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  3. Measurements of b-jet tagging efficiency with the ATLAS detector using tt̅ events at √s = 13 TeV
 

Measurements of b-jet tagging efficiency with the ATLAS detector using tt̅ events at √s = 13 TeV

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BORIS DOI
10.7892/boris.129055
Publisher DOI
10.1007/JHEP08(2018)089
Description
The efficiency to identify jets containing b-hadrons (b-jets) is measured using a high purity sample of dileptonic top quark-antiquark pairs (tt̅ ) selected from the 36.1 fb⁻¹ of data collected by the ATLAS detector in 2015 and 2016 from proton-proton collisions produced by the Large Hadron Collider at a centre-of-mass energy √s = 13TeV. Two methods are used to extract the efficiency from tt̅ events, a combinatorial likelihood approach and a tag-and-probe method. A boosted decision tree, not using b-tagging information, is used to select events in which two b-jets are present, which reduces the dominant uncertainty in the modelling of the avour of the jets. The efficiency is extracted for jets in a transverse momentum range from 20 to 300 GeV, with data-to-simulation scale factors calculated by comparing the efficiency measured using collision data to that predicted by the simulation. The two methods give compatible results, and achieve a similar level of precision, measuring data-to-simulation scale factors close to unity with uncertainties ranging from 2% to 12% depending on the jet transverse momentum.
Date of Publication
2018-08
Publication Type
Article
Subject(s)
500 Science > 530 Physics
Language(s)
en
Contributor(s)
Rimoldi, Marco
Mullier, Geoffrey
Miucci, Antonio
Merlassino, Claudia
Haug, Sigveorcid-logo
Physikalisches Institut, Laboratorium für Hochenergiephysik (LHEP)
Weber, Michaelorcid-logo
Physikalisches Institut, Laboratorium für Hochenergiephysik (LHEP)
Meloni, Federico
Beck, Hans Peterorcid-logo
Physikalisches Institut, Laboratorium für Hochenergiephysik (LHEP)
Ereditato, Antonio
Additional Credits
Physikalisches Institut, Laboratorium für Hochenergiephysik (LHEP)
Series
Journal of High Energy Physics
Publisher
Springer
ISSN
1029-8479
Access(Rights)
open.access
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