ATLAS b-jet identification performance and efficiency measurement with tt¯ events in pp collisions at √s=13 TeV

ATLAS Collaboration

doi:10.1140/epjc/s10052-019-7450-8

ATLAS b-jet identification performance and efficiency measurement with tt¯ events in pp collisions at √s=13 TeV

ATLAS Collaboration

School of Physics and Astronomy

Research output: Contribution to journal › Article › peer-review

273 Scopus citations

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.

Original language	English
Article number	970
Journal	European Physical Journal C
Volume	79
Issue number	11
DOIs	https://doi.org/10.1140/epjc/s10052-019-7450-8
State	Published - 1 Nov 2019

Funding

Funders	Funder number
Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)
BSF-NSF
Agence Nationale de la Recherche
Australian Research Council
Centre National pour la Recherche Scientifique et Technique
Fundação para a Ciência e a Tecnologia
National Research Foundation of Korea
Comisión Nacional de Investigación Científica y Tecnológica
Narodowe Centrum Nauki
CEA-DRF
Japan Society for the Promotion of Science
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Ministry of Science and Technology, Taiwan
Israel Science Foundation
Wallenberg Foundation
Leverhulme Trust
Horizon 2020, and Marie Skłodowska-Curie Actions
Arizona-Nevada Academy of Science
Javna Agencija za Raziskovalno Dejavnost RS
Generalitat de Catalunya
Instituto Nazionale di Fisica Nucleare
Bundesministerium für Wissenschaft, Forschung und Wirtschaft
Austrian Science Fund
Department of Science and Technology, Ministry of Science and Technology, India
MSMT
MSSR
Ministerio de Economía y Competitividad
Bundesministerium für Bildung und Forschung
Canada Foundation for Innovation
Helmholtz-Gemeinschaft
Danmarks Grundforskningsfond
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Czech Republic
Singapore Eye Research Institute
MIZŠ
Deutsche Forschungsgemeinschaft
MESTD
U.S. Department of Energy
European Cooperation in Science and Technology
EU-ESF
RGC
Fundação de Amparo à Pesquisa do Estado de São Paulo
MES of Russia
National Research Center "Kurchatov Institute"
Institutul de Fizică Atomică
Natural Sciences and Engineering Research Council of Canada
General Secretariat for Research and Technology
Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science
German-Israeli Foundation for Scientific Research and Development
Cantons of Bern and Geneva
Chinese Academy of Sciences
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
VSC CR
MNE
Agencia Nacional de Promoción Científica y Tecnológica
Royal Society
European Research Council
European Regional Development Fund
Ministerstwo Nauki i Szkolnictwa Wyższego
IRFU
CERN
Joint Institute for Nuclear Research
National Research Council Canada
Alexander von Humboldt-Stiftung
Council on grants of the President of the Russian Federation
British Columbia Knowledge Development Fund
Ministry of Education, Culture, Sports, Science and Technology
National Natural Science Foundation of China
Not added	ST/L006162/1, ST/N000307/1, ST/N000331/1, 1852475
Horizon 2020 Framework Programme	754510
National Science Foundation	1812377, 2013070, 1806579
DNSRC	IN2P3-CNRS

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10.1140/epjc/s10052-019-7450-8

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@article{2e04a78ca31a4301bd06e79be1c92d99,

title = "ATLAS b-jet identification performance and efficiency measurement with tt¯ events in pp collisions at √s=13 TeV",

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.",

author = "{ATLAS Collaboration} and G. Aad and B. Abbott and Abbott, {D. C.} and Abud, {A. Abed} and K. Abeling and Abhayasinghe, {D. K.} and Abidi, {S. H.} and AbouZeid, {O. S.} and Abraham, {N. L.} and H. Abramowicz and H. Abreu and Y. Abulaiti and Acharya, {B. S.} and B. Achkar and S. Adachi and L. Adam and Bourdarios, {C. Adam} and L. Adamczyk and L. Adamek and J. Adelman and M. Adersberger and A. Adiguzel and S. Adorni and T. Adye and Affolder, {A. A.} and Y. Afik and C. Agapopoulou and Agaras, {M. N.} and A. Aggarwal and C. Agheorghiesei and Aguilar-Saavedra, {J. A.} and F. Ahmadov and Verzini, {M. J.Alconada} and L. Barak and G. Bella and Y. Benhammou and Biswal, {J. P.} and T. Cao and B. Chen and H. Cohen and E. Etzion and G. Koren and O. Kuprash and Lutz, {M. S.} and Dominguez, {L. Pascual} and M. Pitt and D. Reikher and A. Soffer and Tamir, {N. M.} and D. Vannicola",

note = "Publisher Copyright: {\textcopyright} 2019, CERN for the benefit of the ATLAS collaboration.",

year = "2019",

month = nov,

day = "1",

doi = "10.1140/epjc/s10052-019-7450-8",

language = "אנגלית",

volume = "79",

journal = "European Physical Journal C",

issn = "1434-6044",

publisher = "Springer Nature",

number = "11",

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TY - JOUR

T1 - ATLAS b-jet identification performance and efficiency measurement with tt¯ events in pp collisions at √s=13 TeV

AU - ATLAS Collaboration

AU - Aad, G.

AU - Abbott, B.

AU - Abbott, D. C.

AU - Abud, A. Abed

AU - Abeling, K.

AU - Abhayasinghe, D. K.

AU - Abidi, S. H.

AU - AbouZeid, O. S.

AU - Abraham, N. L.

AU - Abramowicz, H.

AU - Abreu, H.

AU - Abulaiti, Y.

AU - Acharya, B. S.

AU - Achkar, B.

AU - Adachi, S.

AU - Adam, L.

AU - Bourdarios, C. Adam

AU - Adamczyk, L.

AU - Adamek, L.

AU - Adelman, J.

AU - Adersberger, M.

AU - Adiguzel, A.

AU - Adorni, S.

AU - Adye, T.

AU - Affolder, A. A.

AU - Afik, Y.

AU - Agapopoulou, C.

AU - Agaras, M. N.

AU - Aggarwal, A.

AU - Agheorghiesei, C.

AU - Aguilar-Saavedra, J. A.

AU - Ahmadov, F.

AU - Verzini, M. J.Alconada

AU - Barak, L.

AU - Bella, G.

AU - Benhammou, Y.

AU - Biswal, J. P.

AU - Cao, T.

AU - Chen, B.

AU - Cohen, H.

AU - Etzion, E.

AU - Koren, G.

AU - Kuprash, O.

AU - Lutz, M. S.

AU - Dominguez, L. Pascual

AU - Pitt, M.

AU - Reikher, D.

AU - Soffer, A.

AU - Tamir, N. M.

AU - Vannicola, D.

PY - 2019/11/1

Y1 - 2019/11/1

N2 - 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.

AB - 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.

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AN - SCOPUS:85075996723

SN - 1434-6044

VL - 79

JO - European Physical Journal C

JF - European Physical Journal C

IS - 11

M1 - 970

ER -

ATLAS b-jet identification performance and efficiency measurement with tt¯ events in pp collisions at √s=13 TeV

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