Bayesian probability updates using sampling/importance resampling: Applications in nuclear theory
Artikel i vetenskaplig tidskrift, 2022

We review an established Bayesian sampling method called sampling/importance resampling and highlight situations in nuclear theory when it can be particularly useful. To this end we both analyse a toy problem and demonstrate realistic applications of importance resampling to infer the posterior distribution for parameters of ΔNNLO interaction model based on chiral effective field theory and to estimate the posterior probability distribution of target observables. The limitation of the method is also showcased in extreme situations where importance resampling breaks.

ab initio nuclear theory

uncertainty quantification

importance resampling

bayesian inference

low-energy constants

probability updates

Författare

Weiguang Jiang

Chalmers, Fysik, Subatomär, högenergi- och plasmafysik

Christian Forssén

Chalmers, Fysik, Subatomär, högenergi- och plasmafysik

Frontiers in Physics

2296424X (eISSN)

Vol. 10 1058809

Strong interactions for precision nuclear physics (PrecisionNuclei)

Europeiska kommissionen (EU) (EC/H2020/758027), 2018-02-01 -- 2023-01-31.

Svaga och sällsynta processer i atomkärnan: fundamentala symmetrier och mörk materia

Vetenskapsrådet (VR) (2017-04234), 2018-01-01 -- 2021-12-31.

Ämneskategorier

Annan fysik

Bioinformatik (beräkningsbiologi)

Sannolikhetsteori och statistik

DOI

10.3389/fphy.2022.1058809

Mer information

Senast uppdaterat

2022-11-28