Application of polynomial chaos expansion in inverse transport problems with neutron multiplication measurements and multiple unknowns

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The polynomial chaos expansion technique is used to build surrogate models of the dependences of gamma-ray fluxes and neutron multiplication to unknown physical parameters in radiological source/shield systems. These surrogate models are used with the DiffeRential Evolution Adaptive Metropolis (DREAM), a method to solve and quantify uncertainty in inverse transport problems. Measured data in the inverse problems includes both passive gamma rays and neutron multiplication. The polynomial chaos expansion approach is shown to increase the speed of DREAM by factors of greater than 60 while not degrading the accuracy of the solution.

Original languageEnglish
Title of host publication20th Topical Meeting of the Radiation Protection and Shielding Division, RPSD 2018
PublisherAmerican Nuclear Society
ISBN (Electronic)9780894487460
StatePublished - 2018
Event20th Topical Meeting of the Radiation Protection and Shielding Division, RPSD 2018 - Santa Fe, United States
Duration: Aug 26 2018Aug 31 2018

Publication series

Name20th Topical Meeting of the Radiation Protection and Shielding Division, RPSD 2018

Conference

Conference20th Topical Meeting of the Radiation Protection and Shielding Division, RPSD 2018
Country/TerritoryUnited States
CitySanta Fe
Period08/26/1808/31/18

Funding

Notice: This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

FundersFunder number
US Department of Energy
U.S. Department of Energy

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