SMuK 2023 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 106: Searches IV

T 106.1: Vortrag

Donnerstag, 23. März 2023, 15:50–16:05, HSZ/0403

Using Density Estimation for Resonance Searches at the LHC — Thorben Finke, •Marie Hein, Michael Krämer, and Alexander Mück — Institute for Theoretical Particle Physics and Cosmology (TTK), RWTH Aachen University, Germany

We demonstrate an end-to-end application of model-agnostic weakly supervised machine learning methods improving a traditional resonant anomaly search. In particular we focus on the Cathode method and show its superior performance and its limitation at the example of the LHC Olympics R&D data set. For our specific search strategy, we discuss the treatment of systematic errors, however, the potential issue of background sculpting is absent. The method is powerful at present and will benefit substantially from increased statistics to be collected at the LHC.