with the means to make a quick comparison among various fuel, technology, and cooling system options. The model output can be used to address water resource sustainability when considering new projects or expansion of existing plants.
Estimating the Parameters of Sgr A*'s Accretion Flow Via Millimeter VLBI
Avery E. Broderick; Vincent L. Fish; Sheperd S. Doeleman; Abraham Loeb
2009-03-03
Recent millimeter-VLBI observations of Sagittarius A* (Sgr A*) have, for the first time, directly probed distances comparable to the horizon scale of a black hole. This provides unprecedented access to the environment immediately around the horizon of an accreting black hole. We leverage both existing spectral and polarization measurements and our present understanding of accretion theory to produce a suite of generic radiatively inefficient accretion flow (RIAF) models of Sgr A*, which we then fit to these recent millimeter-VLBI observations. We find that if the accretion flow onto Sgr A* is well described by a RIAF model, the orientation and magnitude of the black hole's spin is constrained to a two-dimensional surface in the spin, inclination, position angle parameter space. For each of these we find the likeliest values and their 1-sigma & 2-sigma errors to be a=0(+0.4+0.7), inclination=50(+10+30)(-10-10) degrees, and position angle=-20(+31+107)(-16-29) degrees, when the resulting probability distribution is marginalized over the others. The most probable combination is a=0(+0.2+0.4), inclination=90(-40-50) degrees and position angle=-14(+7+11)(-7-11) degrees, though the uncertainties on these are very strongly correlated, and high probability configurations exist for a variety of inclination angles above 30 degrees and spins below 0.99. Nevertheless, this demonstrates the ability millimeter-VLBI observations, even with only a few stations, to significantly constrain the properties of Sgr A*.
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
2015-02-16
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.
The effect of different eLISA-like configurations on massive black hole parameter estimation
Edward K. Porter
2015-05-29
As the theme for the future L3 Cosmic Vision mission, ESA has recently chosen the `Gravitational Wave Universe'. Within this call, a mission concept called eLISA has been proposed. This observatory has a current initial configuration consisting of 4 laser links between the three satellites, which are separated by a distance of one million kilometers, constructing a single channel Michelson interferometer. However, the final configuration for the observatory will not be fixed until the end of this decade. With this in mind, we investigate the effect of different eLISA-like configurations on massive black hole detections. This work compares the results of a Bayesian inference study of 120 massive black hole binaries out to a redshift of $z\\sim13$ for a $10^6$m arm-length eLISA with four and six links, as well as a $2\\times10^6$m arm-length observatory with four links. We demonstrate that the original eLISA configuration should allow us to recover the luminosity distance of the source with an error of less than 10% out to a redshift of $z\\sim4$, and a sky error box of $\\leq10^2\\,deg^2$ out to $z\\sim0.1$. In contrast, both alternative configurations suggest that we should be able to conduct the same parameter recovery with errors of less than 10% in luminosity distance out to $z\\sim12$ and $\\leq10^2\\,deg^2$ out to $z\\sim0.4$. Using the information from these studies, we also infer that if we were able to construct a 2Gm, 6-link detector, the above values would shift to $z\\sim20$ for luminosity distance and $z\\sim0.9$ for sky error. While the final configuration will also be dependent on both technological and financial considerations, our study suggests that increasing the size of a two arm detector is a viable alternative to the inclusion of a third arm in a smaller detector. More importantly, this work further suggests no clear scientific loss between either choice.
Chen, Jinsong
Integration of Marine CSEM and Seismic AVA Data for Reservoir Parameter Estimation G. Michael Reservoir fluid saturations and porosity are estimated using a two-stage process consisting of an uncoupled geophysical inversion of marine seismic amplitude versus angle (AVA) and controlled source electromagnetic
Chen, Jinsong
exploration more than a decade because it can capture the seismic wave-field more completely than conventionalStochastic inversion of seismic PP and PS data for reservoir parameter estimation Jinsong Chen a hierarchical Bayesian model to invert seismic PP and converted-wave (i.e., PS) data for reservoir parameters
Eldred, Michael Scott; Vigil, Dena M.; Dalbey, Keith R.; Bohnhoff, William J.; Adams, Brian M.; Swiler, Laura Painton; Lefantzi, Sophia; Hough, Patricia Diane; Eddy, John P.
2011-12-01
The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic expansion methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a theoretical manual for selected algorithms implemented within the DAKOTA software. It is not intended as a comprehensive theoretical treatment, since a number of existing texts cover general optimization theory, statistical analysis, and other introductory topics. Rather, this manual is intended to summarize a set of DAKOTA-related research publications in the areas of surrogate-based optimization, uncertainty quantification, and optimization under uncertainty that provide the foundation for many of DAKOTA's iterative analysis capabilities.
Adams, Brian M.; Ebeida, Mohamed Salah; Eldred, Michael S.; Jakeman, John Davis; Swiler, Laura Painton; Stephens, John Adam; Vigil, Dena M.; Wildey, Timothy Michael; Bohnhoff, William J.; Eddy, John P.; Hu, Kenneth T.; Dalbey, Keith R.; Bauman, Lara E; Hough, Patricia Diane
2014-05-01
The Dakota (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a exible and extensible interface between simulation codes and iterative analysis methods. Dakota contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quanti cation with sampling, reliability, and stochastic expansion methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the Dakota toolkit provides a exible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a user's manual for the Dakota software and provides capability overviews and procedures for software execution, as well as a variety of example studies.
Shao Tianjiao [State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023 (China); School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024 (China); Zhao Guangjiu; Yang Huan [State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023 (China); School of Physics, Shandong University, Jinan 250100 (China); Wen Bin [School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024 (China)
2010-12-15
In the present work, laser-parameter effects on the isolated attosecond pulse generation from two-color high-order harmonic generation (HHG) process are theoretically investigated by use of a wave-packet dynamics method. A 6-fs, 800-nm, 6x10{sup 14}W/cm{sup 2}, linearly polarized laser pulse serves as the fundamental driving pulse and parallel linearly polarized control pulses at 400 nm (second harmonic) and 1600 nm (half harmonic) are superimposed to create a two-color field. Of the two techniques, we demonstrate that using a half-harmonic control pulse with a large relative strength and zero phase shift relative to the fundamental pulse is a more promising way to generate the shortest attosecond pulses. As a consequence, an isolated 12-as pulse is obtained by Fourier transforming an ultrabroad xuv continuum of 300 eV in the HHG spectrum under half-harmonic control scheme when the relative strength {radical}(R)=0.6 and relative phase =0.
Lo, Min-Hui; Famiglietti, James S; Yeh, P. J.-F.; Syed, T. H
2010-01-01
model using GRACE water storage and estimated base flow data,model using GRACE water storage and estimated base flow datawith esti- mated base flow data in the model calibration.
Columbia University
Global MSW Generation in 2007 estimated at two billion tons Global Waste Management Market analyses the global waste market, with particular reference to municipal solid waste (MSW). Key Note. Industrial waste generally has a greater tonnage than MSW, but its management is the responsibility
Lo, Min-Hui; Famiglietti, James S; Yeh, P. J.-F.; Syed, T. H
2010-01-01
variations of river water storage from a multiple satellite2007), Estimating ground water storage changes in theAnalysis of terrestrial water storage changes from GRACE and
Hee-Suk Cho
2015-10-12
We study the validity of inspiral templates in gravitational wave data analysis with Advanced LIGO sensitivity for low mass binary black holes with total masses of $M \\leq 30 Msun$. We mainly focus on the nonspinning system. As our complete inspiral-merger-ringdown waveform model ($IMR$), we assume the phenomenological model, "PhenomA", and define our inspiral template model ($Imerg$) by taking the inspiral part into account from $IMR$ up to the merger frequency (fmerg). We first calculate the {\\it true} statistical uncertainties using $IMR$ signals and $IMR$ templates. Next, using $IMR$ signals and $Imerg$ templates, we calculate fitting factors and systematic biases, and compare the biases with the {\\it true} statistical uncertainties. We find that the valid criteria of the bank of $Imerg$ templates are obtained as $Mcrit \\sim 24 Msun$ for detection (if $M>Mcrit$, the fitting factor is smaller than $0.97$), and $Mcrit \\sim 26 Msun$ for parameter estimation (if $M>Mcrit$, the systematic bias is larger than the {\\it true} statistical uncertainty where the signal to noise ratio is $20$), respectively. In order to see the dependence on the cutoff frequency of the inspiral waveforms, we define another inspiral model $Iisco$ which is terminated at the innermost-stable-circular-orbit frequency ($fiscomodels considering various signal to noise ratios, and compare those to the {\\it true} statistical uncertainties. We also consider the aligned-spinning system with fixed mass ratio ($m_1/m_2=3$) and spin ($\\chi=0.5$) by employing the recent phenomenological model, "PhenomC".
Deng, Song Jiu
1997-01-01
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...
Porter, Edward K
2015-01-01
Massive black hole binaries are the primary source of gravitational waves (GW) for the future eLISA observatory. The detection and parameter estimation of these sources to high redshift would provide invaluable information on the formation mechanisms of seed black holes, and on the evolution of massive black holes and their host galaxies through cosmic time. The Fisher information matrix has been the standard tool for GW parameter estimation in the last two decades. However, recent studies have questioned the validity of using the Fisher matrix approach. For example, the Fisher matrix approach sometimes predicts errors of $\\geq100\\%$ in the estimation of parameters such as the luminosity distance and sky position. With advances in computing power, Bayesian inference is beginning to replace the Fisher matrix approximation in parameter estimation studies. In this work, we conduct a Bayesian inference analysis for 120 sources situated at redshifts of between $0.1\\leq z\\leq 13.2$, and compare the results with tho...
Estimation of fracture compliance from tubewaves generated at a fracture intersecting a borehole
Bakku, Sudhish Kumar
2011-01-01
Understanding fracture compliance is important for characterizing fracture networks and for inferring fluid flow in the subsurface. In an attempt to estimate fracture compliance in the field, we developed a new model to ...
Mojzsis, Stephen J.
Source area and rupture parameters of the 31 December 1881 Mw = 7.9 Car Nicobar earthquake on the India/Andaman plate boundary resulting in 1060 cm of uplift of the island of Car Nicobar. The rupture., and R. Bilham, Source area and rupture parameters of the 31 December 1881 Mw = 7.9 Car Nicobar
Chen, Jinsong
studies, reservoir parameters as well as geophysical attributes at unsampled locations were considered relationships between the reservoir parameters and the geophysical attributes were enforced. Those methods and the geophysical attributes. Unlike conventional inversion, our stochastic inversion of seismic P-wave velocity
Wang, Ruofan; Wang, Jiang; Deng, Bin Liu, Chen; Wei, Xile; Tsang, K. M.; Chan, W. L.
2014-03-15
A combined method composing of the unscented Kalman filter (UKF) and the synchronization-based method is proposed for estimating electrophysiological variables and parameters of a thalamocortical (TC) neuron model, which is commonly used for studying Parkinson's disease for its relay role of connecting the basal ganglia and the cortex. In this work, we take into account the condition when only the time series of action potential with heavy noise are available. Numerical results demonstrate that not only this method can estimate model parameters from the extracted time series of action potential successfully but also the effect of its estimation is much better than the only use of the UKF or synchronization-based method, with a higher accuracy and a better robustness against noise, especially under the severe noise conditions. Considering the rather important role of TC neuron in the normal and pathological brain functions, the exploration of the method to estimate the critical parameters could have important implications for the study of its nonlinear dynamics and further treatment of Parkinson's disease.
Edward K. Porter; Neil J. Cornish
2015-02-19
Massive black hole binaries are the primary source of gravitational waves (GW) for the future eLISA observatory. The detection and parameter estimation of these sources to high redshift would provide invaluable information on the formation mechanisms of seed black holes, and on the evolution of massive black holes and their host galaxies through cosmic time. The Fisher information matrix has been the standard tool for GW parameter estimation in the last two decades. However, recent studies have questioned the validity of using the Fisher matrix approach. For example, the Fisher matrix approach sometimes predicts errors of $\\geq100\\%$ in the estimation of parameters such as the luminosity distance and sky position. With advances in computing power, Bayesian inference is beginning to replace the Fisher matrix approximation in parameter estimation studies. In this work, we conduct a Bayesian inference analysis for 120 sources situated at redshifts of between $0.1\\leq z\\leq 13.2$, and compare the results with those from a Fisher matrix analysis. The Fisher matrix results suggest that for this particular selection of sources, eLISA would be unable to localize sources at redshifts of $z\\lesssim6$. In contrast, Bayesian inference provides finite error estimations for all sources in the study, and shows that we can establish minimum closest distances for all sources. The study further predicts that we should be capable with eLISA, out to a redshift of at least $z\\leq13$, of predicting a maximum error in the chirp mass of $\\lesssim 1\\%$, the reduced mass of $\\lesssim20\\%$, the time to coalescence of 2 hours, and to a redshift of $z\\sim5$, the inclination of the source with a maximum error of $\\sim60$ degrees.
Ferraioli, Luigi; Hueller, Mauro; Vitale, Stefano; Heinzel, Gerhard; Hewitson, Martin; Monsky, Anneke; Nofrarias, Miquel
2010-08-15
The scientific objectives of the LISA Technology Package experiment on board of the LISA Pathfinder mission demand accurate calibration and validation of the data analysis tools in advance of the mission launch. The level of confidence required in the mission outcomes can be reached only by intensively testing the tools on synthetically generated data. A flexible procedure allowing the generation of a cross-correlated stationary noise time series was set up. A multichannel time series with the desired cross-correlation behavior can be generated once a model for a multichannel cross-spectral matrix is provided. The core of the procedure comprises a noise coloring, multichannel filter designed via a frequency-by-frequency eigendecomposition of the model cross-spectral matrix and a subsequent fit in the Z domain. The common problem of initial transients in a filtered time series is solved with a proper initialization of the filter recursion equations. The noise generator performance was tested in a two-dimensional case study of the closed-loop LISA Technology Package dynamics along the two principal degrees of freedom.
Paris-Sud XI, Université de
1 Flow at Low Water Contents: A Simple Approach for Inverse Estimation of van Genuchten-Mualem Soil and civil engineering. Because of the strong dependency of these properties on water content. For gravimetric water contents greater than 0.04, numeral results agreed well with experimental data, while some
Parameter Estimates for a PEMFC Cathode Qingzhi Guo,* Vijay A. Sethuraman,* and Ralph E. White**,z
, Columbia, South Carolina 29208, USA Five parameters of a model of a polymer electrolyte membrane fuel cell of oxygen in a flooded spherical agglomerate particle to the square of that particle radius were determined. The air cathode in a polymer electrolyte membrane fuel cell PEMFC is the largest source of voltage loss
Estimate of the Sources of Plutonium-Containing Wastes Generated from MOX Fuel Production in Russia
Kudinov, K. G.; Tretyakov, A. A.; Sorokin, Yu. P.; Bondin, V. V.; Manakova, L. F.; Jardine, L. J.
2002-02-26
In Russia, mixed oxide (MOX) fuel is produced in a pilot facility ''Paket'' at ''MAYAK'' Production Association. The Mining-Chemical Combine (MCC) has developed plans to design and build a dedicated industrial-scale plant to produce MOX fuel and fuel assemblies (FA) for VVER-1000 water reactors and the BN-600 fast-breeder reactor, which is pending an official Russian Federation (RF) site-selection decision. The design output of the plant is based on a production capacity of 2.75 tons of weapons plutonium per year to produce the resulting fuel assemblies: 1.25 tons for the BN-600 reactor FAs and the remaining 1.5 tons for VVER-1000 FAs. It is likely the quantity of BN-600 FAs will be reduced in actual practice. The process of nuclear disarmament frees a significant amount of weapons plutonium for other uses, which, if unutilized, represents a constant general threat. In France, Great Britain, Belgium, Russia, and Japan, reactor-grade plutonium is used in MOX-fuel production. Making MOX-fuel for CANDU (Canada) and pressurized water reactors (PWR) (Europe) is under consideration in Russia. If this latter production is added, as many as 5 tons of Pu per year might be processed into new FAs in Russia. Many years of work and experience are represented in the estimates of MOX fuel production wastes derived in this report. Prior engineering studies and sludge treatment investigations and comparisons have determined how best to treat Pu sludges and MOX fuel wastes. Based upon analyses of the production processes established by these efforts, we can estimate that there will be approximately 1200 kg of residual wastes subject to immobilization per MT of plutonium processed, of which approximately 6 to 7 kg is Pu in the residuals per MT of Pu processed. The wastes are various and complicated in composition. Because organic wastes constitute both the major portion of total waste and of the Pu to be immobilized, the recommended treatment of MOX-fuel production waste is incineration or calcination, alkali sintering, and dissolution of sintered products in nitric acid. Insoluble residues are then mixed with vitrifying components and Pu sludges, vitrified, and sent for storage and disposal. Implementation of the intergovernmental agreement between Russia and the United States (US) regarding the utilization of 34 tons of weapons plutonium will also require treatment of Pu containing MOX fabrication wastes at the MCC radiochemical production plant.
Estimate of the Sources of Plutonium-Containing Wastes Generated from MOX Fuel Production in Russia
Kudinov, K.G.; Tretyakov, A.A.; Sorokin, Y.P.; Bondin, V.V.; Manakova, L.F.; Jardine, L.J.
2001-12-01
In Russia, mixed oxide (MOX) fuel is produced in a pilot facility ''Paket'' at ''MAYAK'' Production Association. The Mining-Chemical Combine (MCC) has developed plans to design and build a dedicated industrial-scale plant to produce MOX fuel and fuel assemblies (FA) for VVER-1000 water reactors and the BN-600 fast-breeder reactor, which is pending an official Russian Federation (RF) site-selection decision. The design output of the plant is based on production capacity of 2.75 tons of weapons plutonium per year to produce the resulting fuel assemblies: 1.25 tons for the BN-600 reactor FAs and the remaining 1.5 tons for VVER-1000 FAs. It is likely the quantity of BN-600 FAs will be reduced in actual practice. The process of nuclear disarmament frees a significant amount of weapons plutonium for other uses, which, if unutilized, represents a constant general threat. In France, Great Britain, Belgium, Russia, and Japan, reactor-grade plutonium is used in MOX-fuel production. Making MOX-fuel for CANDU (Canada) and pressurized water reactors (PWR) (Europe) is under consideration Russia. If this latter production is added, as many as 5 tons of Pu per year might be processed into new FAs in Russia. Many years of work and experience are represented in the estimates of MOX fuel production wastes derived in this report. Prior engineering studies and sludge treatment investigations and comparisons have determined how best to treat Pu sludges and MOX fuel wastes. Based upon analyses of the production processes established by these efforts, we can estimate that there will be approximately 1200 kg of residual wastes subject to immobilization per MT of plutonium processed, of which approximately 6 to 7 kg is Pu in the residuals per MT of Pu processed. The wastes are various and complicated in composition. Because organic wastes constitute both the major portion of total waste and of the Pu to be immobilized, the recommended treatment of MOX-fuel production waste is incineration or calcination, alkali sintering, and dissolution of sintered products in nitric acid. Insoluble residues are then mixed with vitrifying components and Pu sludges, vitrified, and sent for storage and disposal.
Meyer, Philip D.; Ye, Ming; Rockhold, Mark L.; Neuman, Shlomo P.; Cantrell, Kirk J.
2007-07-30
This report to the Nuclear Regulatory Commission (NRC) describes the development and application of a methodology to systematically and quantitatively assess predictive uncertainty in groundwater flow and transport modeling that considers the combined impact of hydrogeologic uncertainties associated with the conceptual-mathematical basis of a model, model parameters, and the scenario to which the model is applied. The methodology is based on a n extension of a Maximum Likelihood implementation of Bayesian Model Averaging. Model uncertainty is represented by postulating a discrete set of alternative conceptual models for a site with associated prior model probabilities that reflect a belief about the relative plausibility of each model based on its apparent consistency with available knowledge and data. Posterior model probabilities are computed and parameter uncertainty is estimated by calibrating each model to observed system behavior; prior parameter estimates are optionally included. Scenario uncertainty is represented as a discrete set of alternative future conditions affecting boundary conditions, source/sink terms, or other aspects of the models, with associated prior scenario probabilities. A joint assessment of uncertainty results from combining model predictions computed under each scenario using as weight the posterior model and prior scenario probabilities. The uncertainty methodology was applied to modeling of groundwater flow and uranium transport at the Hanford Site 300 Area. Eight alternative models representing uncertainty in the hydrogeologic and geochemical properties as well as the temporal variability were considered. Two scenarios represent alternative future behavior of the Columbia River adjacent to the site were considered. The scenario alternatives were implemented in the models through the boundary conditions. Results demonstrate the feasibility of applying a comprehensive uncertainty assessment to large-scale, detailed groundwater flow and transport modeling and illustrate the benefits of the methodology I providing better estimates of predictive uncertiay8, quantitative results for use in assessing risk, and an improved understanding of the system behavior and the limitations of the models.
Griffin, Joshua D. (Sandai National Labs, Livermore, CA); Eldred, Michael Scott; Martinez-Canales, Monica L.; Watson, Jean-Paul; Kolda, Tamara Gibson; Adams, Brian M.; Swiler, Laura Painton; Williams, Pamela J.; Hough, Patricia Diane; Gay, David M.; Dunlavy, Daniel M.; Eddy, John P.; Hart, William Eugene; Guinta, Anthony A.; Brown, Shannon L.
2006-10-01
The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a reference manual for the commands specification for the DAKOTA software, providing input overviews, option descriptions, and example specifications.
Mirocha, Jordan; Burns, Jack O
2015-01-01
Following our previous work, which related generic features in the sky-averaged (global) 21-cm signal to properties of the intergalactic medium, we now investigate the prospects for constraining a simple galaxy formation model with current and near-future experiments. Markov-Chain Monte Carlo fits to our synthetic dataset, which includes a realistic galactic foreground, a plausible model for the signal, and noise consistent with 100 hours of integration by an ideal instrument, suggest that a simple four-parameter model that links the production rate of Lyman-$\\alpha$, Lyman-continuum, and X-ray photons to the growth rate of dark matter halos can be well-constrained (to $\\sim 0.1$ dex in each dimension) so long as all three spectral features expected to occur between $40 \\lesssim \
Life Estimation of PWR Steam Generator U-Tubes Subjected to Foreign Object-Induced Fretting Wear
Jo, Jong Chull; Jhung, Myung Jo; Kim, Woong Sik; Kim, Hho Jung
2005-10-15
This paper presents an approach to the remaining life prediction of steam generator (SG) U-tubes, which are intact initially, subjected to fretting-wear degradation due to the interaction between a vibrating tube and a foreign object in operating nuclear power plants. The operating SG shell-side flow field conditions are obtained from a three-dimensional SG flow calculation using the ATHOS3 code. Modal analyses are performed for the finite element models of U-tubes to get the natural frequency, corresponding mode shape, and participation factor. The wear rate of a U-tube caused by a foreign object is calculated using the Archard formula, and the remaining life of the tube is predicted. Also discussed in this study are the effects of the tube modal characteristics, external flow velocity, and tube internal pressure on the estimated results of the remaining life of the tube.
O. Blanch; M. Martinez
2004-06-02
The potential of the new generation Cherenkov Telescopes to measure the energy spectrum of both, the already established extragalactic very high energy gamma-ray emitters and the best very high energy candidates from the EGRET catalogue is discussed. By a realistic simulation of the analysis of the expected extrapolated energy spectra, it is shown that the foreseen capability and precision of these instrument to measure the Gamma Ray Horizon may open the door to competitive measurements of the cosmological parameters.
Shantia Yarahmadian; Vineetha Menon; Majid Mahrooghy; Vahid A. Rezania
2015-10-25
Recent studies has revealed that Microtubules (MTs) exhibit three transition states of growth, shrinkage and pause. In this paper, we first introduce a three states random evolution model as a framework for studying MTs dynamics in three transition states of growth, pause and shrinkage. Then, we introduce a non-traditional stack run encoding scheme with 5 symbols for detecting transition states as well as to encode MT experimental data. The peak detection is carried out in the wavelet domain to effectively detect these three transition states. One of the added advantages of including peak information while encoding being that it enables to detect the peaks efficiently and encodes them simultaneously in the wavelet domain without having the need to do further processing after the decoding stage. Experimental results show that using this form of non-traditional stack run encoding has better compression and reconstruction performance as opposed to traditional stack run encoding and run length encoding schemes. Parameters for MTs modeled in the three states are estimated and is shown to closely approximate original MT data for lower compression rates. As the compression rate increases, we may end up throwing away details that are required to detect transition states of MTs. Thus, choosing the right compression rate is a trade-off between admissible level of error in signal reconstruction, its parameter estimation and considerable rate of compression of MT data.
W. J. Chaplin; S. J. Jimenez-Reyes; A. Eff-Darwich; Y. Elsworth; R. New
2008-02-12
Frequencies, powers and damping rates of the solar p modes are all observed to vary over the 11-yr solar activity cycle. Here, we show that simultaneous variations of these parameters give rise to a subtle cross-talk effect, which we call the ``devil in the detail'', that biases p-mode frequencies estimated from analysis of long power frequency spectra. We also show that the resonant peaks observed in the power frequency spectra show small distortions due to the effect. Most of our paper is devoted to a study of the effect for Sun-as-a-star observations of the low-l p modes. We show that for these data the significance of the effect is marginal. We also touch briefly on the likely l dependence of the effect, and discuss the implications of these results for solar structure inversions.
Eldred, Michael Scott; Dalbey, Keith R.; Bohnhoff, William J.; Adams, Brian M.; Swiler, Laura Painton; Hough, Patricia Diane; Gay, David M.; Eddy, John P.; Haskell, Karen H.
2010-05-01
The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a user's manual for the DAKOTA software and provides capability overviews and procedures for software execution, as well as a variety of example studies.
Griffin, Joshua D.; Eldred, Michael Scott; Martinez-Canales, Monica L.; Watson, Jean-Paul; Kolda, Tamara Gibson; Giunta, Anthony Andrew; Adams, Brian M.; Swiler, Laura Painton; Williams, Pamela J.; Hough, Patricia Diane; Gay, David M.; Dunlavy, Daniel M.; Eddy, John P.; Hart, William Eugene; Brown, Shannon L.
2006-10-01
The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a user's manual for the DAKOTA software and provides capability overviews and procedures for software execution, as well as a variety of example studies.
Eldred, Michael Scott; Dalbey, Keith R.; Bohnhoff, William J.; Adams, Brian M.; Swiler, Laura Painton; Hough, Patricia Diane; Gay, David M.; Eddy, John P.; Haskell, Karen H.
2010-05-01
The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a developers manual for the DAKOTA software and describes the DAKOTA class hierarchies and their interrelationships. It derives directly from annotation of the actual source code and provides detailed class documentation, including all member functions and attributes.
Griffin, Joshua D. (Sandia National lababoratory, Livermore, CA); Eldred, Michael Scott; Martinez-Canales, Monica L.; Watson, Jean-Paul; Kolda, Tamara Gibson (Sandia National lababoratory, Livermore, CA); Giunta, Anthony Andrew; Adams, Brian M.; Swiler, Laura Painton; Williams, Pamela J.; Hough, Patricia Diane (Sandia National lababoratory, Livermore, CA); Gay, David M.; Dunlavy, Daniel M.; Eddy, John P.; Hart, William Eugene; Brown, Shannon L.
2006-10-01
The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a developers manual for the DAKOTA software and describes the DAKOTA class hierarchies and their interrelationships. It derives directly from annotation of the actual source code and provides detailed class documentation, including all member functions and attributes.
Beersma, Jules
AND A RAINFALL GENERATOR Mailin Eberle 1 , Hendrik Buiteveld 2 , Jules Beersma 3 , Peter Krahe 1 , Klaus Wilke 1 of discharge generation. A stochastic rainfall generator based on nearest neighbour resampling has been. The largest simulated flood event based on generated precipitation is 20% larger than the 1993 flood event
Updated Capital Cost Estimates for Utility Scale Electricity
that will serve future demand for electricity. These parameters also help to determine how new capacity competesUpdated Capital Cost Estimates for Utility Scale Electricity Generating Plants April 2013 Information Administration | Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants ii
, in Human Computer Interfaces (HCI) gaze information coordinated with other user inputs can lead fields. In psychology and sociology, gaze information helps to infer inner states of people Color distributions Visual target Geometric parameters Eyelids openinglocation Person-wise parameters
Memmi, F.; Falconi, L.; Cappelli, M.; Palomba, M.; Santoro, E.; Bove, R.; Sepielli, M.
2012-07-01
Improvements in the awareness of a system status is an essential requirement to achieve safety in every kind of plant. In particular, in the case of Nuclear Power Plants (NPPs), a progress is crucial to enhance the Human Machine Interface (HMI) in order to optimize monitoring and analyzing processes of NPP operational states. Firstly, as old-fashioned plants are concerned, an upgrading of the whole console instrumentation is desirable in order to replace an analog visualization with a full-digital system. In this work, we present a novel instrument able to interface the control console of a nuclear reactor, developed by using CompactRio, a National Instruments embedded architecture and its dedicated programming language. This real-time industrial controller composed by a real-time processor and FPGA modules has been programmed to visualize the parameters coming from the reactor, and to storage and reproduce significant conditions anytime. This choice has been made on the basis of the FPGA properties: high reliability, determinism, true parallelism and re-configurability, achieved by a simple programming method, based on LabVIEW real-time environment. The system architecture exploits the FPGA capabilities of implementing custom timing and triggering, hardware-based analysis and co-processing, and highest performance control algorithms. Data stored during the supervisory phase can be reproduced by loading data from a measurement file, re-enacting worthwhile operations or conditions. The system has been thought to be used in three different modes, namely Log File Mode, Supervisory Mode and Simulation Mode. The proposed system can be considered as a first step to develop a more complete Decision Support System (DSS): indeed this work is part of a wider project that includes the elaboration of intelligent agents and meta-theory approaches. A synoptic has been created to monitor every kind of action on the plant through an intuitive sight. Furthermore, another important aim of this work is the possibility to have a front panel available on a web interface: CompactRio acts as a remote server and it is accessible on a dedicated LAN. This supervisory system has been tested and validated on the basis of the real control console for the 1-MW TRIGA reactor RC-1 at the ENEA, Casaccia Research Center. In this paper we show some results obtained by recording each variable as the reactor reaches its maximum level of power. The choice of a research reactor for testing the developed system relies on its training and didactic importance for the education of plant operators: in this context a digital instrument can offer a better user-friendly tool for learning and training. It is worthwhile to remark that such a system does not interfere with the console instrumentation, the latter continuing to preserve the total control. (authors)
Talley, Thomas James
1979-01-01
, where several of the staged fault tests were conducted, indicated that a 600:5 CT would be used in each phase and neutral of the line under test. The 60 Hz fault current availability at the test site was calculated to be approximately 2100 amps... CT secondary current Pk amps Pk 10kHz value expected 600:5 20/120 = . 1667 amps 1. 414 x . 1667a = . 235pk 0. 235 ? : 100 (40 db) = Z. 35ma Current/voltage transformer Z. 35ma ? : 10 = . 000235v 0. 235mv Thus the maximum estimated signal...
Zhang, Yunpeng; Li, En Guo, Gaofeng; Xu, Jiadi; Wang, Chao
2014-09-15
A pair of spot-focusing horn lens antenna is the key component in a free-space measurement system. The electromagnetic constitutive parameters of a planar sample are determined using transmitted and reflected electromagnetic beams. These parameters are obtained from the measured scattering parameters by the microwave network analyzer, thickness of the sample, and wavelength of a focused beam on the sample. Free-space techniques introduced by most papers consider the focused wavelength as the free-space wavelength. But in fact, the incident wave projected by a lens into the sample approximates a Gaussian beam, thus, there has an elongation of the wavelength in the focused beam and this elongation should be taken into consideration in dielectric and magnetic measurement. In this paper, elongation of the wavelength has been analyzed and measured. Measurement results show that the focused wavelength in the vicinity of the focus has an elongation of 1%–5% relative to the free-space wavelength. Elongation's influence on the measurement result of the permittivity and permeability has been investigated. Numerical analyses show that the elongation of the focused wavelength can cause the increase of the measured value of the permeability relative to traditionally measured value, but for the permittivity, it is affected by several parameters and may increase or decrease relative to traditionally measured value.
Xia, Xuhua
estimates, but the Gompertz model had R2 values consistently larger than the logistic model. The HT clones and logistic models were used to estimate these three parameters. The two models gave almost identical hypotheses [9]. Such experimental studies generate results more feasible to reveal the cause^ e
Quantum enhanced estimation of a multi-dimensional field
Tillmann Baumgratz; Animesh Datta
2015-07-10
We present a framework for the quantum enhanced estimation of multiple parameters corresponding to non-commuting unitary generators. Our formalism provides a recipe for the simultaneous estimation of all three components of a magnetic field. We propose a probe state that surpasses the precision of estimating the three components individually and discuss measurements that come close to attaining the quantum limit. Our study also reveals that too much quantum entanglement may be detrimental to attaining the Heisenberg scaling in quantum metrology.
Nutzman, Philip; Charbonneau, David; Holman, Matthew J. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Gilliland, Ronald L.; McCullough, Peter R.; Nelan, Edmund P. [Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218 (United States); Christensen-Dalsgaard, Joergen; Kjeldsen, Hans [Department of Physics and Astronomy, Aarhus University, DK-8000 Aarhus C (Denmark); Brown, Timothy M., E-mail: pnutzman@cfa.harvard.edu [Las Cumbres Observatory Global Telescope, Goleta, CA 93117 (United States)
2011-01-01
We present observations of three distinct transits of HD 17156b obtained with the Fine Guidance Sensors on board the Hubble Space Telescope. We analyzed both the transit photometry and previously published radial velocities to find the planet-star radius ratio R{sub p} /R{sub *} = 0.07454 {+-} 0.00035, inclination i = 86.49{sup +0.24}{sub -0.20} deg, and scaled semimajor axis a/R{sub *} = 23.19{sup +0.32}{sub -0.27}. This last value translates directly to a mean stellar density determination {rho}{sub *} = 0.522{sup +0.021}{sub -0.018} g cm{sup -3}. Analysis of asteroseismology observations by the companion paper of Gilliland et al. provides a consistent but significantly refined measurement of {rho}{sub *} = 0.5308 {+-} 0.0040. We compare stellar isochrones to this density estimate and find M{sub *} = 1.275 {+-} 0.018 M{sub sun} and a stellar age of 3.37{sup +0.20}{sub -0.47} Gyr. Using this estimate of M{sub *} and incorporating the density constraint from asteroseismology, we model both the photometry and published radial velocities to estimate the planet radius R{sub p} = 1.0870 {+-} 0.0066 R{sub J} and the stellar radius R{sub *} = 1.5007 {+-} 0.0076 R{sub sun}. The planet radius is larger than that found in previous studies and consistent with theoretical models of a solar-composition gas giant of the same mass and equilibrium temperature. For the three transits, we determine the times of mid-transit to a precision of 6.2 s, 7.6 s, and 6.9 s, and the transit times for HD 17156 do not show any significant departures from a constant period. The joint analysis of transit photometry and asteroseismology presages similar studies that will be enabled by the NASA Kepler Mission.
Joko Tingkir program for estimating tsunami potential rapidly
Madlazim,, E-mail: m-lazim@physics.its.ac.id; Hariyono, E., E-mail: m-lazim@physics.its.ac.id [Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Surabaya (UNESA) , Jl. Ketintang, Surabaya 60231 (Indonesia)
2014-09-25
The purpose of the study was to estimate P-wave rupture durations (T{sub dur}), dominant periods (T{sub d}) and exceeds duration (T{sub 50Ex}) simultaneously for local events, shallow earthquakes which occurred off the coast of Indonesia. Although the all earthquakes had parameters of magnitude more than 6,3 and depth less than 70 km, part of the earthquakes generated a tsunami while the other events (Mw=7.8) did not. Analysis using Joko Tingkir of the above stated parameters helped understand the tsunami generation of these earthquakes. Measurements from vertical component broadband P-wave quake velocity records and determination of the above stated parameters can provide a direct procedure for assessing rapidly the potential for tsunami generation. The results of the present study and the analysis of the seismic parameters helped explain why the events generated a tsunami, while the others did not.
Chapter Number Parameter Estimation Over Noisy
Jayaweera, Sudharman K.
and Computer Engineering, University of New Mexico, 2Dept. de Teoría de la Seńal y Comunicaciones, Universidad, is corrupted by both multiplicative and additive noise. The performance of the final decision will depend
Parameter Estimation for the Truncated Pareto Distribution
Meerschaert, Mark M.
in areas of science and engineering where power law probability tails are prevalent. Heavy-tailed random on whether a dataset follows a Pareto or truncated Pareto distribu- tion, it is also useful to test, and Wheatcraft 2001), engineering (Nikias and Shao 1995; Resnick 1997; Resnick and Starica 1995; Uchaikin
ESTIMATION OF TIME DEPENDENT PARAMETERS IN GENERAL
identification problems arise in several contexts, including bioremediation of contami nated groundwater [12. Fluctuations in water tables due to precipitation cause changes in groundwater velocity fields which in some
Estimating Vision Parameters Given Data with Covariances
Chojnacki, Wojtek
is a quadratic form in the compound vector [xT , 1]T , (ii) one component of u(x) is equal to 1. An ancillary, determine = 0 satisfying the ancillary equation (if applicable) together with the system of equations). The rank-2 constraint can in turn be expressed as the ancillary constraint if we let () = 1(59 - 68) + 2
Parameter estimation of vector controlled induction machine
Rahman, Tahmid Ur
2002-01-01
the measurement of the back emf (electromotive force) through a transducer. Simulated results validate the claim....
Thermal Hydraulic Simulations, Error Estimation and Parameter
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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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar FuelTechnologyTel: Name:Departmentand in complexADTSC
A simple method to estimate interwell autocorrelation
Pizarro, J.O.S.; Lake, L.W.
1997-08-01
The estimation of autocorrelation in the lateral or interwell direction is important when performing reservoir characterization studies using stochastic modeling. This paper presents a new method to estimate the interwell autocorrelation based on parameters, such as the vertical range and the variance, that can be estimated with commonly available data. We used synthetic fields that were generated from stochastic simulations to provide data to construct the estimation charts. These charts relate the ratio of areal to vertical variance and the autocorrelation range (expressed variously) in two directions. Three different semivariogram models were considered: spherical, exponential and truncated fractal. The overall procedure is demonstrated using field data. We find that the approach gives the most self-consistent results when it is applied to previously identified facies. Moreover, the autocorrelation trends follow the depositional pattern of the reservoir, which gives confidence in the validity of the approach.
Sotelo Gamboa, Edith
2014-11-12
The overall goal of this study is to generate discrete fracture networks using microseismic and core data from a natural fractured reservoir that has been hydraulically stimulated. To improve fracture characterization, a ...
Distributed Estimation Distributed Estimation
Gupta, Vijay
with a Star Topology 2 2.1 Static Sensor Fusion . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.1.1 Combining Estimators . . . . . . . . . . . . . . . . . . . . 3 2.1.2 Static Sensor Fusion for Star Topology;Distributed Estimation 3 Non-Ideal Networks with Star Topology 10 3.1 Sensor Fusion in Presence of Message
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.
: Helmholtz machine estimation .
: Helmholtz machine density estimation . . : . . . (supervised learning) , (active learning) (query learning) [1, 3]. . (unsupervised learning), . , [5]. . Helmholtz machine , . Helmholtz machine : Helmholtz machine [2] . Helmholtz machine (generative network) (recognition network) . , , . Helmholtz machine (self
Paul, Sabyasachi; Sahoo, G. S.; Tripathy, S. P. E-mail: tripathy@barc.gov.in; Sunil, C.; Bandyopadhyay, T.; Sharma, S. C.; Ramjilal,; Ninawe, N. G.; Gupta, A. K.
2014-06-15
A systematic study on the measurement of neutron spectra emitted from the interaction of protons of various energies with a thick beryllium target has been carried out. The measurements were carried out in the forward direction (at 0° with respect to the direction of protons) using CR-39 detectors. The doses were estimated using the in-house image analyzing program autoTRAK-n, which works on the principle of luminosity variation in and around the track boundaries. A total of six different proton energies starting from 4 MeV to 24 MeV with an energy gap of 4 MeV were chosen for the study of the neutron yields and the estimation of doses. Nearly, 92% of the recoil tracks developed after chemical etching were circular in nature, but the size distributions of the recoil tracks were not found to be linearly dependent on the projectile energy. The neutron yield and dose values were found to be increasing linearly with increasing projectile energies. The response of CR-39 detector was also investigated at different beam currents at two different proton energies. A linear increase of neutron yield with beam current was observed.
The energy balancing parameter
Walton R. Gutierrez
2011-05-10
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
Nicoli, Monica
Abstract 3-D seismic surveys generate 5-D data volume. In order to estimate the horizons for interpretation and further processing, the traveltime picking needs to be performed on n-D subsets of this 5-D to support the interpreters in the estimation of the events by preserving their depth continuity. The HP
GENERATION, ESTIMATION AND TRACKING OF FACES
DeCarlo, Doug
with the model. Our face models respect the measurements of populations described by face anthropometry studies
Shafer, John M
2012-11-05
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.
DER Program Weibull Strength Parameter Requirements for
Pennycook, Steve
an acceptable component failure rate. Utilize NASA/CARES to back-calculate Weibull parameter pairs that when Wereszczak Oak Ridge National Laboratory Curt Johnson General Electric Corporate Research & Development the quality of the parameter estimates. This effect is depicted relative to the material performance curves
Shlapentokh, Alexandra
Diophantine Generation, Horizontal and Vertical Problems, and the Weak Vertical Method Alexandra Shlapentokh Diophantine Sets, Definitions and Generation Diophantine Sets Diophantine Generation Properties of Diophantine Generation Diophantine Family of Z Diophantine Family of a Polynomial Ring Going Down Horizontal
Estimation of food consumption
Callaway, J.M. Jr.
1992-04-01
The research reported in this document was conducted as a part of the Hanford Environmental Dose Reconstruction (HEDR) Project. The objective of the HEDR Project is to estimate the radiation doses that people could have received from operations at the Hanford Site. Information required to estimate these doses includes estimates of the amounts of potentially contaminated foods that individuals in the region consumed during the study period. In that general framework, the objective of the Food Consumption Task was to develop a capability to provide information about the parameters of the distribution(s) of daily food consumption for representative groups in the population for selected years during the study period. This report describes the methods and data used to estimate food consumption and presents the results developed for Phase I of the HEDR Project.
Improving earthquake source spectrum estimation using multitaper techniques
Prieto, Germán A.
2007-01-01
65 Uncertainties in earthquake source spectrum estimation1. Earthquake physics . . . . . . . . . . . . . . .1. Static and dynamic earthquake parameters 2. Scaling of
Robust and intelligent bearing estimation
Claassen, John P. (Albuquerque, NM)
2000-01-01
A method of bearing estimation comprising quadrature digital filtering of event observations, constructing a plurality of observation matrices each centered on a time-frequency interval, determining for each observation matrix a parameter such as degree of polarization, linearity of particle motion, degree of dyadicy, or signal-to-noise ratio, choosing observation matrices most likely to produce a set of best available bearing estimates, and estimating a bearing for each observation matrix of the chosen set.
Heath, G.; O'Donoughue, P.; Whitaker, M.
2012-12-01
This research provides a systematic review and harmonization of the life cycle assessment (LCA) literature of electricity generated from conventionally produced natural gas. We focus on estimates of greenhouse gases (GHGs) emitted in the life cycle of electricity generation from conventionally produced natural gas in combustion turbines (NGCT) and combined-cycle (NGCC) systems. A process we term "harmonization" was employed to align several common system performance parameters and assumptions to better allow for cross-study comparisons, with the goal of clarifying central tendency and reducing variability in estimates of life cycle GHG emissions. This presentation summarizes preliminary results.
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Electricity, US Data. 6. Distributed Generation: Standby Generation and Cogeneration Ozz Energy Solutions, Inc. February 28 th , 2005. For more information about...
Magnetic nanoparticle temperature estimation
Weaver, John B.; Rauwerdink, Adam M.; Hansen, Eric W.
2009-05-15
The authors present a method of measuring the temperature of magnetic nanoparticles that can be adapted to provide in vivo temperature maps. Many of the minimally invasive therapies that promise to reduce health care costs and improve patient outcomes heat tissue to very specific temperatures to be effective. Measurements are required because physiological cooling, primarily blood flow, makes the temperature difficult to predict a priori. The ratio of the fifth and third harmonics of the magnetization generated by magnetic nanoparticles in a sinusoidal field is used to generate a calibration curve and to subsequently estimate the temperature. The calibration curve is obtained by varying the amplitude of the sinusoidal field. The temperature can then be estimated from any subsequent measurement of the ratio. The accuracy was 0.3 deg. K between 20 and 50 deg. C using the current apparatus and half-second measurements. The method is independent of nanoparticle concentration and nanoparticle size distribution.
Thermodynamic estimation: Ionic materials
Glasser, Leslie, E-mail: l.glasser@curtin.edu.au
2013-10-15
Thermodynamics establishes equilibrium relations among thermodynamic parameters (“properties”) and delineates the effects of variation of the thermodynamic functions (typically temperature and pressure) on those parameters. However, classical thermodynamics does not provide values for the necessary thermodynamic properties, which must be established by extra-thermodynamic means such as experiment, theoretical calculation, or empirical estimation. While many values may be found in the numerous collected tables in the literature, these are necessarily incomplete because either the experimental measurements have not been made or the materials may be hypothetical. The current paper presents a number of simple and relible estimation methods for thermodynamic properties, principally for ionic materials. The results may also be used as a check for obvious errors in published values. The estimation methods described are typically based on addition of properties of individual ions, or sums of properties of neutral ion groups (such as “double” salts, in the Simple Salt Approximation), or based upon correlations such as with formula unit volumes (Volume-Based Thermodynamics). - Graphical abstract: Thermodynamic properties of ionic materials may be readily estimated by summation of the properties of individual ions, by summation of the properties of ‘double salts’, and by correlation with formula volume. Such estimates may fill gaps in the literature, and may also be used as checks of published values. This simplicity arises from exploitation of the fact that repulsive energy terms are of short range and very similar across materials, while coulombic interactions provide a very large component of the attractive energy in ionic systems. Display Omitted - Highlights: • Estimation methods for thermodynamic properties of ionic materials are introduced. • Methods are based on summation of single ions, multiple salts, and correlations. • Heat capacity, entropy, lattice energy, enthalpy, Gibbs energy values are available.
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
next up previous Next: 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...
The cosmological parameters from supernovae
P. Ruiz-Lapuente
1997-10-02
Supernovae are bright luminous stellar objects observable up to redshifts close to z~1. They are used to probe the geometry of the Universe and its expansion rate by applying different methods. In this article, I review various approaches used to measure the present expansion rate of the Universe, $H_{0}$, and the paths to determine its matter density $\\Omega_{M}$ and the possible contribution of a non-zero cosmological constant $\\Lambda$. An account is given of the numerical estimates of those cosmological parameters according to the present status of the research.
The effect of weak lensing on distance estimates from supernovae
Smith, Mathew; Maartens, Roy [Department of Physics, University of the Western Cape, Cape Town 7535 (South Africa); Bacon, David J.; Nichol, Robert C.; Campbell, Heather; D'Andrea, Chris B. [Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth, PO1 3FX (United Kingdom); Clarkson, Chris [Astrophysics, Cosmology and Gravity Centre (ACGC), Department of Mathematics and Applied Mathematics, University of Cape Town, Rondebosch 7701 (South Africa); Bassett, Bruce A. [South African Astronomical Observatory, P.O. Box 9, Observatory 7935 (South Africa); Cinabro, David [Wayne State University, Department of Physics and Astronomy, Detroit, MI 48202 (United States); Finley, David A.; Frieman, Joshua A. [Center for Particle Astrophysics, Fermi National Accelerator Laboratory, P.O. Box 500, Batavia, IL 60510 (United States); Galbany, Lluis [CENTRA Centro Multidisciplinar de Astrofísica, Instituto Superior Técnico, Av. Rovisco Pais 1, 1049-001 Lisbon (Portugal); Garnavich, Peter M. [Department of Physics, University of Notre Dame, Notre Dame, IN 46556 (United States); Olmstead, Matthew D. [Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112 (United States); Schneider, Donald P. [Department of Astronomy and Astrophysics, The Pennsylvania State University, University Park, PA 16802 (United States); Shapiro, Charles [Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, La Canada Flintridge, CA 91109 (United States); Sollerman, Jesper, E-mail: matsmith2@gmail.com [The Oskar Klein Centre, Department of Astronomy, AlbaNova, SE-106 91 Stockholm (Sweden)
2014-01-01
Using a sample of 608 Type Ia supernovae from the SDSS-II and BOSS surveys, combined with a sample of foreground galaxies from SDSS-II, we estimate the weak lensing convergence for each supernova line of sight. We find that the correlation between this measurement and the Hubble residuals is consistent with the prediction from lensing (at a significance of 1.7?). Strong correlations are also found between the residuals and supernova nuisance parameters after a linear correction is applied. When these other correlations are taken into account, the lensing signal is detected at 1.4?. We show, for the first time, that distance estimates from supernovae can be improved when lensing is incorporated, by including a new parameter in the SALT2 methodology for determining distance moduli. The recovered value of the new parameter is consistent with the lensing prediction. Using cosmic microwave background data from WMAP7, H {sub 0} data from Hubble Space Telescope and Sloan Digital Sky Survey (SDSS) Baryon acoustic oscillations measurements, we find the best-fit value of the new lensing parameter and show that the central values and uncertainties on ? {sub m} and w are unaffected. The lensing of supernovae, while only seen at marginal significance in this low-redshift sample, will be of vital importance for the next generation of surveys, such as DES and LSST, which will be systematics-dominated.
Parameter Estimation of Complex Systems from Sparse and Noisy Data
Chu, Yunfei
2011-02-22
tasks. The performance of model based techniques, e.g. system analysis, computer simulation, controller design, sensor development, state filtering, product monitoring, and process optimization, is highly dependent on the quality of the model used...
Parameter Estimation of the Hybrid Censored Log-Normal Distribution
Kundu, Debasis
, Pin 560035, India. SQC & OR Unit, Indian Statistical Institute, 203 B.T. Road, Kolkata, Pin 700108, India. Corresponding author, e-mail: bis@isical.ac.in Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, Pin 208016, India. 1 #12;1 Introduction Type-I and Type-II censoring schemes
Identification of random variation in structures and their parameter estimates.
Farrar, C. R. (Charles R.); Aumann, R. J. (Richard J.); McCarty, A. A. (Amanda A.); Olson, C. C. (Colin C.)
2002-01-01
Structures that are members of an ensemble of nominally identical systems actually differ due to variations in details among individuals. Furthermore, there are variations in the system response of an individual structure that can be attributed to unmeasured conditions (such as temperature and humidity) that are present during experiments. Finally, noise is present in all measurements of structural excitations and responses. For these reasons, there is always random variation associated with the characterizations of structural dynamic systems, and descriptions of results must be in statistical or probabilistic terms;. This study identifies and assesses the sources and the degrees of randomness in a metric of structural dynamics of a given system through experiments and analysis.
Nonlinear Adaptive Parameter Estimation Techniques for Magnetic Transducers Operating
in applications including high speed milling and hybrid motor design have led to the utilization the development of nonlinear adaptive identification techniques for low-order, energy-based hysteresis models as actuators in industrial applications such as high speed milling and highly sensitive sensors
Estimation of parameters governing the transmission dynamics of
humans is assessed using prevalence of morbidity as a measure of the level of ... Schistosomes are dioecious, helminth parasites with indirect life cycles.
Kinetic parameter estimation using nonisothermal trickle-bed reactor data
Mensik, Michael Allen
1985-01-01
, hydrodesulfurization and hydrodenitrogenation reactions can occur as well as some hydrogenation and hydrocracking. When a reactor operates in the trickle-flow regime, a continuous gas phase flows either cocurrent or countercurrent to a downward flowing liquid phase...
LOW COMPLEXITY MODELLING AND PARAMETER ESTIMATION IN COPPER BIOLEACHING PROCESSES
Braslavsky, Julio H.
received greater attention in recent years as a potential lower-cost, more environmentally acceptable by BHP Billiton Innovation. Simulation results indicate significant potential of the approach. Keywords facilities around the world, the technology has been characterised by lower than expected pro- duction rates
Estimation of kinetic model parameters in fluorescence optical diffusion tomography
demonstrate the method with a simulation study. © 2005 Optical Society of America OCIS codes: 170.6280, 290.7050
The Estimation of Statistical Parameters for Local Alignment Score Distributions
Bundschuh, Ralf
Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894 2 Department. Altschul 1 , Ralf Bundschuh 2 , Rolf Olsen 2 and Terence Hwa 2 1 National Center for Biotechnology Abstract The distribution of optimal local alignment scores of random sequences plays a vital role
Estimation of fracture parameters from reflection seismic data - Part I ...
A. Bakulin, V. Grechka, I. Tsvankin
2000-11-02
rocks requires accounting for the hydraulic interaction between cracks and pores. INTRODUCTION. Seismic detection of subsurface fractures has important ap-.
Estimating Building Simulation Parameters via Bayesian Structure Learning
Wang, Xiaorui "Ray"
sophisti- cated computer simulations such as EnergyPlus (E+), the DOE flagship whole-building energy, Probabilistic Inference, Big Data 1. INTRODUCTION EnergyPlus is currently DOE's flagship whole-building en- ergy
FNS, CFNS and HEIV: Extending Three Vision Parameter Estimation Methods
Chojnacki, Wojtek
are subject to an ancillary constraint not involving model points. A common form of the ancillary constraint
Model Reduction and Parameter Estimation in Groundwater Modeling
Siade, Adam
2012-01-01
Uncon?ned Groundwater Model Reduction via Proper Orthogonalvi List of Figures One-dimensional groundwater ?owQuadratic Programming 3.1 Con?ned aquifer groundwater ?ow
Parameter Estimation Techniques for a Class of Nonlinear Hysteresis Models
materials employed in a wide range of actuators and sensors. These models are formulated as integral of the hysteresis loop. Hence optimal tendon design to attenuate wind or earthquake-induced vibrations in civil energy models [8,10,1820,24,25], Preisach formulations [2,3,5,7,16,26], and domain wall models [6
Estimating type curve parameters with the cumulative curvature method
Harris, Dan Edward
1986-01-01
. 40847 3. 60387 3. 80408 4. 00!124 4. 21950 4. 43501 4. 65592 4. 88239 5. 11459 5. 35268 5. 59683 5. 847?4 6. 10407 6. 36753 6. 63780 6. 91508 7. 19959 7. 49153 1. 820 1. 810 1. 800 1. 789 1. 729 1. 712 1. 694 1. 677 1 659 1. 641...
Ef?cient Parameter Estimation Using Implicit Statistical Inference
method of using spatial pattern data to parameterize the incidence function and other patch models has been criticized ..... pN(l)) describing the state of the Markov chain at time t. I use X(t) speci?cally to ...... tion and management. Island Press ...
Analysis of Scattered Signal to Estimate Reservoir Fracture Parameters
Grandi, Samantha K.
We detect fracture corridors and determine their orientation and average spacing based on an analysis of seismic coda in the frequency-wave number (f-k ) domain. Fracture corridors have dimensions similar to seismic ...
Parameter Estimation and Tracking in Physical Layer Network Coding
Jain, Manish
2012-07-16
Recently, there has been a growing interest in improving the performance of the wireless relay networks through the use of Physical Layer Network Coding (PLNC) techniques. The physical layer network coding technique allows ...
ESTIMATION OF PROPER PARAMETER VALUES FOR DOCUMENT BINARIZATION
Papamarkos, Nikos
[13-14] and Gatos et al. [31]. In the context of document binarization, the most powerful techniques
ARM - Evaluation Product - Radiatively Important Parameters Best Estimate
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Parameter Estimation for Single Diode Models of Photovoltaic Modules
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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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeeding access| Department ofStephen PSeptember|March Study2065 Unlimited Release
Derivative-free optimization for parameter estimation in computational
Office of Scientific and Technical Information (OSTI)
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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing BacteriaConnectlaser-solid interaction (JournalArticle)Layersbehavior in a
Derivative-free optimization for parameter estimation in computational
Office of Scientific and Technical Information (OSTI)
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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing BacteriaConnectlaser-solid interaction (JournalArticle)Layersbehavior in anuclear
Estimating the spatio-temporal distribution of geochemical parameters
Office of Scientific and Technical Information (OSTI)
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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing(Journal Article) | SciTech(Journal(Patent)pressure in Ba ( Fe 1 - x Co x
Estimating the spatio-temporal distribution of geochemical parameters
Office of Scientific and Technical Information (OSTI)
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Reliable estimation of biochemical parameters from C3 leaf
Office of Scientific and Technical Information (OSTI)
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The Efficacy of Galaxy Shape Parameters in Photometric Redshift Estimation:
Office of Scientific and Technical Information (OSTI)
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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail. (Conference)FeedbackProperties of Graphene (Journal Article) |Article)theA Neural
The Efficacy of Galaxy Shape Parameters in Photometric Redshift Estimation:
Office of Scientific and Technical Information (OSTI)
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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail. (Conference)FeedbackProperties of Graphene (Journal Article) |Article)theA NeuralA
Pseudorandom sequences constructed by the power generator
Katalin, Gyarmati
Pseudorandom sequences constructed by the power generator Katalin Gyarmati # Abstract We study the pseudorandom properties of the power generator (which includes as special cases the RSA generator and the Blum- Blum-Shub generator). In order to estimate the pseudorandom mea- sures character sums with exponential
Vector generator scan converter
Moore, James M. (Livermore, CA); Leighton, James F. (Livermore, CA)
1990-01-01
High printing speeds for graphics data are achieved with a laser printer by transmitting compressed graphics data from a main processor over an I/O (input/output) channel to a vector generator scan converter which reconstructs a full graphics image for input to the laser printer through a raster data input port. The vector generator scan converter includes a microprocessor with associated microcode memory containing a microcode instruction set, a working memory for storing compressed data, vector generator hardward for drawing a full graphic image from vector parameters calculated by the microprocessor, image buffer memory for storing the reconstructed graphics image and an output scanner for reading the graphics image data and inputting the data to the printer. The vector generator scan converter eliminates the bottleneck created by the I/O channel for transmitting graphics data from the main processor to the laser printer, and increases printer speed up to thirty fold.
Vector generator scan converter
Moore, J.M.; Leighton, J.F.
1988-02-05
High printing speeds for graphics data are achieved with a laser printer by transmitting compressed graphics data from a main processor over an I/O channel to a vector generator scan converter which reconstructs a full graphics image for input to the laser printer through a raster data input port. The vector generator scan converter includes a microprocessor with associated microcode memory containing a microcode instruction set, a working memory for storing compressed data, vector generator hardware for drawing a full graphic image from vector parameters calculated by the microprocessor, image buffer memory for storing the reconstructed graphics image and an output scanner for reading the graphics image data and inputting the data to the printer. The vector generator scan converter eliminates the bottleneck created by the I/O channel for transmitting graphics data from the main processor to the laser printer, and increases printer speed up to thirty fold. 7 figs.
Yardim, Caglar; Gerstoft, Peter; Hodgkiss, William S.
2007-01-01
Estimating evaporation duct heights from radar sea echo,”Estimation of surface-based duct parameters from surfaceapplication of an evaporation duct model,” Radio Science,
Fischer, Noah A.
2012-08-14
The reactor core input generator allows for MCNP input files to be tailored to design specifications and generated in seconds. Full reactor models can now easily be created by specifying a small set of parameters and generating an MCNP input for a full reactor core. Axial zoning of the core will allow for density variation in the fuel and moderator, with pin-by-pin fidelity, so that BWR cores can more accurately be modeled. LWR core work in progress: (1) Reflectivity option for specifying 1/4, 1/2, or full core simulation; (2) Axial zoning for moderator densities that vary with height; (3) Generating multiple types of assemblies for different fuel enrichments; and (4) Parameters for specifying BWR box walls. Fuel pin work in progress: (1) Radial and azimuthal zoning for generating further unique materials in fuel rods; (2) Options for specifying different types of fuel for MOX or multiple burn assemblies; (3) Additional options for replacing fuel rods with burnable poison rods; and (4) Control rod/blade modeling.
Ness, E.
1999-09-02
Distributed generation, locating electricity generators close to the point of consumption, provides some unique benefits to power companies and customers that are not available from centralized electricity generation. Photovoltaic (PV) technology is well suited to distributed applications and can, especially in concert with other distributed resources, provide a very close match to the customer demand for electricity, at a significantly lower cost than the alternatives. In addition to augmenting power from central-station generating plants, incorporating PV systems enables electric utilities to optimize the utilization of existing transmission and distribution.
Enhancing e-waste estimates: Improving data quality by multivariate Input–Output Analysis
Wang, Feng, E-mail: fwang@unu.edu [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Huisman, Jaco [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Stevels, Ab [Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Baldé, Cornelis Peter [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Statistics Netherlands, Henri Faasdreef 312, 2492 JP Den Haag (Netherlands)
2013-11-15
Highlights: • A multivariate Input–Output Analysis method for e-waste estimates is proposed. • Applying multivariate analysis to consolidate data can enhance e-waste estimates. • We examine the influence of model selection and data quality on e-waste estimates. • Datasets of all e-waste related variables in a Dutch case study have been provided. • Accurate modeling of time-variant lifespan distributions is critical for estimate. - Abstract: Waste electrical and electronic equipment (or e-waste) is one of the fastest growing waste streams, which encompasses a wide and increasing spectrum of products. Accurate estimation of e-waste generation is difficult, mainly due to lack of high quality data referred to market and socio-economic dynamics. This paper addresses how to enhance e-waste estimates by providing techniques to increase data quality. An advanced, flexible and multivariate Input–Output Analysis (IOA) method is proposed. It links all three pillars in IOA (product sales, stock and lifespan profiles) to construct mathematical relationships between various data points. By applying this method, the data consolidation steps can generate more accurate time-series datasets from available data pool. This can consequently increase the reliability of e-waste estimates compared to the approach without data processing. A case study in the Netherlands is used to apply the advanced IOA model. As a result, for the first time ever, complete datasets of all three variables for estimating all types of e-waste have been obtained. The result of this study also demonstrates significant disparity between various estimation models, arising from the use of data under different conditions. It shows the importance of applying multivariate approach and multiple sources to improve data quality for modelling, specifically using appropriate time-varying lifespan parameters. Following the case study, a roadmap with a procedural guideline is provided to enhance e-waste estimation studies.
Stochastic Wireless Channel Modeling, Estimation and Identification from Measurements
Olama, Mohammed M [ORNL; Djouadi, Seddik M [ORNL; Li, Yanyan [ORNL
2008-07-01
This paper is concerned with stochastic modeling of wireless fading channels, parameter estimation, and system identification from measurement data. Wireless channels are represented by stochastic state-space form, whose parameters and state variables are estimated using the expectation maximization algorithm and Kalman filtering, respectively. The latter are carried out solely from received signal measurements. These algorithms estimate the channel inphase and quadrature components and identify the channel parameters recursively. The proposed algorithm is tested using measurement data, and the results are presented.
Experimental Investigation of Helicopter Weight and Mass Center Estimation
Taylor, Bradley Whitten
2013-04-09
Real-time estimates of weight and mass center location for helicopters are desirable for flight control and condition-based maintenance purposes. While methods to estimate mass parameters of helicopters have been developed, they often assume near...
Efficient classification of complete parameter regions based on semidefinite programming
Kuepfer, Lars
Background: Current approaches to parameter estimation are often inappropriate or inconvenient for the modelling of complex biological systems. For systems described by nonlinear equations, the conventional approach is to ...
Evaluation of Thermal Evolution Profiles and Estimation of Kinetic...
Office of Scientific and Technical Information (OSTI)
Evaluation of Thermal Evolution Profiles and Estimation of Kinetic Parameters for Pyrolysis of CoalCorn Stover Blends Using Thermogravimetric Analysis Citation Details...
Whitaker, M.; Heath, G. A.; O'Donoughue, P.; Vorum, M.
2012-04-01
This systematic review and harmonization of life cycle assessments (LCAs) of utility-scale coal-fired electricity generation systems focuses on reducing variability and clarifying central tendencies in estimates of life cycle greenhouse gas (GHG) emissions. Screening 270 references for quality LCA methods, transparency, and completeness yielded 53 that reported 164 estimates of life cycle GHG emissions. These estimates for subcritical pulverized, integrated gasification combined cycle, fluidized bed, and supercritical pulverized coal combustion technologies vary from 675 to 1,689 grams CO{sub 2}-equivalent per kilowatt-hour (g CO{sub 2}-eq/kWh) (interquartile range [IQR]= 890-1,130 g CO{sub 2}-eq/kWh; median = 1,001) leading to confusion over reasonable estimates of life cycle GHG emissions from coal-fired electricity generation. By adjusting published estimates to common gross system boundaries and consistent values for key operational input parameters (most importantly, combustion carbon dioxide emission factor [CEF]), the meta-analytical process called harmonization clarifies the existing literature in ways useful for decision makers and analysts by significantly reducing the variability of estimates ({approx}53% in IQR magnitude) while maintaining a nearly constant central tendency ({approx}2.2% in median). Life cycle GHG emissions of a specific power plant depend on many factors and can differ from the generic estimates generated by the harmonization approach, but the tightness of distribution of harmonized estimates across several key coal combustion technologies implies, for some purposes, first-order estimates of life cycle GHG emissions could be based on knowledge of the technology type, coal mine emissions, thermal efficiency, and CEF alone without requiring full LCAs. Areas where new research is necessary to ensure accuracy are also discussed.
Next Generation Radioisotope Generators | Department of Energy
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Generators Next Generation Radioisotope Generators Advanced Stirling Radioisotope Generator (ASRG) - The ASRG is currently being developed as a high-efficiency RPS technology...
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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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque|SensitiveAprilPhoton Source Parameters Storage Ring Parameters
Fracture compliance estimation using borehole tube waves
Bakku, Sudhish Kumar
We tested two models, one for tube-wave generation and the other for tube-wave attenuation at a fracture intersecting a borehole that can be used to estimate fracture compliance, fracture aperture, and lateral extent. In ...
Cost and Performance Assumptions for Modeling Electricity Generation Technologies
Tidball, R.; Bluestein, J.; Rodriguez, N.; Knoke, S.
2010-11-01
The goal of this project was to compare and contrast utility scale power plant characteristics used in data sets that support energy market models. Characteristics include both technology cost and technology performance projections to the year 2050. Cost parameters include installed capital costs and operation and maintenance (O&M) costs. Performance parameters include plant size, heat rate, capacity factor or availability factor, and plant lifetime. Conventional, renewable, and emerging electricity generating technologies were considered. Six data sets, each associated with a different model, were selected. Two of the data sets represent modeled results, not direct model inputs. These two data sets include cost and performance improvements that result from increased deployment as well as resulting capacity factors estimated from particular model runs; other data sets represent model input data. For the technologies contained in each data set, the levelized cost of energy (LCOE) was also evaluated, according to published cost, performance, and fuel assumptions.
UPRE method for total variation parameter selection
Wohlberg, Brendt [Los Alamos National Laboratory; Lin, Youzuo [Los Alamos National Laboratory
2008-01-01
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.
Continuous simulation of hypothetical physics processes with multiple free parameters
Jiahang Zhong; Run-Sheng Huang; Shih-Chang Lee
2012-05-31
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.
Parameters’ Covariance in Neutron Time of Flight Analysis – Explicit Formulae
Odyniec, M.; Blair, J.
2014-12-01
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.
Parameterizing the Deceleration Parameter
Diego Pavón; Ivan Duran; Sergio del Campo; Ramón Herrera
2012-12-31
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.
Method for estimating processability of a hydrocarbon-containing feedstock for hydroprocessing
Schabron, John F; Rovani, Jr., Joseph F
2014-01-14
Disclosed herein is a method involving the steps of (a) precipitating an amount of asphaltenes from a liquid sample of a first hydrocarbon-containing feedstock having solvated asphaltenes therein with one or more first solvents in a column; (b) determining one or more solubility characteristics of the precipitated asphaltenes; (c) analyzing the one or more solubility characteristics of the precipitated asphaltenes; and (d) correlating a measurement of feedstock reactivity for the first hydrocarbon-containing feedstock sample with a mathematical parameter derived from the results of analyzing the one or more solubility characteristics of the precipitates asphaltenes. Determined parameters and processabilities for a plurality of feedstocks can be used to generate a mathematical relationship between parameter and processability; this relationship can be used to estimate the processability for hydroprocessing for a feedstock of unknown processability.
Ridge Regression Estimation Approach to Measurement Error Model
Shalabh
Ridge Regression Estimation Approach to Measurement Error Model A.K.Md. Ehsanes Saleh Carleton of the regression parameters is ill conditioned. We consider the Hoerl and Kennard type (1970) ridge regression (RR) modifications of the five quasi- empirical Bayes estimators of the regression parameters of a measurement error
Wind field estimation for autonomous dynamic soaring Jack W. Langelaan
Spletzer, John R.
Wind field estimation for autonomous dynamic soaring Jack W. Langelaan Aerospace Engineering, Penn for distributed parameter estimation of a previously unknown wind field is described. The application is dynamic parameterization of the wind field is used, allowing implementation of a linear Kalman filter for parameter
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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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque|SensitiveAprilPhoton Source Parameters Storage Ring
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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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effect Photovoltaics -7541C.3X-rays3 Prepared by:'!TransportStorage Ring Parameters
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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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeeding access| DepartmentPeerFederal FleetUp in thePhoton Source Parameters
Srinivasan-Rao, Triveni (Shoreham, NY)
2002-01-01
A photon generator includes an electron gun for emitting an electron beam, a laser for emitting a laser beam, and an interaction ring wherein the laser beam repetitively collides with the electron beam for emitting a high energy photon beam therefrom in the exemplary form of x-rays. The interaction ring is a closed loop, sized and configured for circulating the electron beam with a period substantially equal to the period of the laser beam pulses for effecting repetitive collisions.
Donchev, Todor I. (Urbana, IL); Petrov, Ivan G. (Champaign, IL)
2011-05-31
Described herein is an apparatus and a method for producing atom clusters based on a gas discharge within a hollow cathode. The hollow cathode includes one or more walls. The one or more walls define a sputtering chamber within the hollow cathode and include a material to be sputtered. A hollow anode is positioned at an end of the sputtering chamber, and atom clusters are formed when a gas discharge is generated between the hollow anode and the hollow cathode.
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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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygen Generation | Center for Gas SeparationsRelevant toPhoton
Foster, Jr., John S. (Pleasanton, CA); Wilson, James R. (Livermore, CA); McDonald, Jr., Charles A. (Danville, CA)
1983-01-01
1. In an electrical energy generator, the combination comprising a first elongated annular electrical current conductor having at least one bare surface extending longitudinally and facing radially inwards therein, a second elongated annular electrical current conductor disposed coaxially within said first conductor and having an outer bare surface area extending longitudinally and facing said bare surface of said first conductor, the contiguous coaxial areas of said first and second conductors defining an inductive element, means for applying an electrical current to at least one of said conductors for generating a magnetic field encompassing said inductive element, and explosive charge means disposed concentrically with respect to said conductors including at least the area of said inductive element, said explosive charge means including means disposed to initiate an explosive wave front in said explosive advancing longitudinally along said inductive element, said wave front being effective to progressively deform at least one of said conductors to bring said bare surfaces thereof into electrically conductive contact to progressively reduce the inductance of the inductive element defined by said conductors and transferring explosive energy to said magnetic field effective to generate an electrical potential between undeformed portions of said conductors ahead of said explosive wave front.
How EIA Estimates Natural Gas Production
Reports and Publications (EIA)
2004-01-01
The Energy Information Administration (EIA) publishes estimates monthly and annually of the production of natural gas in the United States. The estimates are based on data EIA collects from gas producing states and data collected by the U. S. Minerals Management Service (MMS) in the Department of Interior. The states and MMS collect this information from producers of natural gas for various reasons, most often for revenue purposes. Because the information is not sufficiently complete or timely for inclusion in EIA's Natural Gas Monthly (NGM), EIA has developed estimation methodologies to generate monthly production estimates that are described in this document.
EIGHT CHANNEL PROGRAMMABLE PULSE GENERATOR
Kleinfeld, David
Master-8 EIGHT CHANNEL PROGRAMMABLE PULSE GENERATOR Operation Manual A.M.P.I. A.M.P.I. 123Uzlel St and the programming simple and easy to learn. Master-8 is an attractive unit and you will enjoy working with its eight -- Modes of operation 11 -- Setting the parameters 13 -- Triggering 14 -- Eight stored paradigms 14
Distributed Node Selection for Sequential Estimation over Noisy Communication Channels
Jayaweera, Sudharman K.
Wimalajeewa and Sudharman K. Jayaweera Dept. of Electrical and Computer Engineering University of New Mexico corrupted estimator from the previous node. Since all nodes in the network may not carry useful information estimation problem, the required parameter is to be estimated based on noise corrupted observations at local
O'Shay, Justin
2012-07-16
. Estimates of the energy released during a tsunamigenic earthquake and respective tsunami wave draw a clear picture of the efficiency of the tsunami-generating process. However for submarine landslides, this is not as straightforward because the generation...
Determination of useful performance parameters for the ALR8(SI) plutonium pit container system
Pierce, Mark Alan
2000-01-01
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 ...
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
Quality Assurance Project Plan for the Gas Generation Testing Program at the INEL
NONE
1994-10-01
The data quality objectives (DQOs) for the Program are to evaluate compliance with the limits on total gas generation rates, establish the concentrations of hydrogen and methane in the total gas flow, determine the headspace concentration of VOCs in each drum prior to the start of the test, and obtain estimates of the concentrations of several compounds for mass balance purposes. Criteria for the selection of waste containers at the INEL and the parameters that must be characterized prior to and during the tests are described. Collection of gaseous samples from 55-gallon drums of contact-handled transuranic waste for the gas generation testing is discussed. Analytical methods and calibrations are summarized. Administrative quality control measures described in this QAPjP include the generation, review, and approval of project documentation; control and retention of records; measures to ensure that personnel, subcontractors or vendors, and equipment meet the specifications necessary to achieve the required data quality for the project.
Minimizing electricity costs with an auxiliary generator using stochastic programming
Rafiuly, Paul, 1976-
2000-01-01
This thesis addresses the problem of minimizing a facility's electricity costs by generating optimal responses using an auxiliary generator as the parameter of the control systems. The-goal of the thesis is to find an ...
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
This chapter focuses on the components (or elements) of the cost estimation package and their documentation.
Heat engine generator control system
Rajashekara, Kaushik (Carmel, IN); Gorti, Bhanuprasad Venkata (Towson, MD); McMullen, Steven Robert (Anderson, IN); Raibert, Robert Joseph (Fishers, IN)
1998-01-01
An electrical power generation system includes a heat engine having an output member operatively coupled to the rotor of a dynamoelectric machine. System output power is controlled by varying an electrical parameter of the dynamoelectric machine. A power request signal is related to an engine speed and the electrical parameter is varied in accordance with a speed control loop. Initially, the sense of change in the electrical parameter in response to a change in the power request signal is opposite that required to effectuate a steady state output power consistent with the power request signal. Thereafter, the electrical parameter is varied to converge the output member speed to the speed known to be associated with the desired electrical output power.
Heat engine generator control system
Rajashekara, K.; Gorti, B.V.; McMullen, S.R.; Raibert, R.J.
1998-05-12
An electrical power generation system includes a heat engine having an output member operatively coupled to the rotor of a dynamoelectric machine. System output power is controlled by varying an electrical parameter of the dynamoelectric machine. A power request signal is related to an engine speed and the electrical parameter is varied in accordance with a speed control loop. Initially, the sense of change in the electrical parameter in response to a change in the power request signal is opposite that required to effectuate a steady state output power consistent with the power request signal. Thereafter, the electrical parameter is varied to converge the output member speed to the speed known to be associated with the desired electrical output power. 8 figs.
LUNAR SOIL SIMULATION TRAFFICABILITY PARAMETERS
Rathbun, Julie A.
LUNAR SOIL SIMULATION and TRAFFICABILITY PARAMETERS by W. David Carrier, III Lunar Geotechnical.0 RECOMMENDED LUNAR SOIL TRAFFICABILITY PARAMETERS Table 9.14 in the Lunar Sourcebook (Carrier et al. 1991, p. 529) lists the current recommended lunar soil trafficability parameters: bc = 0.017 N/cm2 bN = 35° K
Preliminary relative permeability estimates of methanehydrate-bearing sand
Seol, Yongkoo; Kneafsey, Timothy J.; Tomutsa, Liviu; Moridis,George J.
2006-05-08
The relative permeability to fluids in hydrate-bearing sediments is an important parameter for predicting natural gas production from gas hydrate reservoirs. We estimated the relative permeability parameters (van Genuchten alpha and m) in a hydrate-bearing sand by means of inverse modeling, which involved matching water saturation predictions with observations from a controlled waterflood experiment. We used x-ray computed tomography (CT) scanning to determine both the porosity and the hydrate and aqueous phase saturation distributions in the samples. X-ray CT images showed that hydrate and aqueous phase saturations are non-uniform, and that water flow focuses in regions of lower hydrate saturation. The relative permeability parameters were estimated at two locations in each sample. Differences between the estimated parameter sets at the two locations were attributed to heterogeneity in the hydrate saturation. Better estimates of the relative permeability parameters require further refinement of the experimental design, and better description of heterogeneity in the numerical inversions.
Once-through steam-generator sensitivity calculations
Steiner, J.L.; Siebe, D.A.
1988-01-01
A series of TRAC-PF1/MOD2 thermal-hydraulic calculations has been performed to determine the effect of uncertainties in modeling once through steam-generator (OTSG) secondary-side phenomena on the calculated behavior of Babcock and Wilcox power plants. The calculations were performed by varying parameters in correlations for the secondary-side phenomena. The parameters and transients were chosen to show the maximum expected sensitivity of the calculated results to the parameter variations. The parameters were then varied over a range representing the estimated uncertainty in the correlation. In this manner, the sensitivity if the calculated plant behavior to the modeling uncertainties was determined with a reasonable number of calculations. The sensitivity of calculated plant behavior to variations in interfacial heat-transfer in the OTSG secondaries was determined in a series of steam-generator overfill transient calculations. Calculations were performed for a main steam line break (MSLB) transient to quantify the sensitivity to variations in interfacial drag in the secondaries; the interfacial drag was varied in these calculations to indicate the effects of entrainment and de-entrainment processes, for which no specific models exist in the code. In addition to the transient calculations, a series of steady-state calculations was performed to determine the sensitivity of the OTSG primary-to-secondary heat transfer to the assumed fraction of tubes wetted by the auxiliary feedwater (AFW) injection. The plant model used for the sensitivity calculations was qualified by performing a benchmark calculation for a natural circulation test in the TMI-1 plant.
Subsurface Geotechnical Parameters Report
D. Rigby; M. Mrugala; G. Shideler; T. Davidsavor; J. Leem; D. Buesch; Y. Sun; D. Potyondy; M. Christianson
2003-12-17
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.
Check Estimates and Independent Costs
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
Check estimates and independent cost estimates (ICEs) are tools that can be used to validate a cost estimate. Estimate validation entails an objective review of the estimate to ensure that estimate criteria and requirements have been met and well documented, defensible estimate has been developed. This chapter describes check estimates and their procedures and various types of independent cost estimates.
Laplante, P.A. [Center for Nuclear Waste Regulatory Analyses, Rockville, MD (United States); Maheras, S.J. [Maheras (S.J.), Idaho Falls, ID (United States); Jarzemba, M.S. [Center for Nuclear Waste Regulatory Analyses, San Antonio, TX (United States)
1996-08-01
To develop capabilities for compliance determination, the Nuclear Regulatory Commission (NRC) conducts total system performance assessment (TSPA) for the proposed repository at Yucca Mountain (YM) in an iterative manner. Because the new Environmental Protection Agency (EPA) standard for YM may set a dose or risk limit, an auxiliary study was conducted to develop estimates of site-specific dose assessment parameters for future TSPAS. YM site-relevant data was obtained for irrigation, agriculture, resuspension, crop interception, and soil. A Monte Carlo based importance analysis was used to identify predominant parameters for the groundwater pathway. In this analysis, the GENII-S code generated individual annual total effective dose equivalents (TEDEs) for 20 nuclides and 43 sampled parameters based upon unit groundwater concentrations. Scatter plots and correlation results indicate the crop interception fraction, food transfer factors, consumption rates, and irrigation rate are correlated with TEDEs for specific nuclides. Influential parameter groups correspond to expected pathway readily to plants, such as {sup 99}Tc, indicate crop ingestion pathway parameters are most highly correlated with the TEDE, and those that transfer to milk ({sup 59}Ni) or beef ({sup 79}Se, {sup 129}I, {sup 135}Cs, {sup 137}Cs) show predominant correlations with animal product ingestion pathway parameters. Such relationships provide useful insight to important parameters and exposure pathways applicable to doses from specific nuclides.
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.
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
2015-01-29
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.
Indonesia Power Generation Capacity is Estimated to Reach 90...
overview of these companies, followed by their financial overview, business strategies, technical performance analysis, operational standards, and awards and achievements. The...
Simplified Approach for Estimating Impacts of Electricity Generation...
Forestry Topics: Co-benefits assessment, - Environmental and Biodiversity, - Health Resource Type: Softwaremodeling tools ComplexityEase of Use: Advanced Website:...
Simplified Approach for Estimating Impacts of Electricity Generation
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 QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS ReportEurope GmbH Jump to: navigation,ShowSikesSilvanSimbol(SIMPACTS)
Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants
Gasoline and Diesel Fuel Update (EIA)
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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal Consumers inYear JanSales Type:Feet)3FullUpdated
Does Geometric Coupling Generates Resonances?
I. C. Jardim; G. Alencar; R. R. Landim; R. N. Costa Filho
2015-05-08
Geometrical coupling in a co-dimensional one Randall-Sundrum scenario (RS) is used to study resonances of $p-$form fields. The resonances are calculated using the transfer matrix method. The model studied consider the standard RS with delta-like branes, and branes generated by kinks and domain-wall as well. The parameters are changed to control the thickness of the smooth brane. With this a very interesting pattern is found for the resonances. The geometrical coupling does not generate resonances for the reduced $p-$form in all cases considered.
Varghese, Joshua
2011-08-02
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...
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
The chapter describes the estimates required on government-managed projects for both general construction and environmental management.
Generators, Recursion, and Fractals 1 Generators
Verschelde, Jan
Generators, Recursion, and Fractals 1 Generators computing a list of Fibonacci numbers defining a generator with yield putting yield in the function fib 2 Recursive Functions computing factorials, 24 April 2015 Intro to Computer Science (MCS 260) generators and recursion L-41 24 April 2015 1 / 36
Resummed $C$-Parameter Distribution in $e^+e^-$ Annihilation
S. Catani; B. R. Webber
1998-01-19
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.
Efficient Semiparametric Estimators for Biological, Genetic, and Measurement Error Applications
Garcia, Tanya
2012-10-19
Many statistical models, like measurement error models, a general class of survival models, and a mixture data model with random censoring, are semiparametric where interest lies in estimating finite-dimensional parameters ...
A conceptual model to estimate the nitrogen requirement of corn (Zea mays L.)
Lopez Collado, Catalino Jorge
2007-04-25
The objectives of this work were to evaluate the vegetative parameters used to estimate crop N demand and to estimate the accuracy and precision of the conceptual model of fertilization using an error propagation method. ...
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)
2014-11-20
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.
Understanding and Managing Generation Y
Wallace, Kevin
2007-12-14
There are four generations in the workplace today; they consist of the Silent Generation, Baby Boom Generation, Generation X, and Generation Y. Generation Y, being the newest generation, is the least understood generation although marketers...
Sensitivity of health risk estimates to air quality adjustment procedure
Whitfield, R.G.
1997-06-30
This letter is a summary of risk results associated with exposure estimates using two-parameter Weibull and quadratic air quality adjustment procedures (AQAPs). New exposure estimates were developed for children and child-occurrences, six urban areas, and five alternative air quality scenarios. In all cases, the Weibull and quadratic results are compared to previous results, which are based on a proportional AQAP.
Using Utility Load Data to Estimate Demand for Space Cooling and Potential for Shiftable Loads
Denholm, P.; Ong, S.; Booten, C.
2012-05-01
This paper describes a simple method to estimate hourly cooling demand from historical utility load data. It compares total hourly demand to demand on cool days and compares these estimates of total cooling demand to previous regional and national estimates. Load profiles generated from this method may be used to estimate the potential for aggregated demand response or load shifting via cold storage.
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)
2014-10-01
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.
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
Specialty costs are those nonstandard, unusual costs that are not typically estimated. Costs for research and development (R&D) projects involving new technologies, costs associated with future regulations, and specialty equipment costs are examples of specialty costs. This chapter discusses those factors that are significant contributors to project specialty costs and methods of estimating costs for specialty projects.
Distributed Road Grade Estimation
Johansson, Karl Henrik
Distributed Road Grade Estimation for Heavy Duty Vehicles PER SAH LHOLM Doctoral Thesis in Automatic Control Stockholm, Sweden 2011 #12;Distributed Road Grade Estimation for Heavy Duty Vehicles PER state-of-charge control decrease the energy consumption of vehicles and increase the safety
SPACE TECHNOLOGY Actual Estimate
technology readiness of new missions, mitigate their technological risks, improve the quality of cost estimates, and thereby contribute to better overall mission cost management..." Space Technology investmentsSPACE TECHNOLOGY TECH-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY
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)
2014-09-01
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.
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
El-Halwagi, Ali
2012-05-03
City may be different than those in lesser-developed regions like Thailand. Estimation of model parameters provides us insight into the driving forces affecting the spread of the disease. _______________ This thesis follows the style of Chemical...
Cosmological parameters and the WMAP data
Antony Lewis
2003-10-07
I discuss whether the standard cosmological models fit the WMAP data well enough to justify parameter estimation with standard assumptions. The observed quadrupole is low (but has significant foreground uncertainty) and drives weak evidence for theoretical models predicting low values, such as models with a running spectral index. Other more seriously outlying points of the WMAP power spectrum appear not to fit the expectations of simple Gaussian models very well. The effective temperature chi-squared is however acceptable on large scales. There also appears to be evidence for an anisotropic distribution of power, which taken together with the other points may indicate that either there is a problem with the WMAP data or that standard cosmological models are incorrect. These issues should be clarified before cosmological parameter extraction for the usual standard models can be trusted, and hint that maybe the CMB is more interesting than we imagined. I also discuss various systematic and analysis issues, and comment on various oddities in the publicly available first year WMAP data and code.
SARC Power Estimation Methodology Daniele Ludovici and Georgi N. Gaydadjiev
. Accurate estimation of power dis- sipation is very important during micro-architectural de- sign of every power consumption of the SARC architecture. SARC project is targeting next generation scalable com is one of the main challenges of this project. Therefore, adequate methodology to estimate it is needed
Generation gaps in engineering?
Kim, David J. (David Jinwoo)
2008-01-01
There is much enthusiastic debate on the topic of generation gaps in the workplace today; what the generational differences are, how to address the apparent challenges, and if the generations themselves are even real. ...
The Lepton Sector of a Fourth Generation
Gustavo Burdman; Leandro Da Rold; Ricardo D. Matheus
2010-05-10
In extensions of the standard model with a heavy fourth generation one important question is what makes the fourth-generation lepton sector, particularly the neutrinos, so different from the lighter three generations. We study this question in the context of models of electroweak symmetry breaking in warped extra dimensions, where the flavor hierarchy is generated by the localization of the zero-mode fermions in the extra dimension. In this setup the Higgs sector is localized near the infrared brane, whereas the Majorana mass term is localized at the ultraviolet brane. As a result, light neutrinos are almost entirely Majorana particles, whereas the fourth generation neutrino is mostly a Dirac fermion. We show that it is possible to obtain heavy fourth-generation leptons in regions of parameter space where the light neutrino masses and mixings are compatible with observation. We study the impact of these bounds, as well as the ones from lepton flavor violation, on the phenomenology of these models.
Estimating carbon dioxide emissions factors for the California electric power sector
Marnay, Chris; Fisher, Diane; Murtishaw, Scott; Phadke, Amol; Price, Lynn; Sathaye, Jayant
2002-01-01
U.S. EPA. 2000. Carbon Dioxide Emissions from the Generationfor Estimating Carbon Dioxide Emissions from Combustion ofUS EPA), 2000. “Carbon Dioxide Emissions from the Generation
Robustness analysis of linear estimators
Tayade, Rajeshwary
2004-09-30
. Conditional Maximum Likelihood, i.e. given that the conditional probability function p(yjx) is known, find x such that p(y0jx) is maximum for a particular observation y0. Thus we can have estimators that minimize the average cost, or minimizes the max- imum... as the particle moves from t0 to t is given by s = Z t t0 jx0(t)jdt (2.2) Here we have an expression for s as a function of t : s = f(t). To show that s is a regular parameter, we note that this function is also analytic. Differentiating equation 2.2 we have, ds...
Building unbiased estimators from non-Gaussian likelihoods with application to shear estimation
Madhavacheril, Mathew S.; Sehgal, Neelima; McDonald, Patrick; Slosar, Anže E-mail: pvmcdonald@lbl.gov E-mail: anze@bnl.gov
2015-01-01
We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the work of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrong's estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g|=0.2.
Building unbiased estimators from non-gaussian likelihoods with application to shear estimation
Madhavacheril, Mathew S.; Slosar, Anze; McDonald, Patrick; Sehgal, Neelima
2015-01-01
We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the work of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrong’s estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g| = 0.2.
Building unbiased estimators from non-gaussian likelihoods with application to shear estimation
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Madhavacheril, Mathew S.; McDonald, Patrick; Sehgal, Neelima; Slosar, Anze
2015-01-15
We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the workmore »of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrong’s estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g| = 0.2.« less
Small Generator Aggregation (Maine)
Broader source: Energy.gov [DOE]
This section establishes requirements for electricity providers to purchase electricity from small generators, with the goal of ensuring that small electricity generators (those with a nameplate...
GEOTHERMAL POWER GENERATION PLANT
Boyd, Tonya
2013-12-01
Oregon Institute of Technology (OIT) drilled a deep geothermal well on campus (to 5,300 feet deep) which produced 196oF resource as part of the 2008 OIT Congressionally Directed Project. OIT will construct a geothermal power plant (estimated at 1.75 MWe gross output). The plant would provide 50 to 75 percent of the electricity demand on campus. Technical support for construction and operations will be provided by OIT’s Geo-Heat Center. The power plant will be housed adjacent to the existing heat exchange building on the south east corner of campus near the existing geothermal production wells used for heating campus. Cooling water will be supplied from the nearby cold water wells to a cooling tower or air cooling may be used, depending upon the type of plant selected. Using the flow obtained from the deep well, not only can energy be generated from the power plant, but the “waste” water will also be used to supplement space heating on campus. A pipeline will be construction from the well to the heat exchanger building, and then a discharge line will be construction around the east and north side of campus for anticipated use of the “waste” water by facilities in an adjacent sustainable energy park. An injection well will need to be drilled to handle the flow, as the campus existing injection wells are limited in capacity.
Tools for event generator tuning and validation
Andy Buckley
2008-09-26
I describe the current status of MCnet tools for validating the performance of event generator simulations against data, and for tuning their phenomenological free parameters. For validation, the Rivet toolkit is now a mature and complete system, with a large library of prominent benchmark analyses. For tuning, the Professor system has recently completed its first tunes of Pythia 6, with substantial improvements on the existing default tune and potential to greatly aid the setup of new generators for LHC studies.
Estimating vehicle height using homographic projections
Cunningham, Mark F; Fabris, Lorenzo; Gee, Timothy F; Ghebretati, Jr., Frezghi H; Goddard, James S; Karnowski, Thomas P; Ziock, Klaus-peter
2013-07-16
Multiple homography transformations corresponding to different heights are generated in the field of view. A group of salient points within a common estimated height range is identified in a time series of video images of a moving object. Inter-salient point distances are measured for the group of salient points under the multiple homography transformations corresponding to the different heights. Variations in the inter-salient point distances under the multiple homography transformations are compared. The height of the group of salient points is estimated to be the height corresponding to the homography transformation that minimizes the variations.
2007 Estimated International Energy Flows
Smith, C A; Belles, R D; Simon, A J
2011-03-10
An energy flow chart or 'atlas' for 136 countries has been constructed from data maintained by the International Energy Agency (IEA) and estimates of energy use patterns for the year 2007. Approximately 490 exajoules (460 quadrillion BTU) of primary energy are used in aggregate by these countries each year. While the basic structure of the energy system is consistent from country to country, patterns of resource use and consumption vary. Energy can be visualized as it flows from resources (i.e. coal, petroleum, natural gas) through transformations such as electricity generation to end uses (i.e. residential, commercial, industrial, transportation). These flow patterns are visualized in this atlas of 136 country-level energy flow charts.
Confidence belts on bounded parameters
J. Bouchez
2000-01-13
We show that the unified method recently proposed by Feldman and Cousins to put confidence intervals on bounded parameters cannot avoid the possibility of getting null results. A modified bayesian approach is also proposed (although not advocated) which ensures no null results and proper coverage.
Observational constraints and cosmological parameters
Antony Lewis
2006-04-02
I discuss the extraction of cosmological parameter constraints from the recent WMAP 3-year data, both on its own and in combination with other data. The large degeneracies in the first year data can be largely broken with the third year data, giving much better parameter constraints from WMAP alone. The polarization constraint on the optical depth is crucial to obtain the main results, including n_s < 1 in basic six-parameter models. Almost identical constraints can also be obtained using only temperature data with a prior on the optical depth. I discuss the modelling of secondaries when extracting parameter constraints, and show that the effect of CMB lensing is about as important as SZ and slightly increases the inferred value of the spectral index. Constraints on correlated matter isocurvature modes are not radically better than before, and the data is consistent with a purely adiabatic spectrum. Combining WMAP 3-year data with data from the Lyman-alpha forest suggests somewhat higher values for sigma_8 than from WMAP alone.
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
2011-05-09
This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates. No cancellations.
Estimated recharge rates at the Hanford Site
Fayer, M.J.; Walters, T.B.
1995-02-01
The Ground-Water Surveillance Project monitors the distribution of contaminants in ground water at the Hanford Site for the U.S. Department of Energy. A subtask called {open_quotes}Water Budget at Hanford{close_quotes} was initiated in FY 1994. The objective of this subtask was to produce a defensible map of estimated recharge rates across the Hanford Site. Methods that have been used to estimate recharge rates at the Hanford Site include measurements (of drainage, water contents, and tracers) and computer modeling. For the simulations of 12 soil-vegetation combinations, the annual rates varied from 0.05 mm/yr for the Ephrata sandy loam with bunchgrass to 85.2 mm/yr for the same soil without vegetation. Water content data from the Grass Site in the 300 Area indicated that annual rates varied from 3.0 to 143.5 mm/yr during an 8-year period. The annual volume of estimated recharge was calculated to be 8.47 {times} 10{sup 9} L for the potential future Hanford Site (i.e., the portion of the current Site bounded by Highway 240 and the Columbia River). This total volume is similar to earlier estimates of natural recharge and is 2 to 10x higher than estimates of runoff and ground-water flow from higher elevations. Not only is the volume of natural recharge significant in comparison to other ground-water inputs, the distribution of estimated recharge is highly skewed to the disturbed sandy soils (i.e., the 200 Areas, where most contaminants originate). The lack of good estimates of the means and variances of the supporting data (i.e., the soil map, the vegetation/land use map, the model parameters) translates into large uncertainties in the recharge estimates. When combined, the significant quantity of estimated recharge, its high sensitivity to disturbance, and the unquantified uncertainty of the data and model parameters suggest that the defensibility of the recharge estimates should be improved.
Estimating exposure of terrestrial wildlife to contaminants
Sample, B.E.; Suter, G.W. II
1994-09-01
This report describes generalized models for the estimation of contaminant exposure experienced by wildlife on the Oak Ridge Reservation. The primary exposure pathway considered is oral ingestion, e.g. the consumption of contaminated food, water, or soil. Exposure through dermal absorption and inhalation are special cases and are not considered hereIN. Because wildlife mobile and generally consume diverse diets and because environmental contamination is not spatial homogeneous, factors to account for variation in diet, movement, and contaminant distribution have been incorporated into the models. To facilitate the use and application of the models, life history parameters necessary to estimate exposure are summarized for 15 common wildlife species. Finally, to display the application of the models, exposure estimates were calculated for four species using data from a source operable unit on the Oak Ridge Reservation.
Firestone, Richard B; Reijonen, Jani
2014-05-27
An embodiment of a gamma ray generator includes a neutron generator and a moderator. The moderator is coupled to the neutron generator. The moderator includes a neutron capture material. In operation, the neutron generator produces neutrons and the neutron capture material captures at least some of the neutrons to produces gamma rays. An application of the gamma ray generator is as a source of gamma rays for calibration of gamma ray detectors.
Generation to Generation: The Heart of Family Medicine
Winter, Robin O
2012-01-01
Ageism in the Workplace. Generations Spring, 5. Westman,of caring for multiple generations simultaneously. StronglyGeneration to Generation: The Heart of Family Medicine
Cost trajectories of low carbon electricity generation technologies: A study of cost uncertainty
Levi, Peter; Pollitt, Michael
2015-08-03
for three important electricity generation technologies for the UK; nuclear, offshore wind and coal with carbon capture and storage. The first analysis composes LCOE estimate trajectories from previous years' DECC estimates and presents them alongside...
Neutron Resonance Parameters and Covariance Matrix of 239Pu
Derrien, Herve; Leal, Luiz C; Larson, Nancy M
2008-08-01
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.
State energy data report 1996: Consumption estimates
1999-02-01
The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.
Leung, Ka-Ngo (Hercules, CA)
2009-12-29
A cylindrical neutron generator is formed with a coaxial RF-driven plasma ion source and target. A deuterium (or deuterium and tritium) plasma is produced by RF excitation in a cylindrical plasma ion generator using an RF antenna. A cylindrical neutron generating target is coaxial with the ion generator, separated by plasma and extraction electrodes which contain many slots. The plasma generator emanates ions radially over 360.degree. and the cylindrical target is thus irradiated by ions over its entire circumference. The plasma generator and target may be as long as desired. The plasma generator may be in the center and the neutron target on the outside, or the plasma generator may be on the outside and the target on the inside. In a nested configuration, several concentric targets and plasma generating regions are nested to increase the neutron flux.
Leung, Ka-Ngo (Hercules, CA)
2008-04-22
A cylindrical neutron generator is formed with a coaxial RF-driven plasma ion source and target. A deuterium (or deuterium and tritium) plasma is produced by RF excitation in a cylindrical plasma ion generator using an RF antenna. A cylindrical neutron generating target is coaxial with the ion generator, separated by plasma and extraction electrodes which contain many slots. The plasma generator emanates ions radially over 360.degree. and the cylindrical target is thus irradiated by ions over its entire circumference. The plasma generator and target may be as long as desired. The plasma generator may be in the center and the neutron target on the outside, or the plasma generator may be on the outside and the target on the inside. In a nested configuration, several concentric targets and plasma generating regions are nested to increase the neutron flux.
Leung, Ka-Ngo
2005-06-14
A cylindrical neutron generator is formed with a coaxial RF-driven plasma ion source and target. A deuterium (or deuterium and tritium) plasma is produced by RF excitation in a cylindrical plasma ion generator using an RF antenna. A cylindrical neutron generating target is coaxial with the ion generator, separated by plasma and extraction electrodes which contain many slots. The plasma generator emanates ions radially over 360.degree. and the cylindrical target is thus irradiated by ions over its entire circumference. The plasma generator and target may be as long as desired. The plasma generator may be in the center and the neutron target on the outside, or the plasma generator may be on the outside and the target on the inside. In a nested configuration, several concentric targets and plasma generating regions are nested to increase the neutron flux.
Pieve La Rosa, Andres Eduardo
2011-08-08
such as closure stress, and temperature and fracture fluid parameters such as proppant loading over the final conductivity of a hydraulic fracture treatment. With the purpose of estimating the relation between fracture conductivity and the design parameters, two...
Cosmological parameters from lensing power spectrum and bispectrum tomography
Masahiro Takada; Bhuvnesh Jain
2005-07-20
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.
Identification of slow molecular order parameters for Markov model construction
Perez-Hernandez, Guillermo; Giorgino, Toni; de Fabritiis, Gianni; Noé, Frank
2013-01-01
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...
H Filtering with Inequality Constraints for Aircraft Turbofan Engine Health Estimation
Simon, Dan
shows how inequality-constrained H filtering can be applied to aircraft engine health estimation the inequality-constrained H filter can be reduced to a standard H filter combined with a quadratic programming health parameter estimation. This paper applies inequality-constrained H filtering to estimate aircraft
Al-Naffouri, Tareq Y.
sub-Nyquist symbol-rate sampling but are not optimal for parameter estimation and do not utilize any to estimate the MPCs of a UWB transmitted pulse with Nyquist rate sampling. Symbol-long samples are used] the authors estimate the channel's Fourier co-efficients and use them to estimate the MPCs delays. Finite Rate
Stanley, B.J.; Guiochon, G. |
1993-08-01
The expectation-maximization (EM) method of parameter estimation is used to calculate adsorption energy distributions of molecular probes from their adsorption isotherms. EM does not require prior knowledge of the distribution function or the isotherm, requires no smoothing of the isotherm data, and converges with high stability towards the maximum-likelihood estimate. The method is therefore robust and accurate at high iteration numbers. The EM algorithm is tested with simulated energy distributions corresponding to unimodal Gaussian, bimodal Gaussian, Poisson distributions, and the distributions resulting from Misra isotherms. Theoretical isotherms are generated from these distributions using the Langmuir model, and then chromatographic band profiles are computed using the ideal model of chromatography. Noise is then introduced in the theoretical band profiles comparable to those observed experimentally. The isotherm is then calculated using the elution-by-characteristic points method. The energy distribution given by the EM method is compared to the original one. Results are contrasted to those obtained with the House and Jaycock algorithm HILDA, and shown to be superior in terms of robustness, accuracy, and information theory. The effect of undersampling of the high-pressure/low-energy region of the adsorption is reported and discussed for the EM algorithm, as well as the effect of signal-to-noise ratio on the degree of heterogeneity that may be estimated experimentally.
Implementation of supersymmetric processes in the HERWIG event generator.
Moretti, Stefano; Odagiri, Kosuke; Richardson, P.; Seymour, Michael H.; Webber, Bryan R.
We describe the implementation of supersymmetric processes in the HERWIG Monte Carlo event generator. We define relevant parameter and mixing conventions and list the hard scattering matrix elements. Our implementation is based on the Minimum...
Optimizing parameters for predicting the geochemical behavior...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
parameters for predicting the geochemical behavior and performance of discrete fracture networks in geothermal systems Optimizing parameters for predicting the geochemical...
Fripp, Matthias; Wiser, Ryan
2006-01-01
generator portfolio, as well as computing resources that would make it prohibitive for estimating the capacity contribution from wind power
Evaluation of mutual information estimators on nonlinear dynamic systems
A. Papana; D. Kugiumtzis
2008-09-12
Mutual information is a nonlinear measure used in time series analysis in order to measure the linear and non-linear correlations at any lag $\\tau$. The aim of this study is to evaluate some of the most commonly used mutual information estimators, i.e. estimators based on histograms (with fixed or adaptive bin size), $k$-nearest neighbors and kernels. We assess the accuracy of the estimators by Monte-Carlo simulations on time series from nonlinear dynamical systems of varying complexity. As the true mutual information is generally unknown, we investigate the existence and rate of consistency of the estimators (convergence to a stable value with the increase of time series length), and the degree of deviation among the estimators. The results show that the $k$-nearest neighbor estimator is the most stable and less affected by the method-specific parameter.
Mercier, Matthieu J.
We present the results of a combined experimental and numerical study of the generation of internal waves using the novel internal wave generator design of Gostiaux et al. (Exp. Fluids, vol. 42, 2007, pp. 123–130). This ...
Chang, Shih-Fu
#12;#12;#12;#12;features function utility Training Pool Utility Generator Per-frame function content utility classes utility classes utility Tree Decision Generator Module Utility Clustering Adaptive
Macknick, J.; Newmark, R.; Heath, G.; Hallett, K. C.
2011-03-01
Various studies have attempted to consolidate published estimates of water use impacts of electricity generating technologies, resulting in a wide range of technologies and values based on different primary sources of literature. The goal of this work is to consolidate the various primary literature estimates of water use during the generation of electricity by conventional and renewable electricity generating technologies in the United States to more completely convey the variability and uncertainty associated with water use in electricity generating technologies.
WAPTEC: Whitebox Analysis of Web Applications for Parameter Tampering Exploit Construction
Venkatakrishnan, V.N.
WAPTEC: Whitebox Analysis of Web Applications for Parameter Tampering Exploit Construction Prithvi.N. Venkatakrishnan University of Illinois Chicago, USA venkat@cs.uic.edu Abstract Parameter tampering attacks tampering vulnerabilities and generate exploits by construction to demonstrate those vulnerabilities. WAPTEC
Generating Functions Introduction
Gould, Ron
CHAPTER 10 Ordinary Generating Functions Introduction We'll begin this chapter by introducing the notion of ordinary generating functions and discussing the basic techniques for manipulating them must master these basic ideas before reading further. In Section 2, we apply generating functions
Stuart, Steven J.
The Clemson First Generation Success Program A First-RAte expeRience College is an experience college. First-generation college students are students whose parents do not hold a degree from a four-year college or university. Clemson is proud of its first- generation students and is committed
Superconducting Power Generation
Mario Rabinowitz
2003-02-20
The superconducting ac generator has the greatest potential for large-scale commercial application of superconductivity that can benefit the public. Electric power is a vital ingredient of modern society, and generation may be considered to be the vital ingredient of a power system. This articles gives background, and an insight into the physics and engineering of superconducting power generation.
Nebel, Jean-Christophe
1 Mesh Generator Matthew Hanlon 9804817 hanlonmj@dsc.gla.ac.uk Class CS4H Session 2002 from two dimensional slices. Medical data stored as sets of slices can be used to generate a three was developed with the following requirements: Â· Load a set of slices into the system Â· Generate a mesh for each
MULTIVARIATE REGRESSION S-ESTIMATORS FOR ROBUST ESTIMATION AND INFERENCE
Van Aelst, Stefan
1 MULTIVARIATE REGRESSION S-ESTIMATORS FOR ROBUST ESTIMATION AND INFERENCE Stefan Van Aelst-estimators for multivariate regression. We study the robustness of the estimators in terms of their breakdown point and in and multivariate location and scatter. Furthermore we develop a fast and robust bootstrap method
Unbiased Robust Template Estimation
Reuter, Martin
Unbiased Robust Template Estimation for Longitudinal Analysis in FreeSurfer Compared with cross-sectional may have a profound clinical impact. The current methods that utilize cross-sectional approaches, R. & Maguire, P. & Rosas, D. & Makris, N. & Dale, A. & Dickerson, B. & Fischl, B. (2006
PHYSICAL PARAMETERS OF STANDARD AND BLOWOUT JETS
Pucci, Stefano; Romoli, Marco; Poletto, Giannina; Sterling, Alphonse C.
2013-10-10
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.
Preliminary relative permeability estimates of methanehydrate-bearing sand
Seol, Yongkoo; Kneafsey, Timothy J.; Tomutsa, Liviu; Moridis,George J.
2006-05-08
The relative permeability to fluids in hydrate-bearingsediments is an important parameter for predicting natural gas productionfrom gas hydrate reservoirs. We estimated the relative permeabilityparameters (van Genuchten alpha and m) in a hydrate-bearing sand by meansof inverse modeling, which involved matching water saturation predictionswith observations from a controlled waterflood experiment. We used x-raycomputed tomography (CT) scanning to determine both the porosity and thehydrate and aqueous phase saturation distributions in the samples. X-rayCT images showed that hydrate and aqueous phase saturations arenon-uniform, and that water flow focuses in regions of lower hydratesaturation. The relative permeability parameters were estimated at twolocations in each sample. Differences between the estimated parametersets at the two locations were attributed to heterogeneity in the hydratesaturation. Better estimates of the relative permeability parametersrequire further refinement of the experimental design, and betterdescription of heterogeneity in the numerical inversions.
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
Hickam, Christopher Dale (Glasford, IL)
2008-05-13
A motor/generator is provided for connecting between a transmission input shaft and an output shaft of a prime mover. The motor/generator may include a motor/generator housing, a stator mounted to the motor/generator housing, a rotor mounted at least partially within the motor/generator housing and rotatable about a rotor rotation axis, and a transmission-shaft coupler drivingly coupled to the rotor. The transmission-shaft coupler may include a clamp, which may include a base attached to the rotor and a plurality of adjustable jaws.
Using percolation techniques to estimate interwell connectivity probability
Li, Weiqiang
2009-06-02
results for fluid travel time between locations in a percolation model, we developed a method to estimate interwell connectivity. Three parameters are needed to use this approach: the sandbody occupied probability sand p , the dimensionless reservoir... and can estimate the interwell connectivity accurately for thin intervals with sand p in the 60% to 80% range. The proposed method requires that the reservoir interval for evaluation be sufficiently thin so that 2D percolation results can...
Fedrigo, Melissa
2009-11-26
Field measured estimates of aboveground biomass (AGB) for 15 transects in Bwindi Impenetrable National Park (BINP), Uganda were used to generate a number of prediction models for estimating aboveground biomass (AGB) over the full extent of BINP. AGB...
Use of Cost Estimating Relationships
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
Cost Estimating Relationships (CERs) are an important tool in an estimator's kit, and in many cases, they are the only tool. Thus, it is important to understand their limitations and characteristics. This chapter discusses considerations of which the estimator must be aware so the Cost Estimating Relationships can be properly used.
Computing an operating parameter of a unified power flow controller
Wilson, David G; Robinett, III, Rush D
2015-01-06
A Unified Power Flow Controller described herein comprises a sensor that outputs at least one sensed condition, a processor that receives the at least one sensed condition, a memory that comprises control logic that is executable by the processor; and power electronics that comprise power storage, wherein the processor causes the power electronics to selectively cause the power storage to act as one of a power generator or a load based at least in part upon the at least one sensed condition output by the sensor and the control logic, and wherein at least one operating parameter of the power electronics is designed to facilitate maximal transmittal of electrical power generated at a variable power generation system to a grid system while meeting power constraints set forth by the electrical power grid.
IDC RP2 & 3 US Industry Standard Cost Estimate Summary.
Harris, James M.; Huelskamp, Robert M.
2015-01-01
Sandia National Laboratories has prepared a ROM cost estimate for budgetary planning for the IDC Reengineering Phase 2 & 3 effort, using a commercial software cost estimation tool calibrated to US industry performance parameters. This is not a cost estimate for Sandia to perform the project. This report provides the ROM cost estimate and describes the methodology, assumptions, and cost model details used to create the ROM cost estimate. ROM Cost Estimate Disclaimer Contained herein is a Rough Order of Magnitude (ROM) cost estimate that has been provided to enable initial planning for this proposed project. This ROM cost estimate is submitted to facilitate informal discussions in relation to this project and is NOT intended to commit Sandia National Laboratories (Sandia) or its resources. Furthermore, as a Federally Funded Research and Development Center (FFRDC), Sandia must be compliant with the Anti-Deficiency Act and operate on a full-cost recovery basis. Therefore, while Sandia, in conjunction with the Sponsor, will use best judgment to execute work and to address the highest risks and most important issues in order to effectively manage within cost constraints, this ROM estimate and any subsequent approved cost estimates are on a 'full-cost recovery' basis. Thus, work can neither commence nor continue unless adequate funding has been accepted and certified by DOE.
Generating Coherent Patterns of Activity from Chaotic Neural Networks
Abbott, Laurence
Neuron Article Generating Coherent Patterns of Activity from Chaotic Neural Networks David Sussillo be used to alter the chaotic activity of a recurrently connected neural network and generate complex but controlled outputs. Training a neural network is a process through which network parameters (typically
C--Rand: A Package for Generating Nonuniform Random Variates
Stadlober, Ernst
parameter: Cauchy, exponential, extreme value I, Laplace, logistic, normal, slash, triangular. One shape starting with different seed values of the basic uniform generator. Researchers may need efficient samplingC--Rand: A Package for Generating Nonuniform Random Variates Ernst Stadlober and Franz Niederl
A Fourth Chiral Generation And Susy Breaking
Akin Wingerter
2011-05-30
We revisit four generations within the context of supersymmetry. We compute the perturbativity limits for the fourth generation Yukawa couplings and show that if the masses of the fourth generation lie within reasonable limits of their present experimental lower bounds, it is possible to have perturbativity only up to scales around 1000 TeV, i.e. the current experimental bounds and perturbative unification are mutually exclusive. Such low scales are ideally suited to incorporate gauge mediated supersymmetry breaking, where the mediation scale can be as low as 10-20 TeV. The minimal messenger model, however, is highly constrained. Lack of electroweak symmetry breaking rules out a large part of the parameter space, and in the remaining part, the fourth generation stau is tachyonic.
Barnette, Daniel W. (Veguita, NM)
2002-01-01
The present invention provides a method of grid generation that uses the geometry of the problem space and the governing relations to generate a grid. The method can generate a grid with minimized discretization errors, and with minimal user interaction. The method of the present invention comprises assigning grid cell locations so that, when the governing relations are discretized using the grid, at least some of the discretization errors are substantially zero. Conventional grid generation is driven by the problem space geometry; grid generation according to the present invention is driven by problem space geometry and by governing relations. The present invention accordingly can provide two significant benefits: more efficient and accurate modeling since discretization errors are minimized, and reduced cost grid generation since less human interaction is required.
Steam generator support system
Moldenhauer, James E. (Simi Valley, CA)
1987-01-01
A support system for connection to an outer surface of a J-shaped steam generator for use with a nuclear reactor or other liquid metal cooled power source. The J-shaped steam generator is mounted with the bent portion at the bottom. An arrangement of elongated rod members provides both horizontal and vertical support for the steam generator. The rod members are interconnected to the steam generator assembly and a support structure in a manner which provides for thermal distortion of the steam generator without the transfer of bending moments to the support structure and in a like manner substantially minimizes forces being transferred between the support structure and the steam generator as a result of seismic disturbances.
Steam generator support system
Moldenhauer, J.E.
1987-08-25
A support system for connection to an outer surface of a J-shaped steam generator for use with a nuclear reactor or other liquid metal cooled power source is disclosed. The J-shaped steam generator is mounted with the bent portion at the bottom. An arrangement of elongated rod members provides both horizontal and vertical support for the steam generator. The rod members are interconnected to the steam generator assembly and a support structure in a manner which provides for thermal distortion of the steam generator without the transfer of bending moments to the support structure and in a like manner substantially minimizes forces being transferred between the support structure and the steam generator as a result of seismic disturbances. 4 figs.
A multivariate phase distribution and its estimation
Charles F. Cadieu; Kilian Koepsell
2009-06-21
Circular variables such as phase or orientation have received considerable attention throughout the scientific and engineering communities and have recently been quite prominent in the field of neuroscience. While many analytic techniques have used phase as an effective representation, there has been little work on techniques that capture the joint statistics of multiple phase variables. In this paper we introduce a distribution that captures empirically observed pair-wise phase relationships. Importantly, we have developed a computationally efficient and accurate technique for estimating the parameters of this distribution from data. We show that the algorithm performs well in high-dimensions (d=100), and in cases with limited data (as few as 100 samples per dimension). We also demonstrate how this technique can be applied to electrocorticography (ECoG) recordings to investigate the coupling of brain areas during different behavioral states. This distribution and estimation technique can be broadly applied to any setting that produces multiple circular variables.
Thermophotovoltaic energy generation
Celanovic, Ivan; Chan, Walker; Bermel, Peter; Yeng, Adrian Y. X.; Marton, Christopher; Ghebrebrhan, Michael; Araghchini, Mohammad; Jensen, Klavs F.; Soljacic, Marin; Joannopoulos, John D.; Johnson, Steven G.; Pilawa-Podgurski, Robert; Fisher, Peter
2015-08-25
Inventive systems and methods for the generation of energy using thermophotovoltaic cells are described. Also described are systems and methods for selectively emitting electromagnetic radiation from an emitter for use in thermophotovoltaic energy generation systems. In at least some of the inventive energy generation systems and methods, a voltage applied to the thermophotovoltaic cell (e.g., to enhance the power produced by the cell) can be adjusted to enhance system performance. Certain embodiments of the systems and methods described herein can be used to generate energy relatively efficiently.
Fourth Generation Majorana Neutrinos
Alexander Lenz; Heinrich Päs; Dario Schalla
2012-05-02
We investigate the possibility of a fourth sequential generation in the lepton sector. Assuming neutrinos to be Majorana particles and starting from a recent - albeit weak - evidence for a non-zero admixture of a fourth generation neutrino from fits to weak lepton and meson decays we discuss constraints from neutrinoless double beta decay, radiative lepton decay and like-sign dilepton production at hadron colliders. Also an idea for fourth generation neutrino mass model building is briefly outlined. Here we soften the large hierarchy of the neutrino masses within an extradimensional model that locates each generation on different lepton number violating branes without large hierarchies.
Energy Science and Technology Software Center (OSTI)
003027MLTPL00 Network Traffic Generator for Low-rate Small Network Equipment Software http://eln.lbl.gov/sne_traffic_gen.html
Renewable Electricity Generation
2012-09-01
This document highlights DOE's Office of Energy Efficiency and Renewable Energy's advancements in renewable electricity generation technologies including solar, water, wind, and geothermal.
Office of Energy Efficiency and Renewable Energy (EERE)
The amount of electricity generated by the wind industry started to grow back around 1999, and since 2007 has been increasing at a rapid pace.
Synchrophasor Measurement-Based Wind Plant Inertia Estimation: Preprint
Zhang, Y.; Bank, J.; Wan, Y. H.; Muljadi, E.; Corbus, D.
2013-05-01
The total inertia stored in all rotating masses that are connected to power systems, such as synchronous generations and induction motors, is an essential force that keeps the system stable after disturbances. To ensure bulk power system stability, there is a need to estimate the equivalent inertia available from a renewable generation plant. An equivalent inertia constant analogous to that of conventional rotating machines can be used to provide a readily understandable metric. This paper explores a method that utilizes synchrophasor measurements to estimate the equivalent inertia that a wind plant provides to the system.
Climate Warming and Adaptability of High-Elevation Hydropower Generation in California
Keller, Arturo A.
. A simple optimization model has been developed to estimate the potential effects of climate warming estimates the possible changes in hydroelectricity generation. The model's predicted generation data simulation or optimization would be tedious and expensive. Thus, this study suggests No-Spill Approach
Estimating Canopy Fuel Parameters with In-Situ and Remote Sensing Data
Mutlu, Muge
2012-02-14
Crown fires, the fastest spreading of all forest fires, can occur in any forest type throughout the United States and the world. The occurrence of crown fires has become increasingly frequent and severe in recent years. The overall aim of this study...
DOE/SC-ARM/TR-097 Radiatively Important Parameters Best Estimate
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSiteo n n e v i2 ARM Climate1623375 The7
An Algorithm for Estimating the Parameters of Unrestricted I-Iidden
-Free Grammars Julian Kupiec Xerox Palo Alto Research Center 3333 Coyote Itill Road Palo Alto, CA 94304 ABSTRACT
Frontczak, Monika
2012-01-01
2 by means of light; he placed it in the home of one family2 by means of light; he placed it in the home of one familyhome and office environment: behaviour in relation to window opening, adjusting heating and turning the lights
MODAL PARAMETER ESTIMATION FOR OPERATIONAL WIND TURBINES Emilio Di Lorenzo1, 2
Boyer, Edmond
, Bart Peeters1 , Francesco Marulo2 1 LMS, A Siemens Business, RTD Test Division, Interleuvenlaan 68-varying systems excited by loads due to the wind and to the interaction between blades, tower and drivetrain. The Multi-Blade Coordinate transformation (MBC) allows describing the dynamic interaction between
Chaudhari, Qasim Mahmood
2009-05-15
:5). : : : : : : : : : : : : : : : : : : : : : 52 9 Nonzero likelihood region shown as the solid line. : : : : : : : : : : : 55 10 Support region of the likelihood function shown as the shaded area. Also shown to the left in this flgure is the sign of the term 2NT3;j ? NP k=1 (T3;k ?T2;k) for each... timing handshake between a pair of nodes, the uplink and downlink timing message exchanges between two clocks A and B are shown in Fig. 1. The messages T1;k and T4;k represent the times measured by the local clock of node A, while the messages T2;k and T3...
Estimation of constitutive parameters for the Belridge Diatomite, South Belridge Diatomite Field
Fossum, A.F.; Fredrich, J.T.
1998-06-01
A cooperative national laboratory/industry research program was initiated in 1994 that improved understanding of the geomechanical processes causing well casing damage during oil production from weak, compactible formations. The program focused on the shallow diatomaceous oil reservoirs located in California`s San Joaquin Valley, and combined analyses of historical field data, experimental determination of rock mechanical behavior, and geomechanical simulation of the reservoir and overburden response to production and injection. Sandia National Laboratories` quasi-static, large-deformation structural mechanics finite element code JAS3D was used to perform the three-dimensional geomechanical simulations. One of the material models implemented in JAS3D to simulate the time-independent inelastic (non-linear) deformation of geomaterials is a generalized version of the Sandler and Rubin cap plasticity model (Sandler and Rubin, 1979). This report documents the experimental rock mechanics data and material cap plasticity models that were derived to describe the Belridge Diatomite reservoir rock at the South Belridge Diatomite Field, Section 33.
BIOPHYSICAL PARAMETER ESTIMATION WITH ADAPTIVE GAUSSIAN PROCESSES G. Camps-Valls1
Camps-Valls, Gustavo
-Maravilla1 1 Image Processing Laboratory (IPL) 2 Dept. Plant Biology Universitat de Val`encia. Val-parametric kernel learn- ing. Very good numerical performance and stability has been reported in remote sensing
Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models
Braatz, Richard D.
Many researchers have worked to develop methods to analyze and characterize capacity fade in lithium-ion batteries. As a complement to approaches to mathematically model capacity fade that require detailed understanding ...
Red herrings revisited: spatial autocorrelation and parameter estimation in geographical ecology
Hawkins, Bradford A.; Diniz-Filho, Jose Alexandre F.; Bini, Luis Mauricio; De Marco, Paulo; Blackburn, Tim M.
2007-01-01
than 50% of the area of full cells were excluded from all1 refers to the number of cells in the full grid, v* is theadditional cells will be evenly spread throughout the full
Registration of MR prostate images with biomechanical modeling and nonlinear parameter estimation
2006-01-01
for HDR prostate brachytherapy use to boost dominant intra-optimi- zation for HDR-brachytherapy of the prostate usingning for high dose rate ?HDR? brachytherapy, 7 a type of ra-
Richardson, Andrew D.
and earth system models, especially for long-term (multian- nual and greater) simulations. Data assimilation
Blandin, Sebastien
2012-01-01
quantities for the upstream and downstream states u up and upatterns. Between upstream and downstream states, u up and uthe initial densities of the upstream and downstream states.
Frontczak, Monika
2012-01-01
caused by indoor air pollution, thermal load and noise.thermal load, low-frequency venti- lation noise and indoor air pollution.
Estimating the control parameters of an articulatory model from electromagnetic articulograph data
Ouni, Slim
in the eighties due to the health hazard linked to exposure of human subjects to radiation,11 an to the speaker involved in the experi- ment, and EMA data are registered to it automatically. Then, articulatory
Lichter, Matthew D. (Matthew Daniel), 1977-
2005-01-01
Future space missions are expected to use autonomous robotic systems to carry out a growing number of tasks. These tasks may include the assembly, inspection, and maintenance of large space structures; the capture and ...
Estimating evolutionary parameters and detecting signals of natural selection from genetic data
Bhatia, Gaurav
2014-01-01
Even prior to the elucidation of the structure of DNA, the theoretical foundations of population genetics had been well developed. Advances made by Sewall Wright, John B.S. Haldane, and Ronald A. Fisher form the basis with ...
Real-Time Estimation of the Parameters of Long-Range Dependence
Roughan, Matthew
was conducted while the authors were at the Software Engineering Research Centre at RMIT University, Melbourne a period of 5 months, and using them to look for diurnal trends in scal- ing properties of the data of Electrical Engineering, University of Melbourne, Victoria 3010, Australia. (fm
On Particle Methods for Parameter Estimation in General State-Space Models
Kantas, Nikolas; Doucet, Arnoud; Singh, Sumeetpal S.; Maciejowski, Jan; Chopin, Nicolas
2015-08-10
argument of Q(?k, ?) can be characterized explicitly through a suitable function ? : Rns ? ?, i.e. (5.5) ?k+1 = ? ( T?1S?kT ) . 12 5.1.4 Discussion of particle implementations The path space approximation (3.7) can be used to approximate the score (2...
Estimation of uncertain parameters to improve modeling of Mirobially Induced Calcite Precipitation
Cirpka, Olaf Arie
in the subsurface or fracking could be reduced with sealing technologies like microbially induced calcite Injectionwellvicinity Fracking CO2 Reservoir Figure 1: Potential application sites of MICP as a sealing technology
Ngere, Lauretta
2015-04-28
Sheep (Spanish sheep introduced into Florida in the 1500s) than in Rambouillet. Zajac et al. (1988) and Courtney et al. (1985) also confirmed the higher resistance of Florida Native Sheep than the Dorset × Rambouillet and Barbados, respectively. Baker...
Explicit Link Parameter Estimators Based on End-to-End Measurements Jian Ni and Sekhar Tatikonda
Tatikonda, Sekhar
in a network [4], [7]. As today's com- munication networks (e.g., the Internet, overlay networks, wireless sensor networks, wireless mesh networks) grow in size and diversity, accurate and scalable network destination destination router (a) The physical routing topology. s 1 2 3 4 5 (b) The logical routing tree
On Parameter and State Estimation for Linear Differential-Algebraic Equations
Schön, Thomas
). These models arise as the natural product of object-oriented modeling languages, such as Modelica. However September 2006 #12;resentations that are close to those of object-oriented modeling tools, like Modelica
On Parameter and State Estimation for Linear Differential-Algebraic Equations
Gustafsson, Fredrik
). These models arise as the natural product of object-oriented modeling languages, such as Modelica. However September 2005 #12;tations that are close to those of object-oriented mod- eling tools, like Modelica
Frontczak, Monika
2012-01-01
a low carbon office refurbishment, Build. Res. Inform. , 38,a low carbon office refurbishment, Building Research anda low carbon office refurbishment, Build Res Inf, 38, 610-
Method Comparison For Estimation Of Distributed Parameters In Permittivity Models Using Reflectance
;1 Introduction There is a current interest in the integration of ceramic matrix composites (CMCs) for both static matrix composites. In order to model the reflectance, one must specify a model for the complex have hypothesized that as the CMC under study (a ceramic matrix with a silicon carbide fiber
Azad, Abdul-Majeed
uranium dioxide Abdul-Majeed Azad * Department of Chemical and Environmental Engineering, The University, reliable data on the sound prop- agation velocity in molten uranium dioxide have been obtained. An equation 61:98 ffiffiffiffi T p : đ1Ţ For stoichiometric uranium oxide (O/U = 2.00) values of 3070 K [6], 3115
Real-time estimation of distributed parameters systems: Applicaton to traffic monitoring
Work, Daniel Benjamin
2010-01-01
from GPS-equipped mobile devices . . . . 1.3 Relatedusing GPS enabled mobile devices. In Proc. of the 47th IEEEof GPS data from mobile devices, and by the need for
Parameter Estimation of Systems Described by the Relation with Noisy Observations
of systems described by the equations [Bubnicki, 80a]. The problem of modeling and identification of systems
Estimates of HE-LHC beam parameters at different injection energies
Sen, Tanaji; /Fermilab
2010-11-01
A future upgrade to the LHC envisions increasing the top energy to 16.5 TeV and upgrading the injectors. There are two proposals to replace the SPS as the injector to the LHC. One calls for a superconducting ring in the SPS tunnel while the other calls for an injector (LER) in the LHC tunnel. In both scenarios, the injection energy to the LHC will increase. In this note we look at some of the consequences of increased injection energy to the beam dynamics in the LHC.
Estimation of Parameters for Single Diode Models Using Measured IV Clifford W. Hansen
. In contrast, module testing frequently records IV curves at a wide range of irradiance and temperature is a popular way to represent the electrical performance of a photovoltaic (PV) module. A single diode model]) and is often interpreted by an equivalent circuit comprising a current source, a diode, a parallel resistor
Parameter Estimation and Supervisory Techniques for Robust Longitudinal Control of Heavy Vehicles
Druzhinina, Maria; Moklegaard, Lasse; Stefanopoulou, Anna G.
2003-01-01
mechanism converts the turbocharged diesel engine, thatwhich converts the turbocharged diesel engine, that powerse?ectively convert- ing the turbocharged diesel engine, that
Estimating the Parameters of a Nonhomogeneous Poisson Process with Linear Rate
Whitt, Ward
,1 Geraldine A. Parker2 and Ward Whitt3 AT&T Bell Laboratories Murray Hill, NJ 07974-0636 November 16, 1993 Revision: January 30, 1995 1 AT&T Bell Laboratories, Room 2C-120, Murray Hill, NJ 07974 Laboratories, Room 2C-178, Murray Hill, NJ 07974-0636; email: wow@research.att.com #12;Abstract Motivated
Estimating the Parameters of a Nonhomogeneous Poisson Process with Linear Rate
Whitt, Ward
, 1 Geraldine A. Parker 2 and Ward Whitt 3 AT&T Bell Laboratories Murray Hill, NJ 079740636 November 16, 1993 Revision: January 30, 1995 1 AT&T Bell Laboratories, Room 2C120, Murray Hill, NJ 07974 Laboratories, Room 2C178, Murray Hill, NJ 079740636; email: wow@research.att.com #12; Abstract Motivated
Ye, Sheng; Li, Hongyi; Huang, Maoyi; Ali, Melkamu; Leng, Guoyong; Leung, Lai-Yung R.; Wang, Shaowen; Sivapalan, Murugesu
2014-07-21
Subsurface stormflow is an important component of the rainfall–runoff response, especially in steep terrain. Its contribution to total runoff is, however, poorly represented in the current generation of land surface models. The lack of physical basis of these common parameterizations precludes a priori estimation of the stormflow (i.e. without calibration), which is a major drawback for prediction in ungauged basins, or for use in global land surface models. This paper is aimed at deriving regionalized parameterizations of the storage–discharge relationship relating to subsurface stormflow from a top–down empirical data analysis of streamflow recession curves extracted from 50 eastern United States catchments. Detailed regression analyses were performed between parameters of the empirical storage–discharge relationships and the controlling climate, soil and topographic characteristics. The regression analyses performed on empirical recession curves at catchment scale indicated that the coefficient of the power-law form storage–discharge relationship is closely related to the catchment hydrologic characteristics, which is consistent with the hydraulic theory derived mainly at the hillslope scale. As for the exponent, besides the role of field scale soil hydraulic properties as suggested by hydraulic theory, it is found to be more strongly affected by climate (aridity) at the catchment scale. At a fundamental level these results point to the need for more detailed exploration of the co-dependence of soil, vegetation and topography with climate.
TRANSPORT CHARACTERISTICS OF SELECTED PWR LOCA GENERATED DEBRIS.
A. K. MAJI; B. MARSHALL; ET AL
2000-10-01
In the unlikely event of a Loss of Coolant Accident (LOCA) in a pressurized water reactor (PWR), break jet impingement would dislodge thermal insulation from nearby piping, as well as other materials within the containment, such as paint chips, concrete dust, and fire barrier materials. Steam/water flows induced by the break and by the containment sprays would transport debris to the containment floor. Subsequently, debris would likely transport to and accumulate on the suction sump screens of the emergency core cooling system (ECCS) pumps, thereby potentially degrading ECCS performance and possibly even failing the ECCS. In 1998, the U. S. Nuclear Regulatory Commission (NRC) initiated a generic study (Generic Safety Issue-191) to evaluate the potential for the accumulation of LOCA related debris on the PWR sump screen and the consequent loss of ECCS pump net positive suction head (NPSH). Los Alamos National Laboratory (LANL), supporting the resolution of GSI-191, was tasked with developing a method for estimating debris transport in PWR containments to estimate the quantity of debris that would accumulate on the sump screen for use in plant specific evaluations. The analytical method proposed by LANL, to predict debris transport within the water that would accumulate on the containment floor, is to use computational fluid dynamics (CFD) combined with experimental debris transport data to predict debris transport and accumulation on the screen. CFD simulations of actual plant containment designs would provide flow data for a postulated accident in that plant, e.g., three-dimensional patterns of flow velocities and flow turbulence. Small-scale experiments would determine parameters defining the debris transport characteristics for each type of debris. The containment floor transport methodology will merge debris transport characteristics with CFD results to provide a reasonable and conservative estimate of debris transport within the containment floor pool and subsequent accumulation of debris on the sump screen. The complete methodology will, of course, include a means of estimating debris generation, transport to the containment floor, transport to the sump screen, and the resulting loss of NPSH.
Next-generation transcriptome assembly
Martin, Jeffrey A.
2012-01-01
technologies - the next generation. Nat Rev Genet 11, 31-algorithms for next-generation sequencing data. Genomicsassembly from next- generation sequencing data. Genome Res
Laser beam generating apparatus
Warner, B.E.; Duncan, D.B.
1994-02-15
Laser beam generating apparatus including a septum segment disposed longitudinally within the tubular structure of the apparatus is described. The septum provides for radiatively dissipating heat buildup within the tubular structure and for generating relatively uniform laser beam pulses so as to minimize or eliminate radial pulse delays (the chevron effect). 7 figures.
Prescott, D.S.; Schober, R.K.; Beller, J.
1992-03-17
An improved solid aerosol generator used to produce a gas borne stream of dry, solid particles of predetermined size and concentration is disclosed. The improved solid aerosol generator nebulizes a feed solution of known concentration with a flow of preheated gas and dries the resultant wet heated aerosol in a grounded, conical heating chamber, achieving high recovery and flow rates. 2 figs.
Improved solid aerosol generator
Prescott, D.S.; Schober, R.K.; Beller, J.
1988-07-19
An improved solid aerosol generator used to produce a gas borne stream of dry, solid particles of predetermined size and concentration. The improved solid aerosol generator nebulizes a feed solution of known concentration with a flow of preheated gas and dries the resultant wet heated aerosol in a grounded, conical heating chamber, achieving high recovery and flow rates. 2 figs.
Wroclaw neutrino event generator
Jaroslaw A. Nowak
2006-07-07
A neutrino event generator developed by the Wroclaw Neutrino Group is described. The physical models included in the generator are discussed and illustrated with the results of simulations. The considered processes are quasi-elastic scattering and pion production modelled by combining the $\\Delta$ resonance excitation and deep inelastic scattering.
Internal split field generator
Thundat; Thomas George (Knoxville, TN); Van Neste, Charles W. (Kingston, TN); Vass, Arpad Alexander (Oak Ridge, TN)
2012-01-03
A generator includes a coil of conductive material. A stationary magnetic field source applies a stationary magnetic field to the coil. An internal magnetic field source is disposed within a cavity of the coil to apply a moving magnetic field to the coil. The stationary magnetic field interacts with the moving magnetic field to generate an electrical energy in the coil.
Laser beam generating apparatus
Warner, B.E.; Duncan, D.B.
1993-12-28
Laser beam generating apparatus including a septum segment disposed longitudinally within the tubular structure of the apparatus. The septum provides for radiatively dissipating heat buildup within the tubular structure and for generating relatively uniform laser beam pulses so as to minimize or eliminate radial pulse delays (the chevron effect). 11 figures.
Watt parameters for the Los Alamos Model : Subroutine getab
J. P. Lestone
2014-09-18
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.
Cosmological parameters from WMAP 5-year temperature maps
Antony Lewis
2008-04-24
I calculate a hybrid cross-power spectrum estimator from the WMAP 5-year CMB temperature maps, discuss the goodness of fit, and then constrain cosmological parameters. The spectrum and results are generally consistent with previous results, though the power spectrum error bars are slightly smaller and there are small shifts at high ell. The small improvement in error bars is obtained at very low numerical cost but does not significantly improve parameter constraints. I discuss the accuracy of the likelihood model and how constraints on the optical depth translate into constraints on the reionization history allowing for helium reionization. In the appendices I propose a simple reionization parameterization that determines the history in terms of a mid-point reionization redshift, and suggest a new likelihood approximation for chi-squared-like distributions with varying skewness.
Outdoor PV Module Degradation of Current-Voltage Parameters: Preprint
Smith, R. M.; Jordan, D. C.; Kurtz, S. R.
2012-04-01
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.
DEVELOPMENT OF VADOSE-ZONE HYDRAULIC PARAMETER VALUES
ROGERS PM
2008-01-21
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.
Measurement Noise versus Process Noise in Ionosphere Estimation for WAAS
Stanford University
Measurement Noise versus Process Noise in Ionosphere Estimation for WAAS Juan Blanch, Todd Walter of several parameters: the geometry of the measurements, the measurement noise, and the state of the ionosphere, which yields the process noise. It is very important to distinguish carefully between measurement
Estimating uncertainty of streamflow simulation using Bayesian neural networks
Liang, Faming
Estimating uncertainty of streamflow simulation using Bayesian neural networks Xuesong Zhang,1 neural networks (BNNs) are powerful tools for providing reliable hydrologic prediction and quantifying of the uncertainties related to parameters (neural network's weights) and model structures were applied for uncertainty
Estimating Uncertainty of Streamflow Simulation using Bayesian Neural Networks
Estimating Uncertainty of Streamflow Simulation using Bayesian Neural Networks Xuesong Zhang1-2607 Email: r-srinivasan@tamu.edu 1 #12;Abstract: Recent studies have shown that Bayesian Neural Networks of the uncertainties related to parameters (neural network's weights) and model structures were applied for uncertainty
Hybrid Simulation Modeling to Estimate U.S. Energy Elasticities
to Estimate U.S. Energy Elasticities Examining Committee: Chair: Jacob Fox Master of Resource Management energy efficiency index (AEEI) parameters. The ability of economies to reduce greenhouse gas emissions to calculate price- independent changes in energy-efficiency in the form of the AEEI, by comparing energy
Root Modeling: Estimating Storage, Live, and Dead Pool
Post, Wilfred M.
Root Modeling: Estimating Storage, Live, and Dead Pool Turnover Times; Storage Inputs to New Root to choose best-fit parameters · "Storage" simulations with in-growth cores · Live and dead pool simulations Atmosphere East Atmosphere; 1 SD East tree rings f(Average respiration and soil gas) Modeled GSD = 1.3 Range
ESTIMATION AND CONTROL OF INDUSTRIAL PROCESSES WITH PARTICLE FILTERS
de Freitas, Nando
ESTIMATION AND CONTROL OF INDUSTRIAL PROCESSES WITH PARTICLE FILTERS Rub´en Morales of industrial processes. In particular, we adopt a jump Markov linear Gaussian (JMLG) model to describe an industrial heat exchanger. The parameters of this model are identi- fied with the expectation maximisation
Damping Estimation of Plates for Statistical Energy Analysis
Vatti, Kranthi
2011-06-01
The Power Input Method (P.I.M.) and the Impulse Response Decay Method (I.R.D.M.) are used to evaluate how the accuracy of damping loss factor estimation for plates is affected with respect to various processing parameters, such as the frequency...
Least square fitting with one parameter less
Bernd A. Berg
2015-05-28
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.
Measurement enhancement for state estimation
Chen, Jian
2009-05-15
to accurately monitor the system operating state. State estimation is an essential tool in an energy management system (EMS). It is responsible for providing an accurate and correct estimate for the system operating state based on the available measurements...
Cai, H.; Wang, M.; Elgowainy, A.; Han, J.
2012-07-06
Greenhouse gas (CO{sub 2}, CH{sub 4} and N{sub 2}O, hereinafter GHG) and criteria air pollutant (CO, NO{sub x}, VOC, PM{sub 10}, PM{sub 2.5} and SO{sub x}, hereinafter CAP) emission factors for various types of power plants burning various fuels with different technologies are important upstream parameters for estimating life-cycle emissions associated with alternative vehicle/fuel systems in the transportation sector, especially electric vehicles. The emission factors are typically expressed in grams of GHG or CAP per kWh of electricity generated by a specific power generation technology. This document describes our approach for updating and expanding GHG and CAP emission factors in the GREET (Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation) model developed at Argonne National Laboratory (see Wang 1999 and the GREET website at http://greet.es.anl.gov/main) for various power generation technologies. These GHG and CAP emissions are used to estimate the impact of electricity use by stationary and transportation applications on their fuel-cycle emissions. The electricity generation mixes and the fuel shares attributable to various combustion technologies at the national, regional and state levels are also updated in this document. The energy conversion efficiencies of electric generating units (EGUs) by fuel type and combustion technology are calculated on the basis of the lower heating values of each fuel, to be consistent with the basis used in GREET for transportation fuels. On the basis of the updated GHG and CAP emission factors and energy efficiencies of EGUs, the probability distribution functions (PDFs), which are functions that describe the relative likelihood for the emission factors and energy efficiencies as random variables to take on a given value by the integral of their own probability distributions, are updated using best-fit statistical curves to characterize the uncertainties associated with GHG and CAP emissions in life-cycle modeling with GREET.
Naden, Levi N
2015-01-01
We show how thermodynamic properties of molecular models can be computed over a large, multidimensional parameter space by combining multistate reweighting analysis with a linear basis function approach. This approach reduces the computational cost to estimate thermodynamic properties from molecular simulations for over 130,000 tested parameter combinations from over a thousand CPU years to tens of CPU days. This speed increase is achieved primarily by computing the potential energy as a linear combination of basis functions, computed from either modified simulation code or as the difference of energy between two reference states, which can be done without any simulation code modification. The thermodynamic properties are then estimated with the Multistate Bennett Acceptance Ratio (MBAR) as a function of multiple model parameters without the need to define a priori how the states are connected by a pathway. Instead, we adaptively sample a set of points in parameter space to create mutual configuration space o...
Leung, Ka-Ngo; Lou, Tak Pui
2005-03-22
A compact neutron generator has at its outer circumference a toroidal shaped plasma chamber in which a tritium (or other) plasma is generated. A RF antenna is wrapped around the plasma chamber. A plurality of tritium ion beamlets are extracted through spaced extraction apertures of a plasma electrode on the inner surface of the toroidal plasma chamber and directed inwardly toward the center of neutron generator. The beamlets pass through spaced acceleration and focusing electrodes to a neutron generating target at the center of neutron generator. The target is typically made of titanium tubing. Water is flowed through the tubing for cooling. The beam can be pulsed rapidly to achieve ultrashort neutron bursts. The target may be moved rapidly up and down so that the average power deposited on the surface of the target may be kept at a reasonable level. The neutron generator can produce fast neutrons from a T-T reaction which can be used for luggage and cargo interrogation applications. A luggage or cargo inspection system has a pulsed T-T neutron generator or source at the center, surrounded by associated gamma detectors and other components for identifying explosives or other contraband.
A self-testing quantum random number generator
Tommaso Lunghi; Jonatan Bohr Brask; Charles Ci Wen Lim; Quentin Lavigne; Joseph Bowles; Anthony Martin; Hugo Zbinden; Nicolas Brunner
2014-10-10
A central issue in randomness generation is to estimate the entropy of the output data generated by a given device. Here we present a protocol for self-testing quantum random number generation, in which the entropy of the raw data can be monitored in real-time. In turn, this allows the user to adapt the randomness extraction procedure, in order to continuously generate high quality random bits. Using a fully optical implementation, we demonstrate that our protocol is practical and efficient, and illustrate its self-testing capacity.
Lothian, Josh; Powers, Sarah S; Sullivan, Blair D; Baker, Matthew B; Schrock, Jonathan; Poole, Stephen W
2013-12-01
The benchmarking effort within the Extreme Scale Systems Center at Oak Ridge National Laboratory seeks to provide High Performance Computing benchmarks and test suites of interest to the DoD sponsor. The work described in this report is a part of the effort focusing on graph generation. A previously developed benchmark, SystemBurn, allowed the emulation of dierent application behavior profiles within a single framework. To complement this effort, similar capabilities are desired for graph-centric problems. This report examines existing synthetic graph generator implementations in preparation for further study on the properties of their generated synthetic graphs.
Synthetic guide star generation
Payne, Stephen A. (Castro Valley, CA) [Castro Valley, CA; Page, Ralph H. (Castro Valley, CA) [Castro Valley, CA; Ebbers, Christopher A. (Livermore, CA) [Livermore, CA; Beach, Raymond J. (Livermore, CA) [Livermore, CA
2008-06-10
A system for assisting in observing a celestial object and providing synthetic guide star generation. A lasing system provides radiation at a frequency at or near 938 nm and radiation at a frequency at or near 1583 nm. The lasing system includes a fiber laser operating between 880 nm and 960 nm and a fiber laser operating between 1524 nm and 1650 nm. A frequency-conversion system mixes the radiation and generates light at a frequency at or near 589 nm. A system directs the light at a frequency at or near 589 nm toward the celestial object and provides synthetic guide star generation.
Synthetic guide star generation
Payne, Stephen A.; Page, Ralph H.; Ebbers, Christopher A.; Beach, Raymond J.
2004-03-09
A system for assisting in observing a celestial object and providing synthetic guide star generation. A lasing system provides radiation at a frequency at or near 938 nm and radiation at a frequency at or near 1583 nm. The lasing system includes a fiber laser operating between 880 nm and 960 nm and a fiber laser operating between 1524 nm and 1650 nm. A frequency-conversion system mixes the radiation and generates light at a frequency at or near 589 nm. A system directs the light at a frequency at or near 589 nm toward the celestial object and provides synthetic guide star generation.
Alternative Estimation Procedures for Event-History Analysis: A Monte Carlo Study
Carroll, Glenn R; Hannan, Michael T; Tuma, Nancy Brandon; Warsavage, Barbara
2015-08-15
The authors compare alternative procedures for estimating parameters of event-history models: ordinary least squares, Kaplan-Meier least squares, maximum likelihood, and partial likelihood. They report results of simulations comparing maximum...
Cost Estimating, Analysis, and Standardization
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1984-11-02
To establish policy and responsibilities for: (a) developing and reviewing project cost estimates; (b) preparing independent cost estimates and analysis; (c) standardizing cost estimating procedures; and (d) improving overall cost estimating and analytical techniques, cost data bases, cost and economic escalation models, and cost estimating systems. Cancels DOE O 5700.2B, dated 8-5-1983; DOE O 5700.8, dated 5-27-1981; and HQ 1130.1A, dated 12-30-1981. Canceled by DOE O 5700.2D, dated 6-12-1992
Lepton sector of a fourth generation
Burdman, G. [Fermi National Accelerator Laboratory, Batavia, Illinois 60510 (United States); Instituto de Fisica, Universidade de Sao Paulo, Sao Paulo (Brazil); Da Rold, L. [Centro Atomico Bariloche, Bariloche (Argentina); Matheus, R. D. [Instituto de Fisica, Universidade de Sao Paulo, Sao Paulo (Brazil)
2010-09-01
In extensions of the standard model with a heavy fourth generation, one important question is what makes the fourth-generation lepton sector, particularly the neutrinos, so different from the lighter three generations. We study this question in the context of models of electroweak symmetry breaking in warped extra dimensions, where the flavor hierarchy is generated by choosing the localization of the zero-mode fermions in the extra dimension. In this setup the Higgs sector is localized near the infrared brane, whereas the Majorana mass term is localized at the ultraviolet brane. As a result, light neutrinos are almost entirely Majorana particles, whereas the fourth-generation neutrino is mostly a Dirac fermion. We show that it is possible to obtain heavy fourth-generation leptons in regions of parameter space where the light neutrino masses and mixings are compatible with observation. We study the impact of these bounds, as well as the ones from lepton flavor violation, on the phenomenology of these models.
The best-estimate analysis of LB LOCA with uncertainty evaluation
Stritar, A.; Mavko, B.; Prosek, A.
1992-01-01
The large-break loss-of-coolant accident (LB LOCA) has been analyzed with a conservative computer code and methodology. One of the conclusions of that analysis was the need for the uncertainty analysis of the final result with the number of input parameters as independent variables. In this paper, the analysis of the LB LOCA with the best-estimate code, RELAP5/MOD2, is described. The analysis has been performed for the Krsko nuclear power plant in Slovenia. It is a Westinghouse two-loop 664-MW (electric) pressurized water reactor. The cold-leg break between the pump and the reactor vessel has been selected for the analysis. The input model that was used with the RELAP5/MOD2 code was the modified standard input for that plant, which had been used for transient analyses for several years. The changes to the model were introduced mainly to achieve better efficiency of the extensive computational task. The number of heat slabs on the secondary side of the steam generators has been reduced to gain computing speed. The number of axial heat slabs in the core has been increased to achieve a better power profile. There were two hot rods modeled in the average hydraulic core. With two hot rods, the number of necessary calculations has been halved. In each hot rod, a model of another input parameter has been applied.
Study of some parameters interstellar transport using of magnetic umbrella
?ermák, Martin
2013-01-01
Interstellar transport is an object of interest in many sci-fi stories. In history a lot of sci-fi predictions have turned into reality, such as communications satellites, deep-sea submarines and journies to the moon. In this work we study some physical parameters of a space ship which uses a magnetic umbrella. Our spaceship generates a magnetic field in its neighborhood and captures charged protons into a magnetic trap. These particles are taken into a fusion reactor. The obtained energy and waste in form of helium are used as a fuel in an ion engine. With the help of elementary physics we can work out the basic physical parameters of the ship, e.g. maximal velocity, acceleration of the ship or acceleration time period.
Burra G. Sidharth
2010-03-11
Modifications in the energy momentum dispersion laws due to a noncommutative geometry, have been considered in recent years. We examine the oscillations of extended objects in this perspective and find that there is now a "generation" of energy.
I. G. Knowles; T. Sjostrand; A. Blondel; A. Boehrer; C. D. Buchanan; D. G. Charlton; S. -L. Chu; S. Chun; G. Dissertori; D. Duchesneau; J. W. Gary; M. Gibbs; A. Grefrath; G. Gustafson; J. Hakkinen; K. Hamacher; K. Kato; L. Lonnblad; W. Metzger; R. Moller; T. Munehisa; R. Odorico; Y. Pei; G. Rudolph; S. Sarkar; M. H. Seymour; J. C. Thompson; S. Todorova; B. R. Webber
1996-01-04
This report is a survey on QCD Event Generator issues of relevance for LEP 2. It contains four main sections: a summary of experience from LEP 1, extrapolations to LEP 2 energies, Monte Carlo descriptions and standardization issues.
Contextualizing generative design
Arida, Saeed, 1977-
2004-01-01
Generative systems have been widely used to produce two- and three-dimensional constructs, in an attempt to escape from our preconceptions and pre-existing spatial language. The challenge is to use this mechanism in ...
Generating electricity from viruses
Lee, Seung-Wuk
2014-06-23
Berkeley Lab's Seung-Wuk Lee discusses "Generating electricity from viruses" in this Oct. 28, 2013 talk, which is part of a Science at the Theater event entitled Eight Big Ideas.
Fourth Generation Bound States
Koji Ishiwata; Mark B. Wise
2011-05-25
We investigate the spectrum and wave functions of {\\bar q}'q' bound states for heavy fourth generation quarks (q') that have a very small mixing with the three observed generations of standard model quarks. Such bound states come with different color, spin and flavor quantum numbers. Since the fourth generation Yukawa coupling, \\lambda_{q'}, is large we include all perturbative corrections to the potential between the heavy quark and antiquark of order \\lambda_{q'}^2N_c/16\\pi^2 where N_c is the number of colors, as well as relativistic corrections suppressed by (v/c)^2. We find that the lightest fourth generation quark masses for which a bound state exists for color octet states. For the the color singlet states, which always have a bound state, we analyze the influence that the Higgs couplings have on the size and binding energy of the bound states.
Johanson, Edward W. (New Lenox, IL); Simms, Richard (Westmont, IL)
1981-01-01
A scram signal generating circuit for nuclear reactor installations monitors a flow signal representing the flow rate of the liquid sodium coolant which is circulated through the reactor, and initiates reactor shutdown for a rapid variation in the flow signal, indicative of fuel motion. The scram signal generating circuit includes a long-term drift compensation circuit which processes the flow signal and generates an output signal representing the flow rate of the coolant. The output signal remains substantially unchanged for small variations in the flow signal, attributable to long term drift in the flow rate, but a rapid change in the flow signal, indicative of a fast flow variation, causes a corresponding change in the output signal. A comparator circuit compares the output signal with a reference signal, representing a given percentage of the steady state flow rate of the coolant, and generates a scram signal to initiate reactor shutdown when the output signal equals the reference signal.
Oscillating fluid power generator
Morris, David C
2014-02-25
A system and method for harvesting the kinetic energy of a fluid flow for power generation with a vertically oriented, aerodynamic wing structure comprising one or more airfoil elements pivotably attached to a mast. When activated by the moving fluid stream, the wing structure oscillates back and forth, generating lift first in one direction then in the opposite direction. This oscillating movement is converted to unidirectional rotational movement in order to provide motive power to an electricity generator. Unlike other oscillating devices, this device is designed to harvest the maximum aerodynamic lift forces available for a given oscillation cycle. Because the system is not subjected to the same intense forces and stresses as turbine systems, it can be constructed less expensively, reducing the cost of electricity generation. The system can be grouped in more compact clusters, be less evident in the landscape, and present reduced risk to avian species.
Generating electricity from viruses
Lee, Seung-Wuk
2013-10-31
Berkeley Lab's Seung-Wuk Lee discusses "Generating electricity from viruses" in this Oct. 28, 2013 talk, which is part of a Science at the Theater event entitled Eight Big Ideas.
Biomass for Electricity Generation
Reports and Publications (EIA)
2002-01-01
This paper examines issues affecting the uses of biomass for electricity generation. The methodology used in the National Energy Modeling System to account for various types of biomass is discussed, and the underlying assumptions are explained.
Combinations of Estimation of Distribution Algorithms and Other Techniques
Zhang, Qingfu
for solving hard search and optimization problems: (a) guided mutation, an offspring generator in which algorithm with guided mutation outperforms the best GA for the maximum clique problem, (b) evolutionary to be improved by an expensive local search. Index Terms Estimation Distribution Algorithm, Guided Mutation
Parsons Brinckerhoff New Zealand Ltd COST ESTIMATES FOR
Laughlin, Robert B.
in this Report. Limitations This Report covers technical data relating to thermal generating plants and is basedParsons Brinckerhoff New Zealand Ltd COST ESTIMATES FOR THERMAL PEAKING PLANT "FINAL REPORT information for all plant. PB has made a number of assumptive statements throughout the Report, and the Report
Large-scale Scene Understanding Challenge: Eye Tracking Saliency Estimation
Xiao, Jianxiong
Large-scale Scene Understanding Challenge: Eye Tracking Saliency Estimation Yinda Zhang, Fisher Yu of eye tracking saliency challenge is to generate a saliency map (Fig. 1(c)), which can predict map and unzip them in to a same folder, e.g. Root. The raw images are collected from SUN database [2
Innovative Self- Generating Projects
Kelly, L.
2013-01-01
? All rights reserved. Case Studies on Canadian Customer Generation Projects Innovative Self-Generation Projects Liam Kelly, M.A.Sc, CMVP Energy Engineer Willis Energy Services A CLEAResult company ESL-IE-13-05-06 Proceedings of the Thrity...-05-06 Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 ? 2013 CLEAResult ? All rights reserved. Overcoming Challenges ? Look for innovative opportunities ? Leverage available incentives ? Quantify other...
Williams, K.A.; Delene, J.G.; Fuller, L.C.; Bowers, H.I.
1987-06-01
The total busbar electric generating costs were estimated for locations in ten regions of the United States for base-load nuclear and coal-fired power plants with a startup date of January 2000. For the Midwest region a complete data set that specifies each parameter used to obtain the comparative results is supplied. When based on the reference set of input variables, the comparison of power generation costs is found to favor nuclear in most regions of the country. Nuclear power is most favored in the northeast and western regions where coal must be transported over long distances; however, coal-fired generation is most competitive in the north central region where large reserves of cheaply mineable coal exist. In several regions small changes in the reference variables could cause either option to be preferred. The reference data set reflects the better of recent electric utility construction cost experience (BE) for nuclear plants. This study assumes as its reference case a stable regulatory environment and improved planning and construction practices, resulting in nuclear plants typically built at the present BE costs. Today's BE nuclear-plant capital investment cost model is then being used as a surrogate for projected costs for the next generation of light-water reactor plants. An alternative analysis based on today's median experience (ME) nuclear-plant construction cost experience is also included. In this case, coal is favored in all ten regions, implying that typical nuclear capital investment costs must improve for nuclear to be competitive.
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)
2014-06-19
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.
21SPIRAL LIBRARY GENERATOR SPIRAL: A GENERATOR FOR
Moura, José
21SPIRAL LIBRARY GENERATOR SPIRAL: A GENERATOR FOR PLATFORM-ADAPTED LIBRARIES OF SIGNAL PROCESSING Manuela Veloso6 Robert W. Johnson7 Abstract SPIRAL is a generator for libraries of fast software imple perform- ance of SPIRAL generated code. Key words: program generation, automatic performance tuning
Generating a Generator Department of Computer and Information Sciences
Gray, Jeffrey G.
Generating a Generator Jeff Gray Department of Computer and Information Sciences University. A key to this future work will be the generation of a generator from an XML DTD or schema. 1 for crosscutting modeling concerns, a combination of an aspect-oriented [6] and generative programming [2] approach
A KNOWLEDGE-BASED CODE GENERATOR GENERATOR Christopher W. Fraser %
Fraser, Christopher W.
A KNOWLEDGE-BASED CODE GENERATOR GENERATOR Christopher W. Fraser % Department of Computer Science a good local code generator for an ALGOL-like language. It is organized as a production system of rules generation of compilers. Automatic generation of some compiler modules is already available; for example