Applying Deep Learning Techniques for Multiparticle Track Reconstruction of Drift Chamber Data | Vorob’ev | Nuclear Physics and Engineering

Nuclear Physics and Engineering
Âdernaâ fizika i inžiniring

ISSN 2079-5629 (Print)
ISSN 2079-5637 (Online)

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Vorob’ev V.S., Zadeba Е.А., Nikolaenko R.V., Petrukhin А.А., Troshin I.Yu. Applying Deep Learning Techniques for Multiparticle Track Reconstruction of Drift Chamber Data. Nuclear Physics and Engineering. 2021;12(1):26-31. (In Russ.) https://doi.org/10.56304/S2079562920060603

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ISSN 2079-5629 (Print)
ISSN 2079-5637 (Online)

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About the Authors

V. S. Vorob’ev
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

V. S. Vorob’ev,

Moscow, 115409.

Е. А. Zadeba
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

Е. А. Zadeba,

Moscow, 115409.

R. V. Nikolaenko
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

R. V. Nikolaenko,

Moscow, 115409.

А. А. Petrukhin
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

А. А. Petrukhin,

Moscow, 115409.

I. Yu. Troshin
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

I. Yu. Troshin,

Moscow, 115409.

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