AtlFast3: The Next Generation of Fast Simulation in ATLAS

ATLAS Collaboration

doi:10.1007/s41781-021-00079-7

AtlFast3: The Next Generation of Fast Simulation in ATLAS

ATLAS Collaboration

Application and Research Center for Advanced Studies
Istanbul Aydin University
iThemba Labs
Department of Physics
University of South Africa
Cadi Ayyad University
Mohammed VI Polytechnic University
New York University Abu Dhabi
United Arab Emirates University
University of Sharjah
Universidad de La Serena
CERN
Aix-Marseille Université
University of Oklahoma
University of Massachusetts
University of Göttingen
Royal Holloway University of London
United States Department of Energy
Mohammed V University in Rabat
Tel Aviv University
Technion-Israel Institute of Technology
Argonne National Laboratory
Pontificia Universidad Católica de Chile
National Institute for Nuclear Physics
Abdus Salam International Centre for Theoretical Physics
King's College London
Johannes Gutenberg University Mainz
Université Savoie Mont Blanc
AGH University of Science and Technology
University of Toronto
Brandeis University
Northern Illinois University
Bogazici University
Istanbul University
University of Geneva
Rutherford Appleton Laboratory
University of California at Santa Cruz
Université Paris-Saclay
Institute for High Energy Physics
University of Pavia
Radboud University Nijmegen
Alexandru Ioan Cuza University of Iaşi
Laboratório de Instrumentação e Física Experimental de Partículas
University of Granada
Universidad Autónoma de Madrid
Joint Institute for Nuclear Research
McGill University
German Electron Synchrotron
University of Rome Tor Vergata
Weizmann Institute of Science
Kyoto University
Lund University
RAS - P.N. Lebedev Physics Institute
Columbia University
University of Victoria BC
Consejo Nacional de Investigaciones Científicas y Técnicas
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Horia Hulubei National Institute of Physics and Nuclear Engineering
National Technical University of Athens
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Czech Technical University in Prague
Academia Sinica - Institute of Physics
Tomsk State University
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University of Birmingham
University of Naples Federico II
University of Washington
Universidad Autónoma de Madrid
Universidade Federal do Rio de Janeiro
University of Oxford
University of Michigan, Ann Arbor
University of Valencia
University of Oslo
University of Sheffield
University of Texas at Austin
University of Bern
Stockholm University
Oskar Klein Centre
University of Milan
National and Kapodistrian University of Athens
RAS - Budker Institute of Nuclear Physics
Novosibirsk State University
Oklahoma State University
Lawrence Berkeley National Laboratory
High Energy Accelerator Research Organization, Tsukuba
Universidade Federal de Juiz de Fora
Duke University
University of Liverpool
University of Montreal
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Ludwig Maximilian University of Munich
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Charles University
Heidelberg University
Cracow
University of Pittsburgh
University of Bonn
University of Melbourne
University of Genoa
University College London
Max Planck Institute for Physics (Werner Heisenberg Institute)
University of Oregon
SLAC National Accelerator Laboratory
University of Science and Technology of China
CAS - Institute of High Energy Physics
Russian Research Centre Kurchatov Institute
Lancaster University
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Ben-Gurion University of the Negev
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Université Grenoble Alpes
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University of Naples Parthenope
University of British Columbia
Institute of Particle Physics
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Fondazione Bruno Kessler
TU Dortmund University
Universidad de Buenos Aires
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Institute for High Energy Physics
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Lomonosov Moscow State University
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West University of Timisoara
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Belarus Academy of Sciences
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University Politehnica of Bucharest
Belarusian State University
Azerbaijan National Academy of Sciences
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Universidad de Tarapacá
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Universidad Antonio Nariño
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National Institute for Research and Development of Isotopic and Molecular Technologies
Universidad Nacional de Colombia
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University of Hamburg
Kyoto University of Education
Wigner Research Centre for Physics

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

79 Citations (Scopus)

Abstract

The ATLAS experiment at the Large Hadron Collider has a broad physics programme ranging from precision measurements to direct searches for new particles and new interactions, requiring ever larger and ever more accurate datasets of simulated Monte Carlo events. Detector simulation with Geant4 is accurate but requires significant CPU resources. Over the past decade, ATLAS has developed and utilized tools that replace the most CPU-intensive component of the simulation—the calorimeter shower simulation—with faster simulation methods. Here, AtlFast3, the next generation of high-accuracy fast simulation in ATLAS, is introduced. AtlFast3 combines parameterized approaches with machine-learning techniques and is deployed to meet current and future computing challenges, and simulation needs of the ATLAS experiment. With highly accurate performance and significantly improved modelling of substructure within jets, AtlFast3 can simulate large numbers of events for a wide range of physics processes.

Original language	English
Article number	7
Journal	Computing and Software for Big Science
Volume	6
Issue number	1
DOIs	https://doi.org/10.1007/s41781-021-00079-7
Publication status	Published - Dec 2022

ASJC Scopus subject areas

Software
Computer Science (miscellaneous)
Nuclear and High Energy Physics

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10.1007/s41781-021-00079-7

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title = "AtlFast3: The Next Generation of Fast Simulation in ATLAS",

abstract = "The ATLAS experiment at the Large Hadron Collider has a broad physics programme ranging from precision measurements to direct searches for new particles and new interactions, requiring ever larger and ever more accurate datasets of simulated Monte Carlo events. Detector simulation with Geant4 is accurate but requires significant CPU resources. Over the past decade, ATLAS has developed and utilized tools that replace the most CPU-intensive component of the simulation—the calorimeter shower simulation—with faster simulation methods. Here, AtlFast3, the next generation of high-accuracy fast simulation in ATLAS, is introduced. AtlFast3 combines parameterized approaches with machine-learning techniques and is deployed to meet current and future computing challenges, and simulation needs of the ATLAS experiment. With highly accurate performance and significantly improved modelling of substructure within jets, AtlFast3 can simulate large numbers of events for a wide range of physics processes.",

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 A. Aboulhorma and H. Abramowicz and H. Abreu and Y. Abulaiti and Hoffman, \{A. C.Abusleme\} and Acharya, \{B. S.\} and B. Achkar and L. Adam and Bourdarios, \{C. Adam\} and L. Adamczyk and L. Adamek and Addepalli, \{S. V.\} and J. Adelman and A. Adiguzel and S. Adorni and T. Adye and Affolder, \{A. A.\} and Y. Afik and C. Agapopoulou and Agaras, \{M. N.\} and J. Agarwala and A. Aggarwal and C. Agheorghiesei and Aguilar-Saavedra, \{J. A.\} and A. Ahmad and F. Ahmadov and Ahmed, \{W. S.\} and X. Ai and G. Aielli and I. Aizenberg and S. Akatsuka and M. Akbiyik and {\AA}kesson, \{T. P.A.\} and Akimov, \{A. V.\} and Khoury, \{K. Al\} and Alberghi, \{G. L.\} and J. Albert and P. Albicocco and Verzini, \{M. J.Alconada\} and S. Alderweireldt and Connell, \{S. H.\} and N. Govender and L. Truong",

note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.",

year = "2022",

month = dec,

doi = "10.1007/s41781-021-00079-7",

language = "English",

volume = "6",

journal = "Computing and Software for Big Science",

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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 - Aboulhorma, A.

AU - Abramowicz, H.

AU - Abreu, H.

AU - Abulaiti, Y.

AU - Hoffman, A. C.Abusleme

AU - Acharya, B. S.

AU - Achkar, B.

AU - Adam, L.

AU - Bourdarios, C. Adam

AU - Adamczyk, L.

AU - Adamek, L.

AU - Addepalli, S. V.

AU - Adelman, J.

AU - Adiguzel, A.

AU - Adorni, S.

AU - Adye, T.

AU - Affolder, A. A.

AU - Afik, Y.

AU - Agapopoulou, C.

AU - Agaras, M. N.

AU - Agarwala, J.

AU - Aggarwal, A.

AU - Agheorghiesei, C.

AU - Aguilar-Saavedra, J. A.

AU - Ahmad, A.

AU - Ahmadov, F.

AU - Ahmed, W. S.

AU - Ai, X.

AU - Aielli, G.

AU - Aizenberg, I.

AU - Akatsuka, S.

AU - Akbiyik, M.

AU - Åkesson, T. P.A.

AU - Akimov, A. V.

AU - Khoury, K. Al

AU - Alberghi, G. L.

AU - Albert, J.

AU - Albicocco, P.

AU - Verzini, M. J.Alconada

AU - Alderweireldt, S.

AU - Connell, S. H.

AU - Govender, N.

AU - Truong, L.

PY - 2022/12

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AB - The ATLAS experiment at the Large Hadron Collider has a broad physics programme ranging from precision measurements to direct searches for new particles and new interactions, requiring ever larger and ever more accurate datasets of simulated Monte Carlo events. Detector simulation with Geant4 is accurate but requires significant CPU resources. Over the past decade, ATLAS has developed and utilized tools that replace the most CPU-intensive component of the simulation—the calorimeter shower simulation—with faster simulation methods. Here, AtlFast3, the next generation of high-accuracy fast simulation in ATLAS, is introduced. AtlFast3 combines parameterized approaches with machine-learning techniques and is deployed to meet current and future computing challenges, and simulation needs of the ATLAS experiment. With highly accurate performance and significantly improved modelling of substructure within jets, AtlFast3 can simulate large numbers of events for a wide range of physics processes.

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VL - 6

JO - Computing and Software for Big Science

JF - Computing and Software for Big Science

IS - 1

M1 - 7

ER -

AtlFast3: The Next Generation of Fast Simulation in ATLAS

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