Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/3320
Title: | Atlas B-Jet Identification Performance and Efficiency Measurement With Tt¯ Events in Pp Collisions at ?s=13 Tev | Authors: | The ATLAS Collaboration Sultansoy, Saleh |
Keywords: | Collisions jets proton–proton collisions |
Publisher: | Springer | Source: | ATLAS collaboration. (2019). ATLAS b-jet identification performance and efficiency measurement with $$ t {\bar {t}} $$ events in pp collisions at $$\sqrt {s}= 13$$ s= 13 TeV. The European Physical Journal C, 79(11), 970. | Abstract: | The algorithms used by the ATLAS Collaboration during Run 2 of the Large Hadron Collider to identify jets containing b-hadrons are presented. The performance of the algorithms is evaluated in the simulation and the efficiency with which these algorithms identify jets containing b-hadrons is measured in collision data. The measurement uses a likelihood-based method in a sample highly enriched in tt¯ events. The topology of the t→ Wb decays is exploited to simultaneously measure both the jet flavour composition of the sample and the efficiency in a transverse momentum range from 20 to 600 GeV. The efficiency measurement is subsequently compared with that predicted by the simulation. The data used in this measurement, corresponding to a total integrated luminosity of 80.5 fb - 1, were collected in proton–proton collisions during the years 2015–2017 at a centre-of-mass energy s= 13 TeV. By simultaneously extracting both the efficiency and jet flavour composition, this measurement significantly improves the precision compared to previous results, with uncertainties ranging from 1 to 8% depending on the jet transverse momentum. © 2019, CERN for the benefit of the ATLAS collaboration. | URI: | https://link.springer.com/article/10.1140%2Fepjc%2Fs10052-019-7450-8 https://hdl.handle.net/20.500.11851/3320 |
ISSN: | 14346044 |
Appears in Collections: | Malzeme Bilimi ve Nanoteknoloji Mühendisliği Bölümü / Department of Material Science & Nanotechnology Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
saleh_identification.pdf | 2.24 MB | Adobe PDF | View/Open |
CORE Recommender
SCOPUSTM
Citations
60
checked on Dec 21, 2024
WEB OF SCIENCETM
Citations
209
checked on Dec 21, 2024
Page view(s)
114
checked on Dec 23, 2024
Download(s)
72
checked on Dec 23, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.