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T: Fachverband Teilchenphysik

T 54: Data, AI, Computing, Electronics V (Anomaly Detection, Event Selection)

T 54.1: Vortrag

Mittwoch, 2. April 2025, 16:15–16:30, VG 2.101

Latest developments of CATHODE — •Tore von Schwartz, Gregor Kasieczka, Louis Moureaux, Chitrakshee Yede, and Manuel Sommerhalder — Institut für Experimentalphysik, Universität Hamburg

Despite an extensive search program at the LHC, no hints for new physics have been found so far. Anomaly detection has been introduced as a bridge between generic searches and searches targeting a specific signal. CATHODE as a model-agnostic anomaly detection method is designed to enhance resonant signals in the smoothly falling dijet invariant mass spectrum. It has been applied in the latest CMS anomaly search. We present the most recent developments to CATHODE improving its reliability and versatility in uncovering potential new physics signals.

Keywords: Anomaly Detection; Machine Learning; CATHODE; model-agnostic; dijet