ChempyMulti is a modification of the Chempy code, originally developed by Rybizki et al. (2017). It performs Bayesian inference to estimate galactic parameters such as the number of Type Ia supernovae per unit mass and the IMF high-mass slope, using chemical abundance data from a set of stars. Computation is expedited using neural networks and Hamiltonian Monte Carlo methods. In addition, we provide functionality to score nucleosynthetic yield tables on their ability to reproduce stellar abundances, as discussed in Philcox et al. (2018). This release is associated with the paper 'Inferring Galactic Parameters from Chemical Abundances: A Multi-Star Approach' by Philcox & Rybizki (2019, submitted to ApJ, arXiv). This builds upon the Chempy and ChempyScoring codes, and a tutorial is available here. For a current version see Github.

{"references": ["Philcox & Rybizki (2019). Introduction to the ChempyMulti code (arXiv: 1909.00812)", "Philcox et al. (2018). Introduction to the ChempyScoring code (arXiv: 1712.05686)", "Rybizki et al. (2017). Introduction to the Chempy code (arXiv: 1702.08729)"]}