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Machine-Learning-based global particle-identification algorithms at the LHCb experiment / Derkach, Denis (Higher Sch. of Economics, Moscow ; Yandex Sch. Data Anal., Moscow) ; Hushchyn, Mikhail (Higher Sch. of Economics, Moscow ; Yandex Sch. Data Anal., Moscow ; Moscow, MIPT) ; Likhomanenko, Tatiana (Yandex Sch. Data Anal., Moscow ; Kurchatov Inst., Moscow) ; Rogozhnikov, Alex (Yandex Sch. Data Anal., Moscow) ; Kazeev, Nikita (Higher Sch. of Economics, Moscow ; Yandex Sch. Data Anal., Moscow) ; Chekalina, Victoria (Higher Sch. of Economics, Moscow ; Yandex Sch. Data Anal., Moscow) ; Neychev, Radoslav (Higher Sch. of Economics, Moscow ; Yandex Sch. Data Anal., Moscow) ; Kirillov, Stanislav (Yandex Sch. Data Anal., Moscow) ; Ratnikov, Fedor (Higher Sch. of Economics, Moscow ; Yandex Sch. Data Anal., Moscow) /LHCb
One of the most important aspects of data analysis at the LHC experiments is the particle identification (PID). In LHCb, several different sub-detectors provide PID information: two Ring Imaging Cherenkov (RICH) detectors, the hadronic and electromagnetic calorimeters, and the muon chambers. [...]
2018 - 5 p. - Published in : J. Phys.: Conf. Ser. 1085 (2018) 042038 Fulltext: PDF;
In : 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Seattle, WA, USA, 21 - 25 Aug 2017, pp.042038

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