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Identification of central events in nucleus-nucleus collisions by machine learning algorithms. / Seryakov, Andrey ; Andronov, Evgeny ; Kovalenko, Vladimir .

LXXI International conference “NUCLEUS – 2021. Nuclear physics and elementary particle physics. Nuclear physics technologies” (Saint Petersburg, Russia, 20–25 September 2021): Book of Abstracts. ed. / В. Коваленко; Е. Андронов. СПб. : Издательство «ВВМ», 2021. p. 303.

Research output: Chapter in Book/Report/Conference proceeding › Conference abstracts › Research › peer-review

Harvard

Seryakov, A, Andronov, E & Kovalenko, V 2021, Identification of central events in nucleus-nucleus collisions by machine learning algorithms. in В Коваленко & Е Андронов (eds), LXXI International conference “NUCLEUS – 2021. Nuclear physics and elementary particle physics. Nuclear physics technologies” (Saint Petersburg, Russia, 20–25 September 2021): Book of Abstracts. Издательство «ВВМ», СПб., pp. 303, The LXXI International conference "NUCLEUS – 2021. Nuclear physics and elementary particle physics. Nuclear physics technologies", Санкт-Петербург, Russian Federation, 20/09/21.

APA

Seryakov, A., Andronov, E., & Kovalenko, V. (2021). Identification of central events in nucleus-nucleus collisions by machine learning algorithms. In В. Коваленко, & Е. Андронов (Eds.), LXXI International conference “NUCLEUS – 2021. Nuclear physics and elementary particle physics. Nuclear physics technologies” (Saint Petersburg, Russia, 20–25 September 2021): Book of Abstracts (pp. 303). Издательство «ВВМ».

Vancouver

Seryakov A, Andronov E, Kovalenko V. Identification of central events in nucleus-nucleus collisions by machine learning algorithms. In Коваленко В, Андронов Е, editors, LXXI International conference “NUCLEUS – 2021. Nuclear physics and elementary particle physics. Nuclear physics technologies” (Saint Petersburg, Russia, 20–25 September 2021): Book of Abstracts. СПб.: Издательство «ВВМ». 2021. p. 303

Author

Seryakov, Andrey ; Andronov, Evgeny ; Kovalenko, Vladimir . / Identification of central events in nucleus-nucleus collisions by machine learning algorithms. LXXI International conference “NUCLEUS – 2021. Nuclear physics and elementary particle physics. Nuclear physics technologies” (Saint Petersburg, Russia, 20–25 September 2021): Book of Abstracts. editor / В. Коваленко ; Е. Андронов. СПб. : Издательство «ВВМ», 2021. pp. 303

BibTeX

@inbook{228de9aafb554ef7bf12c6947ad8564a,
title = "Identification of central events in nucleus-nucleus collisions by machine learning algorithms",
author = "Andrey Seryakov and Evgeny Andronov and Vladimir Kovalenko",
year = "2021",
language = "English",
isbn = "978-5-9651-1357-6",
pages = "303",
editor = "В. Коваленко and Е. Андронов",
booktitle = "LXXI International conference “NUCLEUS – 2021. Nuclear physics and elementary particle physics. Nuclear physics technologies” (Saint Petersburg, Russia, 20–25 September 2021)",
publisher = "Издательство «ВВМ»",
address = "Russian Federation",
note = "The LXXI International conference {"}NUCLEUS – 2021. Nuclear physics and elementary particle physics. Nuclear physics technologies{"}, NUCLEUS – 2021 ; Conference date: 20-09-2021 Through 25-09-2021",
url = "https://indico.cern.ch/event/1012633/",

}

RIS

TY - CHAP

T1 - Identification of central events in nucleus-nucleus collisions by machine learning algorithms

AU - Seryakov, Andrey

AU - Andronov, Evgeny

AU - Kovalenko, Vladimir

N1 - Conference code: LXXI

PY - 2021

Y1 - 2021

UR - https://indico.cern.ch/event/1012633/attachments/2234537/3934788/book_of_abstracts_Nucleus_2021.pdf

M3 - Conference abstracts

SN - 978-5-9651-1357-6

SP - 303

BT - LXXI International conference “NUCLEUS – 2021. Nuclear physics and elementary particle physics. Nuclear physics technologies” (Saint Petersburg, Russia, 20–25 September 2021)

A2 - Коваленко, В.

A2 - Андронов, Е.

PB - Издательство «ВВМ»

CY - СПб.

T2 - The LXXI International conference "NUCLEUS – 2021. Nuclear physics and elementary particle physics. Nuclear physics technologies"

Y2 - 20 September 2021 through 25 September 2021

ER -

ID: 86484246