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

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 <inline-formula><math xmlns="http://www.w3.org/1998...

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Main Authors: Semyon Yurchenko, Mikhail Zhabitsky
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Physics
Subjects:
Online Access:https://www.mdpi.com/2624-8174/5/2/30
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author Semyon Yurchenko
Mikhail Zhabitsky
author_facet Semyon Yurchenko
Mikhail Zhabitsky
author_sort Semyon Yurchenko
collection DOAJ
description 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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>GeV</mi><mo>/</mo><mi>c</mi></mrow></semantics></math></inline-formula> (with <i>c</i> 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, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>t</mi><mn>0</mn></msub></semantics></math></inline-formula>, 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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>t</mi><mn>0</mn></msub></semantics></math></inline-formula> determination we compare different approaches for the particle identification procedure based on TOF signals.
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spelling doaj.art-02a7503932294a4b836051de23ef63b22023-11-18T12:08:49ZengMDPI AGPhysics2624-81742023-04-015242343510.3390/physics5020030Genetic Algorithm for Determination of the Event Collision Time and Particle Identification by Time-of-Flight at NICA SPDSemyon Yurchenko0Mikhail Zhabitsky1Laboratory of Ultra-High Energy Physics, Saint Petersburg State University, St. Petersburg 199034, RussiaDzhelepov Laboratory of Nuclear Problems, Joint Institute for Nuclear Research, Dubna 141980, RussiaParticle 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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>GeV</mi><mo>/</mo><mi>c</mi></mrow></semantics></math></inline-formula> (with <i>c</i> 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, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>t</mi><mn>0</mn></msub></semantics></math></inline-formula>, 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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>t</mi><mn>0</mn></msub></semantics></math></inline-formula> determination we compare different approaches for the particle identification procedure based on TOF signals.https://www.mdpi.com/2624-8174/5/2/30genetic algorithmtime-of-flightparticle identificationspin physicsNICA projectSPD
spellingShingle Semyon Yurchenko
Mikhail Zhabitsky
Genetic Algorithm for Determination of the Event Collision Time and Particle Identification by Time-of-Flight at NICA SPD
Physics
genetic algorithm
time-of-flight
particle identification
spin physics
NICA project
SPD
title Genetic Algorithm for Determination of the Event Collision Time and Particle Identification by Time-of-Flight at NICA SPD
title_full Genetic Algorithm for Determination of the Event Collision Time and Particle Identification by Time-of-Flight at NICA SPD
title_fullStr Genetic Algorithm for Determination of the Event Collision Time and Particle Identification by Time-of-Flight at NICA SPD
title_full_unstemmed Genetic Algorithm for Determination of the Event Collision Time and Particle Identification by Time-of-Flight at NICA SPD
title_short Genetic Algorithm for Determination of the Event Collision Time and Particle Identification by Time-of-Flight at NICA SPD
title_sort genetic algorithm for determination of the event collision time and particle identification by time of flight at nica spd
topic genetic algorithm
time-of-flight
particle identification
spin physics
NICA project
SPD
url https://www.mdpi.com/2624-8174/5/2/30
work_keys_str_mv AT semyonyurchenko geneticalgorithmfordeterminationoftheeventcollisiontimeandparticleidentificationbytimeofflightatnicaspd
AT mikhailzhabitsky geneticalgorithmfordeterminationoftheeventcollisiontimeandparticleidentificationbytimeofflightatnicaspd