Number of the records: 1  

Particle identification using boosted decision trees in the semi-digital hadronic calorimeter prototype

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    SYSNO ASEP0539356
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleParticle identification using boosted decision trees in the semi-digital hadronic calorimeter prototype
    Author(s) Boumediene, D. (FR)
    Pingault, A. (BE)
    Tytgat, M. (BE)
    Cvach, Jaroslav (FZU-D) RID, ORCID
    Janata, Milan (FZU-D) RID
    Kovalčuk, Michal (FZU-D)
    Kvasnička, Jiří (FZU-D) RID, ORCID
    Polák, Ivo (FZU-D) RID, ORCID
    Smolík, Jan (FZU-D) RID, ORCID
    Vrba, Václav (FZU-D) RID, ORCID
    Zálešák, Jaroslav (FZU-D) RID, ORCID
    Zuklín, Josef (FZU-D) ORCID
    Number of authors96
    Article numberP10009
    Source TitleJournal of Instrumentation. - : Institute of Physics Publishing - ISSN 1748-0221
    Roč. 15, č. 10 (2020), s. 1-17
    Number of pages17 s.
    Languageeng - English
    CountryGB - United Kingdom
    Keywordsparticle identification ; CALICE ; performance ; GEANT ; data analysis method
    Subject RIVBF - Elementary Particles and High Energy Physics
    OECD categoryParticles and field physics
    R&D ProjectsLTT17018 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    Research InfrastructureCERN-CZ II - 90104 - Fyzikální ústav AV ČR, v. v. i.
    Method of publishingLimited access
    Institutional supportFZU-D - RVO:68378271
    UT WOS000577278000009
    EID SCOPUS85094665262
    DOI10.1088/1748-0221/15/10/P10009
    AnnotationThe CALICE Semi-Digital Hadronic CALorimeter (SDHCAL) prototype using Glass Resistive Plate Chambers as a sensitive medium is the first technological prototype of a family of high-granularity calorimeters developed by the CALICE collaboration to equip the experiments of future leptonic colliders. It was exposed to beams of hadrons, electrons and muons several times in the CERN PS and SPS beamlines between 2012 and 2018. We present here a new method of particle identification within the SDHCAL using the Boosted Decision Trees (BDT) method applied to the data collected in 2015. The performance of the method is tested first with Geant4-based simulated events and then on the data collected by the SDHCAL in the energy range between 10 and 80 GeV with 10 GeV energy steps. The BDT method is then used to reject the electrons and muons that contaminate the SPS hadron beams.
    WorkplaceInstitute of Physics
    ContactKristina Potocká, potocka@fzu.cz, Tel.: 220 318 579
    Year of Publishing2021
    Electronic addresshttps://doi.org/10.1088/1748-0221/15/10/P10009
Number of the records: 1  

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