Here we present software and notebooks that enabled principled Bayesian uncertainty quantification in nuclear physics. The packages in this directory thus tend to be stand-alone pieces of software, that do not rely on other elements of the BAND Framework, the main README for which can be found here. The tools provided here are therefore not meant to be general-purpose Bayesian methodologies, but instead are an application of Bayesian methods to a specific nuclear-physics problem. In many cases the software housed in this directory could be extended and developed for wider use in Bayesian analysis.
As of version 0.5.0 this directory includes the following examples:
- BMEX (v0.1.4): A web application for exploring quantified theoretical model predictions of nuclear masses and related quantities.
- BRICK: The Bayesian R-matrix Inference Code Kit, designed to facilitate extraction of R-matrix parameters from experimental data.
- ModelDiscrepancy (v1.1.0): A Bayesian framework for model-data comparison that accounts for theoretical uncertainties.
- neutron-rich-bmm (v0.1.0): A Gaussian process Bayesian model mixing approach for microscopic constraints for the equation of state and structure of neutron stars.
- nuclear_saturation: A Bayesian mixture model approach to quantifying the empirical nuclear saturation point.
- QGP_Bayes: A tutorial on the use of JETSCAPE_SIMS tools to infer parameters of the QGP.
- SaMBA (v1.2.1): The Sandbox for Mixing via Bayesian Analysis.