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Uncertainty analysis of signal deconvolution using a measured instrument response function [electronic resource].

Published
Washington, D.C. : United States. Dept. of Energy, 2016.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
Physical Description
Article numbers 11D841 : digital, PDF file
Additional Creators
Lawrence Livermore National Laboratory, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
A common analysis procedure minimizes the ln-likelihood that a set of experimental observables matches a parameterized model of the observation. The model includes a description of the underlying physical process as well as the instrument response function (IRF). Here, we investigate the National Ignition Facility (NIF) neutron time-of-flight (nTOF) spectrometers, the IRF is constructed from measurements and models. IRF measurements have a finite precision that can make significant contributions to the uncertainty estimate of the physical model’s parameters. Finally, we apply a Bayesian analysis to properly account for IRF uncertainties in calculating the ln-likelihood function used to find the optimum physical parameters.
Report Numbers
E 1.99:llnl-proc--694045
llnl-proc--694045
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Note
Published through SciTech Connect.
10/05/2016.
"llnl-proc--694045"
Review of Scientific Instruments 87 11 ISSN 0034-6748; RSINAK AM
Presented at: 21st Topical Conference on High-Temperature Plasma Diagnostics, Madison, WI, United States, Jun 05 - Jun 09, 2016.
E. P. Hartouni; B. Beeman; J. A. Caggiano; C. Cerjan; M. J. Eckart; G. P. Grim; R. Hatarik; A. S. Moore; D. H. Munro; T. Phillips; D. B. Sayre.
Funding Information
AC52-07NA27344
View MARC record | catkey: 23503611