Journal of Instrumentation

The algorithm developed by the CMS Collaboration to reconstruct and identify ? leptons produced in proton-proton collisions at vs=7 and 8 TeV, via their decays to hadrons and a neutrino, has been significantly improved. The changes include a revised reconstruction of ?0 candidates, and improvements...

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Другие авторы: Sirunyan, Tumasyan, Adam, Ambrogi, Babaev physicist engineer-issledovatelskogo Polytechnic University, candidate of physical and mathematical Sciences, Okhotnikov physicist engineer of Tomsk Polytechnic University, Baydali specialist in the field of automation and electronics Associate Professor of Tomsk Polytechnic University, Candidate of technical sciences, vice-rector for research and innovations
Формат: Статья в сборнике
Язык:English
Публикация: 2018
Предметы:
Online-ссылка:https://doi.org/10.1088/1748-0221/13/10/P10005
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245 1 0 |a Journal of Instrumentation  |c A. M. Sirunyan [et al.] 
260 |c 2018 
500 |a Title screen 
504 |a [References: 76 tit.] 
520 |a The algorithm developed by the CMS Collaboration to reconstruct and identify ? leptons produced in proton-proton collisions at vs=7 and 8 TeV, via their decays to hadrons and a neutrino, has been significantly improved. The changes include a revised reconstruction of ?0 candidates, and improvements in multivariate discriminants to separate ? leptons from jets and electrons. The algorithm is extended to reconstruct ? leptons in highly Lorentz-boosted pair production, and in the high-level trigger. The performance of the algorithm is studied using proton-proton collisions recorded during 2016 at vs=13 TeV, corresponding to an integrated luminosity of 35.9 fb-1. The performance is evaluated in terms of the efficiency for a genuine ? lepton to pass the identification criteria and of the probabilities for jets, electrons, and muons to be misidentified as ? leptons. The results are found to be very close to those expected from Monte Carlo simulation. 
653 |a электронный ресурс 
653 |a труды учёных ТПУ 
653 |a large detector-systems performance 
653 |a particle identification methods 
653 |a performance of High Energy Physics Detectors 
653 |a детекторные устройства 
653 |a производительность 
653 |a идентификация 
653 |a детекторы 
653 |a высокая энергия 
700 1 |a Sirunyan 
700 1 |a Tumasyan 
700 1 |a Adam  |g Wolfgang 
700 1 |a Ambrogi  |g Federico 
700 1 |a Babaev  |c physicist  |c engineer-issledovatelskogo Polytechnic University, candidate of physical and mathematical Sciences  |g Anton Anatoljevich 
700 1 |a Okhotnikov  |c physicist  |c engineer of Tomsk Polytechnic University  |g Vitaly Vladimirovich 
700 1 |a Baydali  |c specialist in the field of automation and electronics  |c Associate Professor of Tomsk Polytechnic University, Candidate of technical sciences, vice-rector for research and innovations  |g Sergey Anatolievich 
856 4 |u https://doi.org/10.1088/1748-0221/13/10/P10005