The GAMBIT Universal Model Machine: from Lagrangians to likelihoods

@article{Bloor2021TheGU,
  title={The GAMBIT Universal Model Machine: from Lagrangians to likelihoods},
  author={Sanjay Bloor and Tom'as E. Gonzalo and Pat Scott and Christopher Chang and A. R. Raklev and Jos{\'e} Eliel Camargo-Molina and Anders Kvellestad and Janina J. Renk and Peter Athron and Csaba Bal'azs},
  journal={The European Physical Journal C},
  year={2021}
}
We introduce the Universal Model Machine (), a tool for automatically generating code for the global fitting software framework , based on Lagrangian-level inputs. accepts models written symbolically in and formats, and can use either tool along with and to generate model, collider, dark matter, decay and spectrum code, as well as interfaces to corresponding versions of , , and (C "Image missing"). In this paper we describe the features, methods, usage, pathways, assumptions and current… 

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