Bayesian evaluation of residual production cross sections in proton-induced nuclear spallation reactions

Research article (Journal of Physics G Nuclear and Particle Physics, 2022) · cited 24× · AI/ML
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Bayesian evaluation of residual production cross sections in proton-induced nuclear spallation reactions

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Bayesian evaluation of residual production cross sections in proton-induced nuclear spallation reactions is a scholarly article[1].

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  • Bayesian evaluation of residual production cross sections in proton-induced nuclear spallation reactions's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Bayesian evaluation of residual production cross sections in proton-induced nuclear spallation reactions. Retrieved May 24, 2026, from https://4ort.xyz/entity/bayesian-evaluation-of-residual-production-cross-sections-in-proton-induced-nuclear-spallation-reactions
MLA “Bayesian evaluation of residual production cross sections in proton-induced nuclear spallation reactions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bayesian-evaluation-of-residual-production-cross-sections-in-proton-induced-nuclear-spallation-reactions.
BibTeX @misc{4ortxyz_bayesian-evaluation-of-residual-production-cross-sections-in-proton-induced-nuclear-spallation-reactions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bayesian evaluation of residual production cross sections in proton-induced nuclear spallation reactions}}, year = {2026}, url = {https://4ort.xyz/entity/bayesian-evaluation-of-residual-production-cross-sections-in-proton-induced-nuclear-spallation-reactions}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bayesian evaluation of residual production cross sections in proton-induced nuclear spallation reactions — https://4ort.xyz/entity/bayesian-evaluation-of-residual-production-cross-sections-in-proton-induced-nuclear-spallation-reactions (retrieved 2026-05-24)

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