130 citations · 310 across the 7 of their papers we have counts for
4 papers · 1 filter
The GAMBIT Universal Model Machine: from Lagrangians to Likelihoods
Sanjay Bloor, Tomás E. Gonzalo, Pat Scott +7
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.…
Thermal WIMPs and the Scale of New Physics: Global Fits of Dirac Dark Matter Effective Field Theories
The GAMBIT Collaboration, Peter Athron, Neal Avis Kozar +24
We assess the status of a wide class of WIMP dark matter (DM) models in light of the latest experimental results using the global fitting framework . We perform a…
Simple and statistically sound recommendations for analysing physical theories
Shehu S. AbdusSalam, Fruzsina J. Agocs, Benjamin C. Allanach +72
Physical theories that depend on many parameters or are tested against data from many different experiments pose unique challenges to statistical inference. Many models in particle…
Global analyses of Higgs portal singlet dark matter models using GAMBIT
The GAMBIT Collaboration, Peter Athron, Csaba Balázs +15
We present global analyses of effective Higgs portal dark matter models in the frequentist and Bayesian statistical frameworks. Complementing earlier studies of the scalar Higgs po…