The GAMBIT Universal Model Machine: from Lagrangians to likelihoods

• Published in: The European physical journal. C, Particles and fields Vol. 81; no. 12; pp. 1 - 30
• Main Authors: Bloor, Sanjay, Gonzalo, Tomás E., Scott, Pat, Chang, Christopher, Raklev, Are, Camargo-Molina, José Eliel, Kvellestad, Anders, Renk, Janina J., Athron, Peter, Balázs, Csaba
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2021; Springer Nature B.V; SpringerOpen
• Subjects: Astronomy; Astrophysics and Cosmology; Automation; C plus plus; Cosmology; Dark matter; Elementary Particles; Fermions; Hadrons; Heavy Ions; Measurement Science and Instrumentation; Nuclear Energy; Nuclear Physics; Particle physics; Phenomenology; Physics; Physics and Astronomy; Quantum Field Theories; Quantum Field Theory; Special Article - Tools for Experiment and Theory; String Theory
• ISSN: 1434-6044; 1434-6052; 1434-6052
• DOI: 10.1140/epjc/s10052-021-09828-9

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.