# GAMBIT: The Global and Modular Beyond-the-Standard-Model Inference Tool

**Authors:** The GAMBIT Collaboration: Peter Athron, Csaba Balazs, Torsten, Bringmann, Andy Buckley, Marcin Chrz\k{a}szcz, Jan Conrad, Jonathan M., Cornell, Lars A. Dal, Hugh Dickinson, Joakim Edsj\"o, Ben Farmer, Tom\'as E., Gonzalo, Paul Jackson, Abram Krislock, Anders Kvellestad, Johan Lundberg,, James McKay, Farvah Mahmoudi, Gregory D. Martinez, Antje Putze, Are Raklev,, Joachim Ripken, Christopher Rogan, Aldo Saavedra, Christopher Savage, Pat, Scott, Seon-Hee Seo, Nicola Serra, Christoph Weniger, Martin White, Sebastian, Wild

arXiv: 1705.07908 · 2020-08-06

## TL;DR

GAMBIT is an open-source, modular software framework designed for comprehensive global fits of particle physics models, integrating various calculations, statistical tools, and external codes to facilitate beyond-the-Standard-Model research.

## Contribution

It introduces a flexible, hierarchical platform that streamlines model analysis, combining multiple computational and statistical tools in a unified, extendable environment.

## Key findings

- Enables extensive model scans with improved speed and safety
- Supports a wide range of particle and astroparticle physics observables
- Provides a modular architecture for easy extension and customization

## Abstract

We describe the open-source global fitting package GAMBIT: the Global And Modular Beyond-the-Standard-Model Inference Tool. GAMBIT combines extensive calculations of observables and likelihoods in particle and astroparticle physics with a hierarchical model database, advanced tools for automatically building analyses of essentially any model, a flexible and powerful system for interfacing to external codes, a suite of different statistical methods and parameter scanning algorithms, and a host of other utilities designed to make scans faster, safer and more easily-extendible than in the past. Here we give a detailed description of the framework, its design and motivation, and the current models and other specific components presently implemented in GAMBIT. Accompanying papers deal with individual modules and present first GAMBIT results. GAMBIT can be downloaded from gambit.hepforge.org.

## Full text

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## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/1705.07908/full.md

## References

186 references — full list in the complete paper: https://tomesphere.com/paper/1705.07908/full.md

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Source: https://tomesphere.com/paper/1705.07908