Development and Software Implementation of Optimal Algorithms for Event Reconstruction, Evaluation of the Quality of Event Reconstruction and Simulation of Detector Components in the BM@N Experiment

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Development and Software Implementation of Optimal Algorithms for Event Reconstruction, Evaluation of the Quality of Event Reconstruction and Simulation of Detector Components in the BM@N Experiment. / Дрюк, Андрей Викторович ; Юфрякова, Анастасия Александровна ; Кахановская, Наталья Евгеньевна ; Машицин, Константин Иванович; Мерц, Сергей Павлович; Немнюгин, Сергей Андреевич ; Руднев, Владимир Александрович.

In: Physics of Particles and Nuclei, Vol. 52, No. 4, 01.07.2021, p. 808-816.

Research output: Contribution to journal › Article › peer-review

BibTeX

@article{0dbfeff6dcee4dca887b47ea4a494f77,

title = "Development and Software Implementation of Optimal Algorithms for Event Reconstruction, Evaluation of the Quality of Event Reconstruction and Simulation of Detector Components in the BM@N Experiment",

abstract = "Abstract: The BmnRoot software package plays a crucial role in the BM@N NICA experiment and is used both for simulation and event reconstruction purposes. In this article, few approaches to optimization of simulation and event reconstruction algorithms are presented. Results of performance studies of the BmnRoot modules are obtained using software dynamic analysis. Different methods of optimization including parallelization are considered. Algorithms of tracks global matching are discussed. Results of optimization of the virtual planes method are given. Machine learning methods are analyzed from the point of view of efficiency of particle identification. Flexible and optimal extension of the quality assurance module of the BmnRoot is described. Analysis of fragments for SRC studies with the BM@N experiment is also discussed.",

author = "Дрюк, {Андрей Викторович} and Юфрякова, {Анастасия Александровна} and Кахановская, {Наталья Евгеньевна} and Машицин, {Константин Иванович} and Мерц, {Сергей Павлович} and Немнюгин, {Сергей Андреевич} and Руднев, {Владимир Александрович}",

note = "Publisher Copyright: {\textcopyright} 2021, Pleiades Publishing, Ltd.",

year = "2021",

month = jul,

day = "1",

doi = "10.1134/s1063779621040237",

language = "English",

volume = "52",

pages = "808--816",

journal = "Physics of Particles and Nuclei",

issn = "1063-7796",

publisher = "МАИК {"}Наука/Интерпериодика{"}",

number = "4",

}

RIS

TY - JOUR

T1 - Development and Software Implementation of Optimal Algorithms for Event Reconstruction, Evaluation of the Quality of Event Reconstruction and Simulation of Detector Components in the BM@N Experiment

AU - Дрюк, Андрей Викторович

AU - Юфрякова, Анастасия Александровна

AU - Кахановская, Наталья Евгеньевна

AU - Машицин, Константин Иванович

AU - Мерц, Сергей Павлович

AU - Немнюгин, Сергей Андреевич

AU - Руднев, Владимир Александрович

PY - 2021/7/1

Y1 - 2021/7/1

N2 - Abstract: The BmnRoot software package plays a crucial role in the BM@N NICA experiment and is used both for simulation and event reconstruction purposes. In this article, few approaches to optimization of simulation and event reconstruction algorithms are presented. Results of performance studies of the BmnRoot modules are obtained using software dynamic analysis. Different methods of optimization including parallelization are considered. Algorithms of tracks global matching are discussed. Results of optimization of the virtual planes method are given. Machine learning methods are analyzed from the point of view of efficiency of particle identification. Flexible and optimal extension of the quality assurance module of the BmnRoot is described. Analysis of fragments for SRC studies with the BM@N experiment is also discussed.

AB - Abstract: The BmnRoot software package plays a crucial role in the BM@N NICA experiment and is used both for simulation and event reconstruction purposes. In this article, few approaches to optimization of simulation and event reconstruction algorithms are presented. Results of performance studies of the BmnRoot modules are obtained using software dynamic analysis. Different methods of optimization including parallelization are considered. Algorithms of tracks global matching are discussed. Results of optimization of the virtual planes method are given. Machine learning methods are analyzed from the point of view of efficiency of particle identification. Flexible and optimal extension of the quality assurance module of the BmnRoot is described. Analysis of fragments for SRC studies with the BM@N experiment is also discussed.

UR - http://www.scopus.com/inward/record.url?scp=85114316617&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/29a20568-bfd8-38b4-9aa0-a10ad9df2719/

U2 - 10.1134/s1063779621040237

DO - 10.1134/s1063779621040237

M3 - Article

VL - 52

SP - 808

EP - 816

JO - Physics of Particles and Nuclei

JF - Physics of Particles and Nuclei

SN - 1063-7796

IS - 4

ER -

ID: 85299904