Performing Bayesian Analyses With AZURE2 Using BRICK: An Application to the 7Be System

Phenomenological R -matrix has been a standard framework for the evaluation of resolved resonance cross section data in nuclear physics many years. It is powerful method comparing different types experimental and combining results measurements order to gain better estimation true underlying sections. Yet practical challenge always uncertainty on both sections at energies interest fit parameters, which can take form level parameters. Frequentist ( ? 2 -based) norm. In this work, Markov Chain Monte Carlo sampler, emcee , implemented code AZURE2 creating Bayesian Inference Code Kit BRICK ). then carried out simultaneous 3 He ? ? ) 7 Be reactions further insight into fitting capture scattering data. Both sets constrain values bound state -particle asymptotic normalization coefficients Be. The analysis highlights need low-energy with well-documented information shows how misleading be obtained its absence.