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

  1. 1.
    0539356 - FZÚ 2021 RIV GB eng J - Journal Article
    Boumediene, D. - Pingault, A. - Tytgat, M. - Cvach, Jaroslav - Janata, Milan - Kovalčuk, Michal - Kvasnička, Jiří - Polák, Ivo - Smolík, Jan - Vrba, Václav - Zálešák, Jaroslav - Zuklín, Josef … Total 96 authors
    Particle identification using boosted decision trees in the semi-digital hadronic calorimeter prototype.
    Journal of Instrumentation. Roč. 15, č. 10 (2020), s. 1-17, č. článku P10009. ISSN 1748-0221. E-ISSN 1748-0221
    R&D Projects: GA MŠMT(CZ) LTT17018
    Research Infrastructure: CERN-CZ II - 90104
    Institutional support: RVO:68378271
    Keywords : particle identification * CALICE * performance * GEANT * data analysis method
    OECD category: Particles and field physics
    Impact factor: 1.415, year: 2020
    Method of publishing: Limited access
    https://doi.org/10.1088/1748-0221/15/10/P10009

    Permanent Link: http://hdl.handle.net/11104/0317045
     
Number of the records: 1  

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