Beyond Cuts in Small Signal Scenarios -- Enhanced Sneutrino Detectability Using Machine Learning

1 code implementation • 6 Aug 2021 • Daniel Alvestad, Nikolai Fomin, Jörn Kersten, Steffen Maeland, Inga Strümke

We investigate enhancing the sensitivity of new physics searches at the LHC by machine learning in the case of background dominance and a high degree of overlap between the observables for signal and background.

BIG-bench Machine Learning