The Particle Track Reconstruction based on deep Neural networks

The Particle Track Reconstruction based on deep Neural networks

One of the most important problems of data processing in high energy and nuclear physics is the event reconstruction. Its main part is the track reconstruction procedure which consists in looking for all tracks that elementary particles leave when they pass through a detector among a huge number of...

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Bibliographic Details
Main Authors:	Baranov Dmitriy, Mitsyn Sergey, Goncharov Pavel, Ososkov Gennady
Format:	Article
Language:	English
Published:	EDP Sciences 2019-01-01
Series:	EPJ Web of Conferences
Online Access:	https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_06018.pdf

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