Rivet

Picking the low-hanging fruit: testing new physics at scale with active learning
The Contur Oracle is a ML method for testing the compatibility of proposed physics theories with existing experimental data from particle colliders. The technique makes it possible to test physics models that were impossible to probe before, and allows for large-scale testing of new physics theories.
Juan Rocamonde, Louie Corpe, Gustavs Zilgalvis, Maria Avramidou, Jon Butterworth
PDF Cite DOI
Picking the low-hanging fruit: testing new physics at scale with active learning
Testing new physics models with global comparisons to collider measurements: the Contur toolkit
The Contur package allows users to test new models against a bank of LHC measurements. This manual accompanies the first user-facing version, with the hope that external groups will be able to run their own Contur studies.
A. Buckley, J. M. Butterworth, L. Corpe, M. Habedank, D. Huang, D. Yallup, M. Altakach, G. Bassman, I. Lagwankar, Juan Rocamonde, H. Saunders, B. Waugh, G. Zilgalvis
PDF Cite DOI
Testing new physics models with global comparisons to collider measurements: the Contur toolkit