1. The GAMBIT Universal Model Machine: from Lagrangians to likelihoods
- Author
-
Sanjay Bloor, Tomás E. Gonzalo, Pat Scott, Christopher Chang, Are Raklev, José Eliel Camargo-Molina, Anders Kvellestad, Janina J. Renk, Peter Athron, and Csaba Balázs
- Subjects
Physics and Astronomy (miscellaneous) ,010308 nuclear & particles physics ,FOS: Physical sciences ,QC770-798 ,Astrophysics ,01 natural sciences ,Subatomär fysik ,QB460-466 ,High Energy Physics - Phenomenology ,High Energy Physics - Phenomenology (hep-ph) ,Nuclear and particle physics. Atomic energy. Radioactivity ,Subatomic Physics ,0103 physical sciences ,ddc:530 ,010306 general physics ,Engineering (miscellaneous) - Abstract
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., 32 pages, 6 figures, 3 tables
- Published
- 2021