We introduce BSMArt, a python program for the exploration of parameter spaces of theories Beyond the Standard Model. Especially designed for use with the SARAH family of tools, it is also sufficiently flexible to be used with a wide variety of external codes. BSMArt contains the first public release of the Active Learning scan by the same authors; but contains several additional scanning algorithms, ranging from the very simple to MultiNest and Diver. A BSMArt scan can be set up in a matter of minutes with only minimal editing of configuration files; installation scripts for all relevant tools and examples are provided.
@article{arxiv.2301.01154,
title = {BSMArt: simple and fast parameter space scans},
author = {Mark D. Goodsell and Ari Joury},
journal= {arXiv preprint arXiv:2301.01154},
year = {2023}
}
Comments
33 pages; no figures. Code available at https://goodsell.pages.in2p3.fr/bsmart/