Göttingen 2025 – wissenschaftliches Programm

Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe

T: Fachverband Teilchenphysik

T 86: Searches/BSM V (Misc.)

T 86.4: Vortrag

Freitag, 4. April 2025, 09:45–10:00, ZHG010

Searching for anomalous dijets in CMS data with CATHODE — •Chitrakshee Yede, Gregor Kasieczka, Louis Moureaux, Tore von Schwartz, and Manuel Sommerhalder — Institute for Experimental Physics, Universität Hamburg, Hamburg, Germany

In high-energy physics, numerous analyses conduct searches for new phenomena beyond the Standard Model. A new paradigm of model-agnostic searches has emerged based on anomaly detection which is aimed at automatically identifying deviations from the background expectation in the data using machine learning. We present the recently published analysis by the CMS Collaboration that employs such machine learning techniques. We discuss CATHODE, a method combining density estimation and weak supervision and its first-ever application on 13 TeV proton-proton collision data recorded by the CMS experiment at the LHC. This study focuses on heavy resonances decaying into two large-radius jets with anomalous substructure. This approach establishes a foundation for data-driven, model-agnostic searches, enabling the simultaneous investigation of multiple potential new physics signals within a single analysis.

Keywords: Anomaly Detection; Machine Learning; Model-agnostic; CMS; CATHODE