Title
Measurements of b-jet tagging efficiency with the ATLAS detector using tt¯ events at √s=13 TeV
Date Issued
01 August 2018
Access level
open access
Resource Type
journal article
Author(s)
Aaboud M.
Aad G.
Abbott B.
Abdinov O.
Abeloos B.
Abhayasinghe D.K.
Abidi S.H.
AbouZeid O.S.
Abraham N.L.
Abramowicz H.
Abreu H.
Abulaiti Y.
Acharya B.S.
Adachi S.
Adamczyk L.
Adelman J.
Adersberger M.
Adiguzel A.
Adye T.
Affolder A.A.
Afik Y.
Agheorghiesei C.
Aguilar-Saavedra J.A.
Ahmadov F.
Aielli G.
Akatsuka S.
Åkesson T.P.A.
Akilli E.
Akimov A.V.
Alberghi G.L.
Albert J.
Albicocco P.
Alconada Verzini M.J.
Alderweireldt S.
Aleksa M.
Aleksandrov I.N.
Alexa C.
Alexander G.
Alexopoulos T.
Alhroob M.
Ali B.
Alimonti G.
Alison J.
Alkire S.P.
Allaire C.
Allbrooke B.M.M.
Allen B.W.
Allport P.P.
Aloisio A.
Alonso A.
Alonso F.
Alpigiani C.
Alshehri A.A.
Alstaty M.I.
Alvarez Gonzalez B.
Álvarez Piqueras D.
Alviggi M.G.
Amadio B.T.
Amaral Coutinho Y.
Ambroz L.
Amelung C.
Amidei D.
Amor Dos Santos S.P.
Amoroso S.
Amrouche C.S.
Anastopoulos C.
Ancu L.S.
Andari N.
Andeen T.
Anders C.F.
Anders J.K.
Anderson K.J.
Andreazza A.
Andrei V.
Anelli C.R.
Angelidakis S.
Angelozzi I.
Angerami A.
Anisenkov A.V.
Annovi A.
Antel C.
Anthony M.T.
Antonelli M.
Antrim D.J.A.
Anulli F.
Aoki M.
Aperio Bella L.
Arabidze G.
Arai Y.
Araque J.P.
Araujo Ferraz V.
Araujo Pereira R.
Arce A.T.H.
Ardell R.E.
Arduh F.A.
Arguin J.F.
Argyropoulos S.
Armbruster A.J.
Armitage L.J.
Armstrong A.
Publisher(s)
Springer Verlag
Abstract
The efficiency to identify jets containing b-hadrons (b-jets) is measured using a high purity sample of dileptonic top quark-antiquark pairs (tt¯) 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=13 TeV. Two methods are used to extract the efficiency from tt¯ 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 flavour 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.
Volume
2018
Issue
8
Language
English
OCDE Knowledge area
Física de partículas, Campos de la Física
Publication version
Version of Record
Scopus EID
2-s2.0-85051719783
Source
Journal of High Energy Physics
ISSN of the container
11266708
Sponsor(s)
Open Access, Copyright CERN, for the benefit of the ATLAS Collaboration. Article funded by SCOAP3. ST/H001158/2, ST/J004804/1, ST/J005533/1, ST/K001310/1, ST/K001329/1, ST/L003449/1, ST/L006162/1, ST/M000753/1, ST/N000307/1, ST/N000420/1 CEA-DRF, Cantons of Bern and Geneva, Czech Republic, DNSRC, IN2P3-CNRS, EU-ESF, IRFU, In-vestissements d’Avenir Labex, MES of Russia, MESTD, MNE, MSMT, MSSR, Marie Sklo dowska-Curie Actions, RGC, Région Auvergne, VSC CR, Wallenberg Foundation, National Science Foundation, U.S. Department of Energy, Alexander von Humboldt-Stiftung, CRC Health Group, Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS), Ontario Innovation Trust, Canarie, Horizon 2020 Framework Programme, Biomedical Research Foundation, Arizona-Nevada Academy of Science, Compute Canada, Glycemic Index Foundation, Natural Sciences and Engineering Research Council of Canada, Canada Council for the Arts, Canada Foundation for Innovation, Science and Technology Facilities Council, Leverhulme Trust, Royal Society, European Commission, European Research Council, Australian Research Council, Neurosurgical Research Foundation, Singapore Eye Research Institute, Helmholtz-Gemeinschaft, Minerva Foundation, Deutsche Forschungsgemeinschaft, Agence Nationale de la Recherche, Japan Society for the Promotion of Science, Ministry of Education, Culture, Sports, Science and Technology, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Danmarks Grundforskningsfond, United States-Israel Binational Science Foundation, Fundação de Amparo à Pesquisa do Estado de São Paulo, National Natural Science Foundation of China, Fundação para a Ciência e a Tecnologia, Bundesministerium für Bildung und Forschung, Chinese Academy of Sciences, Austrian Science Fund, Generalitat de Catalunya, Comisión Nacional de Investigación Científica y Tecnológica, Agencia Nacional de Promoción Científica y Tecnológica, Fonds Québécois de la Recherche sur la Nature et les Technologies, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Ministerio de Economía y Competitividad, Generalitat Valenciana, Bundesministerium für Wissenschaft, Forschung und Wirtschaft, General Secretariat for Research and Technology, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Joint Institute for Nuclear Research, Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science, Israel Science Foundation, Instituto Nazionale di Fisica Nucleare, Narodowe Centrum Nauki, Javna Agencija za Raziskovalno Dejavnost RS, Ministerstwo Nauki i Szkolnictwa Wyższego, Ministry of Science and Technology of Taiwan, Israeli Centers for Research Excellence, Centre National pour la Recherche Scientifique et Technique, Horizon 2020, British Columbia Knowledge Development Fund, European Regional Development Fund, Council on grants of the President of the Russian Federation, Fondation Partager le Savoir, National Research Center "Kurchatov Institute", Institutul de Fizică Atomică
Sources of information: Directorio de Producción Científica Scopus