178 citations · 326 across the 7 of their papers we have counts for
3 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…