Solar data uncertainty impacts on MCMC methods for r-process nucleosynthesis

Solar data uncertainty impacts on MCMC methods for r-process nucleosynthesis

In recent work, we developed a Markov Chain Monte Carlo (MCMC) procedure to predict the ground state masses capable of forming the observed Solar r-process rare-earth abundance peak. By applying this method to nucleosynthesis calculations which make use of distinct astrophysical conditions and compa...

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Bibliographic Details
Main Authors: Nicole Vassh, Gail C. McLaughlin, Matthew R. Mumpower, Rebecca Surman
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Physics
Subjects:
nucleosynthesis
solar abundances
r-process
heavy elements
Markov Chain Monte Carlo (MCMC)
uncertainty quantification (UQ)
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2022.1046638/full

Internet

https://www.frontiersin.org/articles/10.3389/fphy.2022.1046638/full

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