Corpus ID: 235358596

BSM global fits with GAMBIT: a Dark Matter EFT fit

@inproceedings{Gonzalo2021BSMGF,
  title={BSM global fits with GAMBIT: a Dark Matter EFT fit},
  author={Tom'as E. Gonzalo},
  year={2021}
}
In this conference paper I present the first full global fit of a dark matter effective field theory with the global fitting framework GAMBIT. I show the results of exhaustive parameter space explorations of the effective dark matter model, including a general set of operators up to dimension 7, and using the most up-to-date constraints from direct and indirect detection of dark matter, relic abundance requirements and collider searches for dark matter candidates. 

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The GAMBIT Universal Model Machine: from Lagrangians to Likelihoods
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 modelsExpand

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