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arXiv · 1705.07908

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

The GAMBIT Collaboration·Peter Athron·Csaba Balazs·Torsten Bringmann·Andy Buckley·Marcin Chrząszcz·Jan Conrad·Jonathan M. Cornell·Lars A. Dal·Hugh Dickinson·Joakim Edsjö·Ben Farmer·Tomás 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
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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.

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The GAMBIT Collaboration, Peter Athron, Csaba Balazs, Torsten Bringmann, Andy Buckley, Marcin Chrząszcz, Jan Conrad, Jonathan M. Cornell, Lars A. Dal, Hugh Dickinson, Joakim Edsjö, Ben Farmer, Tomás 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. 2017-11-03. GAMBIT: The Global and Modular Beyond-the-Standard-Model Inference Tool. https://doi.org/10.1140/epjc%2Fs10052-017-5321-8

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