Identification of c-jets in p+p and A+A collisions with machine learning

0582334 - ÚJF 2024 CZ eng D - Thesis
Mrázková, Jitka
Identification of c-jets in p+p and A+A collisions with machine learning.
Ústav jaderné fyziky AV ČR, v. v. i. Defended: Fakulta jaderná a fyzikálně inženýrská ČVUT v Praze. 05.06.2023. - Praha: České vysoké učení technické v Praze, 2023. 60 s.
Institutional support: RVO:61389005
Keywords : jet physics * charm quarks * quark-gluon plasma * machine learning
OECD category: Particles and field physics
http://hdl.handle.net/10467/108558

Jets of collimated particles are used in a wide range of analyses in high energy physics. This work is focused on identifying jets originating from heavy quarks. For this purpose, we use the recently introduced JetVLAD tagging model based on machine learning techniques. We show the performance of this model on different datasets and for different tagging approaches. The method is demonstrated on PYTHIA generated proton-proton collisions at center-of-mass energies 200 and 510
GeV, with a discussion of possible extension to higher energies available at the LHC at CERN. In the end of this work, we will discuss the possible applicability of the JetVLAD model to heavy-ion collision simulations from the JETSCAPE generator.
Permanent Link: https://hdl.handle.net/11104/0350445