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.
| Agreement to place | Participants agree to post their abstracts and presentations online at the workshop website. All materials will be placed in the form in which they were provided by the authors |
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Primary author
Vladimir Papoyan
(JINR)
Co-authors
Alexander Ayriyan
(Laboratory of Information Technologies, JINR)
Hovik Grigorian
(JINR)
Alexander Mudrokh
(JINR)
