Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at √s=13 TeV
Oluşturanlar
- 1. Yerevan Phys Inst, Yerevan, Armenia
- 2. Inst Hochenergiephys, Vienna, Austria
Açıklama
The identification of prompt and isolated muons, as well as muons from heavy -flavour hadron decays, is an important task. We developed two multivariate techniques to provide highly efficient identification for muons with transverse momentum greater than 10 GeV. One provides a continuous variable as an alternative to a cut -based identification selection and offers a better discrimination power against misidentified muons. The other one selects prompt and isolated muons by using isolation requirements to reduce the contamination from nonprompt muons arising in heavy-flavour hadron decays. Both algorithms are developed using 59.7 fb-1 of proton-proton collisions data at a centre-of-mass energy of root s = 13 TeV collected in 2018 with the CMS experiment at the CERN LHC.
Dosyalar
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Dosyalar
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