Jet reconstruction and performance using particle flow with the ATLAS Detector

ATLAS Collaboration

doi:10.1140/epjc/s10052-017-5031-2

Jet reconstruction and performance using particle flow with the ATLAS Detector

ATLAS Collaboration

CERN
Mohamed I University
Aix-Marseille Université and CNRS/IN2P3
University of Oklahoma
University of Texas at Arlington
Azerbaijan National Academy of Sciences
Université Paris-Sud and CNRS/IN2P3
University of Toronto
University of California at Santa Cruz
University of Sussex
Tel Aviv University
Technion-Israel Institute of Technology
University of Oregon
Stockholm University
The Oskar Klein Centre
National Institute for Nuclear Physics
Abdus Salam International Centre for Theoretical Physics
King's College London
The University of Tokyo
AGH University of Krakow
Northern Illinois University
Ludwig Maximilian University of Munich
Didcot
University of Belgrade
Alexandru Ioan Cuza University of Iaşi
Laboratório de Instrumentação e Física Experimental de Partículas
University of Granada
Boston University
Joint Institute for Nuclear Research
University of Rome Tor Vergata
Kyoto University
Lund University
P.N. Lebedev Physical Institute of the Russian Academy of Sciences
University of Bologna
University of Victoria BC
Universidad Nacional de La Plata
Horia Hulubei National Institute of Physics and Nuclear Engineering
National Technical University of Athens
Czech Technical University in Prague
University of Salento
The University of Chicago
Columbia University
University of Birmingham
University of Naples Federico II
University of Copenhagen
Kobe University
University of Washington
University of Glasgow
University of Valencia
Lawrence Berkeley National Laboratory
Universidade Federal do Rio de Janeiro
Brandeis University
University of Michigan, Ann Arbor
University of Coimbra
University of Lisbon
University of Sheffield
University of Geneva
University of Texas at Austin
Heidelberg University
University of Liverpool
University of Milan
National and Kapodistrian University of Athens
University of Amsterdam
Budker Institute of Nuclear Physics of the Siberian Branch of the RAS
Novosibirsk State University
Institute for High Energy Physics
University of Pisa
Moscow Engineering Physics Institute
University of California at Irvine
High Energy Accelerator Research Organization, Tsukuba
Michigan State University
Duke University
Royal Holloway University of London
University of Montreal
University of Iowa
Bogazici University
SLAC National Accelerator Laboratory
Queen Mary University of London
University of Freiburg
University of Cambridge
University of Bonn
Alikhanov Institute for Theoretical and Experimental Physics
University of Oxford
Johannes Gutenberg University Mainz
German Electron Synchrotron
United States Department of Energy
Comenius University
University of Illinois at Urbana-Champaign
University of Siegen
TRIUMF
CEA Saclay (Commissariat a lʼEnergie Atomique)
University of Rome La Sapienza
Simon Fraser University
Yale University
Weizmann Institute of Science
Stony Brook University
University of Pennsylvania
Polish Academy of Sciences
University of Wisconsin-Madison
University of Louisville
University of Wuppertal
University of Melbourne
University of Genoa
Max Planck Institute for Physics (Werner Heisenberg Institute)
Shanghai Jiao Tong University
University of Science and Technology of China
Universidad Autónoma de Madrid
CAS - Institute of High Energy Physics
Lancaster University
Petersburg Nuclear Physics Institute (PNPI)
An-Najah National University
California State University Fresno
Ohio State University
Laboratoire de Physique Nucléaire et de Hautes Energies
Tufts University
University of Bern
University of Fribourg
University of Warwick
New York University
Gaziantep University
University College London
Carleton University
University of Massachusetts
University of Hassan II Casablanca
Uppsala University
CNRS/IN2P3 and Université de Savoie
Université Grenoble Alpes
Charles University
University of Manchester
University of Pittsburgh
Humboldt University of Berlin
University of Göttingen
Technische Universität Dresden
The University of Sydney
Argonne National Laboratory
Pontificia Universidad Católica de Chile
Lomonosov Moscow State University
Institute for High Energy Physics of National Research Centre ‘Kurchatov Institute’
Chinese University of Hong Kong
The University of Hong Kong
Hong Kong University of Science and Technology
Universidad de Buenos Aires
SUNY Albany
Université Clermont Auvergne
Tokyo Metropolitan University
University of Edinburgh
Universidad Técnica Federico Santa Maria
Slovak Academy of Sciences
University of Bergen
University of Oslo
TU Dortmund University
Tsinghua University
University of Calabria
Ankara University
Indiana University Bloomington
Oklahoma State University
Radboud University Nijmegen
Autonomous University of Barcelona
University of Porto
Roma Tre University
Universidade Federal de Juiz de Fora
Bahcesehir University
Harvard University
University of Udine
Tomsk State University
Iowa State University
Nanjing University
Collaborative Innovation Center of Quantum Matter (CICQM)
Mohammed V University in Rabat
University of Arizona
Czech Academy of Sciences
McGill University
Palacký University Olomouc
University of Ljubljana
University of Johannesburg
University of Naples Parthenope
University of British Columbia
Institute of Particle Physics
University of Alberta
Ivane Javakhishvili Tbilisi State University
Universidade Federal de São João del-Rei
Universidade de São Paulo
University of Pavia
Shandong University
Justus Liebig University Giessen
Cadi Ayyad University
Peter the Great St. Petersburg Polytechnic University
City University of New York
Nagasaki Institute of Applied Science
Aristotle University of Thessaloniki
University of New Mexico
Council for Scientific and Industrial Research
West University of Timisoara
Louisiana Tech University
ICREA
University of Innsbruck
Southern Methodist University
University of Tsukuba
A. Alikhanian Yerevan Institute of Physics
University of Cape Town
The University of Osaka
Belarus Academy of Sciences
Shinshu University
Institute of Science Tokyo
University of Würzburg
University of the Witwatersrand
Nagoya University
Academia Sinica - Institute of Physics
Belarusian State University
National Tsing Hua University
Waseda University
University of Trento
University of Texas at Dallas
Adelaide University
Tbilisi State University
Ilia State University
KTH Royal Institute of Technology
Kyushu University
Georgian Technical University
Ochanomizu University
Manhattan College
Istanbul Aydin University
Universidad Antonio Nariño
York University Toronto
California State University Sacramento
Moscow Institute of Physics and Technology
Hiroshima Institute of Technology
Okayama University
University of Minho
Jagiellonian University in Kraków
International School for Advanced Studies
National Institute for Research and Development of Isotopic and Molecular Technologies
CNRS/IN2P3
Sun Yat-Sen University
Bulgarian Academy of Sciences
TOBB University of Economics and Technology
Kyoto University of Education
Stanford University
Wigner Research Centre for Physics
Transilvania University of Brasov
Giresun Universitesi
University of Malaya

科研成果: 期刊稿件 › 文章 › 同行评审

342 引用（Scopus）

摘要

This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb^{- 1} of ATLAS data from 8 TeV proton–proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, instead using measurements of their momenta from the inner tracker. This improves the accuracy of the charged-hadron measurement, while retaining the calorimeter measurements of neutral-particle energies. The paper places emphasis on how this is achieved, while minimising double-counting of charged-hadron signals between the inner tracker and calorimeter. The performance of particle flow jets, formed from the ensemble of signals from the calorimeter and the inner tracker, is compared to that of jets reconstructed from calorimeter energy deposits alone, demonstrating improvements in resolution and pile-up stability.

源语言	英语
文章编号	466
期刊	European Physical Journal C
卷	77
期	7
DOI	https://doi.org/10.1140/epjc/s10052-017-5031-2
出版状态	已出版 - 1 7月 2017
已对外发布	是

访问文件

10.1140/epjc/s10052-017-5031-2

其它文件与链接

链接到 Scopus 的出版物

引用此

@article{3477fcd9062f4f298c435c4d5539fd50,

title = "Jet reconstruction and performance using particle flow with the ATLAS Detector",

abstract = "This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb- 1 of ATLAS data from 8 TeV proton–proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, instead using measurements of their momenta from the inner tracker. This improves the accuracy of the charged-hadron measurement, while retaining the calorimeter measurements of neutral-particle energies. The paper places emphasis on how this is achieved, while minimising double-counting of charged-hadron signals between the inner tracker and calorimeter. The performance of particle flow jets, formed from the ensemble of signals from the calorimeter and the inner tracker, is compared to that of jets reconstructed from calorimeter energy deposits alone, demonstrating improvements in resolution and pile-up stability.",

author = "\{ATLAS Collaboration\} and M. Aaboud and G. Aad and B. Abbott and J. Abdallah and O. Abdinov and B. Abeloos and Abidi, \{S. H.\} and AbouZeid, \{O. S.\} and Abraham, \{N. L.\} and H. Abramowicz and H. Abreu and R. Abreu and Y. Abulaiti and Acharya, \{B. S.\} and S. Adachi and L. Adamczyk and J. Adelman and M. Adersberger and T. Adye and Affolder, \{A. A.\} and T. Agatonovic-Jovin and C. Agheorghiesei and Aguilar-Saavedra, \{J. A.\} and Ahlen, \{S. P.\} and F. Ahmadov and G. Aielli and S. Akatsuka and H. Akerstedt and {\AA}kesson, \{T. P.A.\} and Akimov, \{A. V.\} and Alberghi, \{G. L.\} and J. Albert and Verzini, \{M. J.Alconada\} and M. Aleksa and Aleksandrov, \{I. N.\} and C. Alexa and G. Alexander and T. Alexopoulos and M. Alhroob and B. Ali and M. Aliev and G. Alimonti and J. Alison and Alkire, \{S. P.\} and Allbrooke, \{B. M.M.\} and Allen, \{B. W.\} and Allport, \{P. P.\} and A. Aloisio and A. Alonso and L. Yuan",

note = "Publisher Copyright: {\textcopyright} 2017, CERN for the benefit of the ATLAS collaboration.",

year = "2017",

month = jul,

day = "1",

doi = "10.1140/epjc/s10052-017-5031-2",

language = "英语",

volume = "77",

journal = "European Physical Journal C",

issn = "1434-6044",

publisher = "Springer Nature",

number = "7",

}

TY - JOUR

T1 - Jet reconstruction and performance using particle flow with the ATLAS Detector

AU - ATLAS Collaboration

AU - Aaboud, M.

AU - Aad, G.

AU - Abbott, B.

AU - Abdallah, J.

AU - Abdinov, O.

AU - Abeloos, B.

AU - Abidi, S. H.

AU - AbouZeid, O. S.

AU - Abraham, N. L.

AU - Abramowicz, H.

AU - Abreu, H.

AU - Abreu, R.

AU - Abulaiti, Y.

AU - Acharya, B. S.

AU - Adachi, S.

AU - Adamczyk, L.

AU - Adelman, J.

AU - Adersberger, M.

AU - Adye, T.

AU - Affolder, A. A.

AU - Agatonovic-Jovin, T.

AU - Agheorghiesei, C.

AU - Aguilar-Saavedra, J. A.

AU - Ahlen, S. P.

AU - Ahmadov, F.

AU - Aielli, G.

AU - Akatsuka, S.

AU - Akerstedt, H.

AU - Åkesson, T. P.A.

AU - Akimov, A. V.

AU - Alberghi, G. L.

AU - Albert, J.

AU - Verzini, M. J.Alconada

AU - Aleksa, M.

AU - Aleksandrov, I. N.

AU - Alexa, C.

AU - Alexander, G.

AU - Alexopoulos, T.

AU - Alhroob, M.

AU - Ali, B.

AU - Aliev, M.

AU - Alimonti, G.

AU - Alison, J.

AU - Alkire, S. P.

AU - Allbrooke, B. M.M.

AU - Allen, B. W.

AU - Allport, P. P.

AU - Aloisio, A.

AU - Alonso, A.

AU - Yuan, L.

PY - 2017/7/1

Y1 - 2017/7/1

N2 - This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb- 1 of ATLAS data from 8 TeV proton–proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, instead using measurements of their momenta from the inner tracker. This improves the accuracy of the charged-hadron measurement, while retaining the calorimeter measurements of neutral-particle energies. The paper places emphasis on how this is achieved, while minimising double-counting of charged-hadron signals between the inner tracker and calorimeter. The performance of particle flow jets, formed from the ensemble of signals from the calorimeter and the inner tracker, is compared to that of jets reconstructed from calorimeter energy deposits alone, demonstrating improvements in resolution and pile-up stability.

AB - This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb- 1 of ATLAS data from 8 TeV proton–proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, instead using measurements of their momenta from the inner tracker. This improves the accuracy of the charged-hadron measurement, while retaining the calorimeter measurements of neutral-particle energies. The paper places emphasis on how this is achieved, while minimising double-counting of charged-hadron signals between the inner tracker and calorimeter. The performance of particle flow jets, formed from the ensemble of signals from the calorimeter and the inner tracker, is compared to that of jets reconstructed from calorimeter energy deposits alone, demonstrating improvements in resolution and pile-up stability.

UR - https://www.scopus.com/pages/publications/85024369614

U2 - 10.1140/epjc/s10052-017-5031-2

DO - 10.1140/epjc/s10052-017-5031-2

M3 - 文章

AN - SCOPUS:85024369614

SN - 1434-6044

VL - 77

JO - European Physical Journal C

JF - European Physical Journal C

IS - 7

M1 - 466

ER -

Jet reconstruction and performance using particle flow with the ATLAS Detector

摘要

访问文件

其它文件与链接

学术指纹

引用此