Nov 4 – 8, 2024
LPNHE, Paris, France
Europe/Paris timezone

Resonant Searches as Cut and Count Experiments

Nov 8, 2024, 10:00 AM
20m
Amphi Charpak

Amphi Charpak

Speaker

Marie Hein (RWTH Aachen University)

Description

Weakly supervised anomaly detection has been shown to have great potential for improving traditional resonance searches. We demonstrate that weak supervision offers a unique opportunity to turn a resonance search into a simple cut-and-count experiment, where the potential problem of background sculpting in a traditional bump hunt is absent. Moreover, the cut-and-count setting allows working with large background rejection rates, where weakly supervised methods typically show their greatest significance improvement. Our method also provides a simple way to benchmark weakly supervised anomaly detection approaches in an end-to-end application. We quantify the performance of such a cut-and-count search using the CWoLa and Cathode approaches on the LHC Olympics R&D dataset.

Track Anomaly detection

Authors

Dr Alexander Mück (RWTH Aachen University) David Shih Gregor Kasieczka (Hamburg University (DE)) Marie Hein (RWTH Aachen University) Michael Kramer (Rheinisch Westfaelische Tech. Hoch. (DE)) Ranit Das (Rutgers University) Thorben Finke

Presentation materials