BSMArt: simple and fast parameter space scans

TL;DR

BSMArt is a Python tool that enables quick, flexible, and efficient parameter space scans for theories beyond the Standard Model, integrating various algorithms and user-friendly setup.

Contribution

It introduces BSMArt, a versatile software package that simplifies and accelerates parameter scans, including the first public release of Active Learning methods for this purpose.

Findings

Includes multiple scanning algorithms like MultiNest and Diver.

Provides rapid setup with minimal configuration.

Facilitates exploration of BSM theories with flexible external code integration.

Abstract

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.