期刊
JOURNAL OF PHYSICS G-NUCLEAR AND PARTICLE PHYSICS
卷 48, 期 7, 页码 -出版社
IOP PUBLISHING LTD
DOI: 10.1088/1361-6471/abf1df
关键词
statistical methods; uncertainty quantification; experimental design; heavy-ion collisions; nuclear mass models; nuclear reactions
资金
- National Science Foundation CSSI program [OAC-2004601]
- National Science Foundation [NSF PHY-1913069, ACI-1550223, NSF-DMS-1953111, NSF-PHY-1811815]
- US Department of Energy, Office of Science, Office of Nuclear Physics [DE-SC0013365, DE-FG02-03ER41259, DE-SC0004286, DE-FG02-93ER40756]
- Office of Advanced Scientific Computing Research [DE-AC02-06CH11357]
- NUCLEI SciDAC project
- Alexander von Humboldt Foundation through a Humboldt Research Award
The paper introduces the BAND framework for Bayesian analysis of nuclear dynamics, aiming to unify the treatment of nuclear models, experimental data, and associated uncertainties, with a focus on leveraging insights from multiple models using Bayesian methodology. Four case studies demonstrate how the framework enables progress in solving complex, far-ranging problems in nuclear physics.
We describe the Bayesian analysis of nuclear dynamics (BAND) framework, a cyberinfrastructure that we are developing which will unify the treatment of nuclear models, experimental data, and associated uncertainties. We overview the statistical principles and nuclear-physics contexts underlying the BAND toolset, with an emphasis on Bayesian methodology's ability to leverage insights from multiple models. In order to facilitate understanding of these tools, we provide a simple and accessible example of the BAND framework's application. Four case studies are presented to highlight how elements of the framework will enable progress in complex, far-ranging problems in nuclear physics (NP). By collecting notation and terminology, providing illustrative examples, and giving an overview of the associated techniques, this paper aims to open paths through which the NP and statistics communities can contribute to and build upon the BAND framework.
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