Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV
Yazarlar (1)
Prof. Dr. Hasan OĞUL Sinop Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Journal of Instrumentation (Q2) | ||
| Dergi ISSN | 1748-0221 Dergi Bilgileri (2018) | ||
| Dergi Tarandığı Indeksler | SCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 05-2018 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 08-05-2018 |
| Cilt / Sayı / Sayfa | 13 / 5 / 5011–5011 | DOI | 10.1088/1748-0221/13/05/P05011 |
| Makale Linki | http://stacks.iop.org/1748-0221/13/i=05/a=P05011?key=crossref.7aacb2b4efc5fdb367e448b2afa34db3 | ||
| UAK Araştırma Alanları |
Nükleer Fizik
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| Özet |
| Many measurements and searches for physics beyond the standard model at the LHC rely on the efficient identification of heavy-flavour jets, i.e. jets originating from bottom or charm quarks. In this paper, the discriminating variables and the algorithms used for heavy-flavour jet identification during the first years of operation of the CMS experiment in proton-proton collisions at a centre-of-mass energy of 13 TeV, are presented. Heavy-flavour jet identification algorithms have been improved compared to those used previously at centre-of-mass energies of 7 and 8 TeV. For jets with transverse momenta in the range expected in simulated t̄ events, these new developments result in an efficiency of 68% for the correct identification of a b jet for a probability of 1% of misidentifying a light-flavour jet. The improvement in relative efficiency at this misidentification probability is about 15%, compared to previous CMS algorithms … |
| Anahtar Kelimeler |
| Particle identification methods | Pattern recognition, cluster finding, calibration and fitting methods | Performance of High Energy Physics Detectors |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 206 |
| Scopus | 514 |
| Google Scholar | 2631 |