https://doi.org/10.1140/epjc/s10052-021-09828-9
Special Article - Tools for Experiment and Theory
The GAMBIT Universal Model Machine: from Lagrangians to likelihoods
1
Blackett Laboratory, Department of Physics, Imperial College London, Prince Consort Road, SW7 2AZ, London, UK
2
School of Mathematics and Physics, The University of Queensland, St. Lucia, 4072, Brisbane, QLD, Australia
3
Institute for Theoretical Particle Physics and Cosmology (TTK), RWTH Aachen University, 52056, Aachen, Germany
4
School of Physics and Astronomy, Monash University, 3800, Melbourne, VIC, Australia
5
Department of Physics, University of Oslo, 0316, Oslo, Norway
6
Department of Physics and Astronomy, Uppsala University, Box 516, 751 20, Uppsala, Sweden
7
Oskar Klein Centre for Cosmoparticle Physics, AlbaNova University Centre, 10691, Stockholm, Sweden
8
Department of Physics and Institute of Theoretical Physics, Nanjing Normal University, 210023, Nanjing, Jiangsu, China
b
gonzalo@physik.rwth-aachen.de
Received:
20
July
2021
Accepted:
15
November
2021
Published online:
15
December
2021
We introduce the GAMBIT Universal Model Machine (GUM), a tool for automatically generating code for the global fitting software framework GAMBIT, based on Lagrangian-level inputs. GUM accepts models written symbolically in FeynRules and SARAH formats, and can use either tool along with MadGraph and CalcHEP to generate GAMBIT model, collider, dark matter, decay and spectrum code, as well as GAMBIT interfaces to corresponding versions of SPheno, micrOMEGAs, Pythia and Vevacious (C++). In this paper we describe the features, methods, usage, pathways, assumptions and current limitations of GUM. We also give a fully worked example, consisting of the addition of a Majorana fermion simplified dark matter model with a scalar mediator to GAMBIT via GUM, and carry out a corresponding fit.
© The Author(s) 2021
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Funded by SCOAP3
