Bayesian inverse uncertainty quantification of the physical model parameters for the spallation neutron source first target station

The reliability of the mercury spallation target is mission-critical for the neutron science program of the spallation neutron source at the Oak Ridge National Laboratory. We present an inverse uncertainty quantification (UQ) study using the Bayesian framework for the mercury equation of state model...

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Detalhes bibliográficos

Principais autores:	Majdi I. Radaideh, Lianshan Lin, Hao Jiang, Sarah Cousineau
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2022-05-01
coleção:	Results in Physics
Assuntos:	Bayesian statistics Inverse problems Markov chain Monte Carlo Polynomial chaos expansions Spallation neutron source Mercury target
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2211379722001759
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