A new calibration method for charm jet identification validated with proton-proton collision events at √s=13 TeV
Yazarlar (1)
Prof. Dr. Hasan OĞUL Sinop Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
|
||
| Dergi Adı | Journal of Instrumentation (Q3) | ||
| Dergi ISSN | 1748-0221 Dergi Bilgileri (2022) | ||
| Makale Dili | İngilizce | Basım Tarihi | 03-2022 |
| Cilt / Sayı / Sayfa | 17 / 3 / – | DOI | 10.1088/1748-0221/17/03/P03014 |
| Makale Linki | http://www.scopus.com/inward/record.url?eid=2-s2.0-85127541495&partnerID=MN8TOARS | ||
| UAK Araştırma Alanları |
Fen Bilimleri ve Matematik
|
||
| Özet |
| Many measurements at the LHC require efficient identification of heavy-flavour jets, i.e. jets originating from bottom (b) or charm (c) quarks. An overview of the algorithms used to identify c jets is described and a novel method to calibrate them is presented. This new method adjusts the entire distributions of the outputs obtained when the algorithms are applied to jets of different flavours. It is based on an iterative approach exploiting three distinct control regions that are enriched with either b jets, c jets, or light-flavour and gluon jets. Results are presented in the form of correction factors evaluated using proton-proton collision data with an integrated luminosity of 41.5 fb-1 at √s = 13 TeV, collected by the CMS experiment in 2017. The closure of the method is tested by applying the measured correction factors on simulated data sets and checking the agreement between the adjusted simulation and … |
| Anahtar Kelimeler |
| Large detector-systems performance | Pattern recognition, cluster finding, calibration and fitting methods |
