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AKPIK: Arbeitskreis Physik, moderne Informationstechnologie und Künstliche Intelligenz

AKPIK 2: Applications in Particle and Astroparticle Physics

AKPIK 2.1: Talk

Tuesday, March 21, 2023, 17:00–17:15, ZEU/0118

Studies of Machine Learning Inspired Clustering Algorithms for Jets — Amrita Bhattacherjee¹, Debarghya Ghoshdastidar¹, Stefan Kluth², and •Siddha Hill² — ¹Technical University of Munich — ²Max Planck Institute for Physics, Munich

We study several machine learning inspired clustering algorithms to cluster the particles of hadronic final states in high energy e+e- and pp collisions into jets. We compare their performance against well known algorithms such as JADE or Anti-Kt. Performance indicators are physically motivated and study properties such as energy and angle differences of jets transitioning from parton to hadron level. In addition we also investigate the stability against pileup.