Active learning

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
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Picking the low-hanging fruit: testing new physics at scale with active learning