Standard

Genetic Algorithm for Determination of the Event Collision Time and Particle Identification by Time-of-Flight at NICA SPD. / Юрченко, Семен Вячеславович; Жабицкий, Михаил.

в: Physics, Том 5, № 2, 17.04.2023, стр. 423-435.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

APA

Vancouver

Author

BibTeX

@article{fc9702a95b3642ed9897b359a2c1b073,
title = "Genetic Algorithm for Determination of the Event Collision Time and Particle Identification by Time-of-Flight at NICA SPD",
abstract = "Particle identification is an important feature of the future SPD (Spin Physics Detector) experiment at the NICA (Nuclotron-based Ion Collider fAcility) collider. In particular, the identification of particles with momenta up to a few GeV/c (with c the speed of light) by their time-of-flight facilitates the reconstruction of events of interest. The high time resolution of modern TOF (Time-Of-Flight) detectors demands the need to obtain the event collision time, t0, with comparable accuracy. While the determination of the collision time is feasible through the use of TOF signals supplemented by track reconstruction, it proves to be computationally expensive. In the presented study, a dedicated Genetic Algorithm is developed as a fast and accurate method to determine the proton–proton collision time by the measurements of the TOF detector at the SPD experiment. By using this reliable method for the t0 determination we compare different approaches for the particle identification procedure based on TOF signals.",
author = "Юрченко, {Семен Вячеславович} and Михаил Жабицкий",
year = "2023",
month = apr,
day = "17",
doi = "10.3390/physics5020030",
language = "English",
volume = "5",
pages = "423--435",
journal = "Physics (Switzerland)",
issn = "2624-8174",
publisher = "MDPI AG",
number = "2",

}

RIS

TY - JOUR

T1 - Genetic Algorithm for Determination of the Event Collision Time and Particle Identification by Time-of-Flight at NICA SPD

AU - Юрченко, Семен Вячеславович

AU - Жабицкий, Михаил

PY - 2023/4/17

Y1 - 2023/4/17

N2 - Particle identification is an important feature of the future SPD (Spin Physics Detector) experiment at the NICA (Nuclotron-based Ion Collider fAcility) collider. In particular, the identification of particles with momenta up to a few GeV/c (with c the speed of light) by their time-of-flight facilitates the reconstruction of events of interest. The high time resolution of modern TOF (Time-Of-Flight) detectors demands the need to obtain the event collision time, t0, with comparable accuracy. While the determination of the collision time is feasible through the use of TOF signals supplemented by track reconstruction, it proves to be computationally expensive. In the presented study, a dedicated Genetic Algorithm is developed as a fast and accurate method to determine the proton–proton collision time by the measurements of the TOF detector at the SPD experiment. By using this reliable method for the t0 determination we compare different approaches for the particle identification procedure based on TOF signals.

AB - Particle identification is an important feature of the future SPD (Spin Physics Detector) experiment at the NICA (Nuclotron-based Ion Collider fAcility) collider. In particular, the identification of particles with momenta up to a few GeV/c (with c the speed of light) by their time-of-flight facilitates the reconstruction of events of interest. The high time resolution of modern TOF (Time-Of-Flight) detectors demands the need to obtain the event collision time, t0, with comparable accuracy. While the determination of the collision time is feasible through the use of TOF signals supplemented by track reconstruction, it proves to be computationally expensive. In the presented study, a dedicated Genetic Algorithm is developed as a fast and accurate method to determine the proton–proton collision time by the measurements of the TOF detector at the SPD experiment. By using this reliable method for the t0 determination we compare different approaches for the particle identification procedure based on TOF signals.

UR - https://www.mendeley.com/catalogue/ce5c4c4c-79d9-3e7c-9aae-cbb6ea19abca/

U2 - 10.3390/physics5020030

DO - 10.3390/physics5020030

M3 - Article

VL - 5

SP - 423

EP - 435

JO - Physics (Switzerland)

JF - Physics (Switzerland)

SN - 2624-8174

IS - 2

ER -

ID: 104476623