Decision trees as an alternative for particle identification with TPC and TOF detector system

6 Jul 2022, 18:05
15m
Presentation Track 1. Machine Learning in Particle Astrophysics and High Energy Physics Session 1. ML in Particle Astrophysics and High Energy Physics

Speaker

Vladimir Papoyan (JINR)

Description

Machine Learning methods are wildly used for particle identification (PID) in experimental high energy physics nowadays. Particle identification plays an important role in high-energy physics analysis therefore determines the success of the performing an experiment. This determines importance of using machine learning to the PID problem. This report gives a preliminary status of application of decision tree to particle identification problem with TPC and TOF detector system.

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Primary author

Co-authors

Alexander Ayriyan (Laboratory of Information Technologies, JINR) Hovik Grigorian (JINR) Alexander Mudrokh (JINR)

Presentation Materials