pynucastro is a python library that provides visualization and analyze techniques to classify, construct, and evaluate nuclear reaction rates and networks. It provides tools that allow users to determine the importance of each rate in the network, based on a specified list of thermodynamic properties. Additionally, pynucastro can output a network in C++ or python for use in simulation codes, include the AMReX-Astrophysics simulation suite. We describe the changes in pynucastro since the last major release, including new capabilities that allow users to generate reduced networks and thermodynamic tables for conditions in nuclear statistical equilibrium.
@article{arxiv.2311.17357,
title = {pynucastro 2.1: an update on the development of a python library for nuclear astrophysics},
author = {Alexander Smith Clark and Eric T. Johnson and Zhi Chen and Kiran Eiden and Michael Zingale and Brendan Boyd and Parker T. Johnson and Luis Rangel DaCosta},
journal= {arXiv preprint arXiv:2311.17357},
year = {2023}
}