Light-quark and gluon jet discrimination in collisions at root s=7 TeV with the ATLAS detector

A likelihood-based discriminant for the identification of quark- and gluon-initiated jets is built and validated using 4.7 fb(Formula presented.) of proton–proton collision data at (Formula presented.) collected with the ATLAS detector at the LHC. Data samples with enriched quark or gluon content ar...

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Main Authors: Aad, G, Abbott, B, Abdallah, J, Khalek, SA, Abdinov, O, Aben, R, Abi, B, Abolins, M, AbouZeid, O, Abramowicz, H, Abreu, H, Abreu, R, Abulaiti, Y, Acharya, B, Adamczyk, L, Adams, D, Adelman, J, Adomeit, S, Adye, T, Agatonovic-Jovin, T, Aguilar-Saavedra, J, Agustoni, M, Ahlen, S, Ahmad, A, Ahmadov, F
Format: Journal article
Language:English
Published: Springer New York LLC 2014
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author Aad, G
Abbott, B
Abdallah, J
Khalek, SA
Abdinov, O
Aben, R
Abi, B
Abolins, M
AbouZeid, O
Abramowicz, H
Abreu, H
Abreu, R
Abulaiti, Y
Acharya, B
Adamczyk, L
Adams, D
Adelman, J
Adomeit, S
Adye, T
Agatonovic-Jovin, T
Aguilar-Saavedra, J
Agustoni, M
Ahlen, S
Ahmad, A
Ahmadov, F
author_facet Aad, G
Abbott, B
Abdallah, J
Khalek, SA
Abdinov, O
Aben, R
Abi, B
Abolins, M
AbouZeid, O
Abramowicz, H
Abreu, H
Abreu, R
Abulaiti, Y
Acharya, B
Adamczyk, L
Adams, D
Adelman, J
Adomeit, S
Adye, T
Agatonovic-Jovin, T
Aguilar-Saavedra, J
Agustoni, M
Ahlen, S
Ahmad, A
Ahmadov, F
author_sort Aad, G
collection OXFORD
description A likelihood-based discriminant for the identification of quark- and gluon-initiated jets is built and validated using 4.7 fb(Formula presented.) of proton–proton collision data at (Formula presented.) collected with the ATLAS detector at the LHC. Data samples with enriched quark or gluon content are used in the construction and validation of templates of jet properties that are the input to the likelihood-based discriminant. The discriminating power of the jet tagger is established in both data and Monte Carlo samples within a systematic uncertainty of (Formula presented.) 10–20 %. In data, light-quark jets can be tagged with an efficiency of (Formula presented.) while achieving a gluon-jet mis-tag rate of (Formula presented.) in a (Formula presented.) range between (Formula presented.) and (Formula presented.) for jets in the acceptance of the tracker. The rejection of gluon-jets found in the data is significantly below what is attainable using a Pythia 6 Monte Carlo simulation, where gluon-jet mis-tag rates of 10 % can be reached for a 50 % selection efficiency of light-quark jets using the same jet properties.
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spelling oxford-uuid:c9a64aa1-b6dd-47a9-8194-196ebb3278202022-03-27T07:00:58ZLight-quark and gluon jet discrimination in collisions at root s=7 TeV with the ATLAS detectorJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:c9a64aa1-b6dd-47a9-8194-196ebb327820EnglishSymplectic Elements at OxfordSpringer New York LLC2014Aad, GAbbott, BAbdallah, JKhalek, SAAbdinov, OAben, RAbi, BAbolins, MAbouZeid, OAbramowicz, HAbreu, HAbreu, RAbulaiti, YAcharya, BAdamczyk, LAdams, DAdelman, JAdomeit, SAdye, TAgatonovic-Jovin, TAguilar-Saavedra, JAgustoni, MAhlen, SAhmad, AAhmadov, FA likelihood-based discriminant for the identification of quark- and gluon-initiated jets is built and validated using 4.7 fb(Formula presented.) of proton–proton collision data at (Formula presented.) collected with the ATLAS detector at the LHC. Data samples with enriched quark or gluon content are used in the construction and validation of templates of jet properties that are the input to the likelihood-based discriminant. The discriminating power of the jet tagger is established in both data and Monte Carlo samples within a systematic uncertainty of (Formula presented.) 10–20 %. In data, light-quark jets can be tagged with an efficiency of (Formula presented.) while achieving a gluon-jet mis-tag rate of (Formula presented.) in a (Formula presented.) range between (Formula presented.) and (Formula presented.) for jets in the acceptance of the tracker. The rejection of gluon-jets found in the data is significantly below what is attainable using a Pythia 6 Monte Carlo simulation, where gluon-jet mis-tag rates of 10 % can be reached for a 50 % selection efficiency of light-quark jets using the same jet properties.
spellingShingle Aad, G
Abbott, B
Abdallah, J
Khalek, SA
Abdinov, O
Aben, R
Abi, B
Abolins, M
AbouZeid, O
Abramowicz, H
Abreu, H
Abreu, R
Abulaiti, Y
Acharya, B
Adamczyk, L
Adams, D
Adelman, J
Adomeit, S
Adye, T
Agatonovic-Jovin, T
Aguilar-Saavedra, J
Agustoni, M
Ahlen, S
Ahmad, A
Ahmadov, F
Light-quark and gluon jet discrimination in collisions at root s=7 TeV with the ATLAS detector
title Light-quark and gluon jet discrimination in collisions at root s=7 TeV with the ATLAS detector
title_full Light-quark and gluon jet discrimination in collisions at root s=7 TeV with the ATLAS detector
title_fullStr Light-quark and gluon jet discrimination in collisions at root s=7 TeV with the ATLAS detector
title_full_unstemmed Light-quark and gluon jet discrimination in collisions at root s=7 TeV with the ATLAS detector
title_short Light-quark and gluon jet discrimination in collisions at root s=7 TeV with the ATLAS detector
title_sort light quark and gluon jet discrimination in collisions at root s 7 tev with the atlas detector
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