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On feasibility of azimuthal flow studies with Principal Component Analysis. / Altsybeev, Igor.

In: Journal of Physics: Conference Series, Vol. 1602, No. 1, 12004, 20.08.2020.

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Altsybeev, Igor. / On feasibility of azimuthal flow studies with Principal Component Analysis. In: Journal of Physics: Conference Series. 2020 ; Vol. 1602, No. 1.

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@article{b2fdcd454b1f4acf900ba2accc4020bd,
title = "On feasibility of azimuthal flow studies with Principal Component Analysis",
abstract = "It is shown that the Principal Component Analysis applied to azimuthal single-particle distributions allows to perform flow analysis in ways that are analogous to the traditional approaches based on multi-particle correlations. In particular, symmetric cumulants are considered. It is demonstrated also that statistical fluctuations due to a finite number of particles per event practically do not play a role for higher order PCA-based cumulants. ",
author = "Igor Altsybeev",
note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd.; 36th Winter Workshop on Nuclear Dynamics ; Conference date: 01-03-2020 Through 07-03-2020",
year = "2020",
month = aug,
day = "20",
doi = "10.1088/1742-6596/1602/1/012004",
language = "English",
volume = "1602",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - On feasibility of azimuthal flow studies with Principal Component Analysis

AU - Altsybeev, Igor

N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.

PY - 2020/8/20

Y1 - 2020/8/20

N2 - It is shown that the Principal Component Analysis applied to azimuthal single-particle distributions allows to perform flow analysis in ways that are analogous to the traditional approaches based on multi-particle correlations. In particular, symmetric cumulants are considered. It is demonstrated also that statistical fluctuations due to a finite number of particles per event practically do not play a role for higher order PCA-based cumulants.

AB - It is shown that the Principal Component Analysis applied to azimuthal single-particle distributions allows to perform flow analysis in ways that are analogous to the traditional approaches based on multi-particle correlations. In particular, symmetric cumulants are considered. It is demonstrated also that statistical fluctuations due to a finite number of particles per event practically do not play a role for higher order PCA-based cumulants.

UR - http://www.scopus.com/inward/record.url?scp=85091940864&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1602/1/012004

DO - 10.1088/1742-6596/1602/1/012004

M3 - Conference article

AN - SCOPUS:85091940864

VL - 1602

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 12004

T2 - 36th Winter Workshop on Nuclear Dynamics

Y2 - 1 March 2020 through 7 March 2020

ER -

ID: 88352868