Comprehensive Bayesian machine learning approach to estimating the total nuclear capture rate of a negative muon
Author:
Affiliation:
1. Japan Atomic Energy Agency
2. RIKEN Nishina Center
3. The University of Tokyo
Funder
University of Tokyo
Force-front Physics and Mathematics Program in Drive Transformation
Publisher
American Physical Society (APS)
Link
http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevC.111.034614/fulltext
Reference84 articles.
1. Nuclear transmutation by negative stopped muons and the activity induced by the cosmic-ray muons
2. Cosmogenic Chlorine-36 Production in Calcite by Muons
3. Muon-induced neutron production and detection with GEANT4 and FLUKA
4. Feasibility study of nuclear transmutation by negative muon capture reaction using the PHITS code
5. Production rate calculations for cosmic-ray-muon-produced 10Be and 26Al benchmarked against geological calibration data
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1. Comprehensive Bayesian machine learning approach to estimating the total nuclear capture rate of a negative muon;Physical Review C;2025-03-18
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