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

Institute of Higher Research

Aix-Marseille Université and CNRS/IN2P3
University of Oklahoma
University of Massachusetts
CERN
Application and Research Center for Advanced Studies
Istanbul Aydin University
iThemba Laboratory for Accelerator Based Sciences
Indian Institute of Technology Tirupati
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
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
IN2P3
AGH University of Krakow
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
IFT-UAM/CSIC
Joint Institute for Nuclear Research
McGill University
German Electron Synchrotron
University of Rome Tor Vergata
Weizmann Institute of Science
Kyoto University
Lund University
Academy of Sciences Rusia
Columbia University
University of Victoria BC
Instituto de Física La Plata
University of Edinburgh
Horia Hulubei National Institute of Physics and Nuclear Engineering
National Technical University of Athens
University of Amsterdam
Czech Technical University in Prague
Academia Sinica - Institute of Physics
Tomsk State University
University of Sussex
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
Budker Institute of Nuclear Physics of the Siberian Branch of the RAS
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
University of Freiburg
University of California at Irvine
Ludwig Maximilian University of Munich
Nagoya University
Ochanomizu University
The University of Tokyo
Harvard University
Uppsala University
Mohamed I University
Comenius University
University of Cape Town
University of Illinois at Urbana-Champaign
Humboldt University of Berlin
Shandong University
University of Wuppertal
Nanjing University
TRIUMF
Aristotle University of Thessaloniki
Carleton University
University of Rome La Sapienza
Simon Fraser University
Yale University
University of Belgrade
University of Texas at Arlington
The University of Sydney
Charles University
Heidelberg University
Institute of Nuclear Physics PAN
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
Roma Tre University
University of Manchester
University of Glasgow
University of Cambridge
University of Siegen
Adelaide University
The California State University
Sorbonne Université
Tufts University
University of Fribourg
University of Warwick
Bahcesehir University
Stony Brook University
Moscow Engineering Physics Institute
University of Hassan II Casablanca
University of Arizona
Technische Universität Dresden
Southern Methodist University
Queen Mary University of London
University of Würzburg
University of Pisa
Gaziantep University
University of Bologna
University of Alberta
University of Wisconsin-Madison
University of Louisville
Université Clermont Auvergne
Ohio State University
Shanghai Jiao Tong University
Michigan State University
Universidad Técnica Federico Santa Maria
Slovak Academy of Sciences
University of Bergen
Boston University
Justus Liebig University Giessen
Ankara University
Indiana University Bloomington
University of Copenhagen
University of Iowa
University of Calabria
University of Johannesburg
ICREA
University of Minho
Istanbul Bilgi University
University of Salento
Joint Laboratory of Optics
Ivane Javakhishvili Tbilisi State University
Moscow Institute of Physics and Technology
Iowa State University
University of Pennsylvania
Tsinghua University
Chinese University of Hong Kong
National Tsing Hua University
Sofia University St. Kliment Ohridski
University of the Witwatersrand
University of Chinese Academy of Sciences
Czech Academy of Sciences
University of Ljubljana
Ben-Gurion University of the Negev
University of Udine
Université Grenoble Alpes
University of Lisbon
University of Naples Parthenope
University of British Columbia
Institute of Particle Physics
New York University
University of Trento
Fondazione Bruno Kessler
TU Dortmund University
Universidad de Buenos Aires
York University Toronto
Institute for High Energy Physics
Universidade Federal de São João del-Rei
Universidade de São Paulo
Ibn Tofail University
Demokritos National Centre for Scientific Research
Peter the Great St. Petersburg Polytechnic University
University of Texas at Dallas
University of Coimbra
City University of New York
University of the Philippines Diliman (Philippines)
California State University Fresno
The University of Chicago
Alikhanov Institute for Theoretical and Experimental Physics
Jagiellonian University in Kraków
University of the Aegean
Lomonosov Moscow State University
Enrico Fermi Center
West University of Timisoara
California State University East Bay
University of New Mexico
The University of Osaka
University of Tsukuba
Belarus Academy of Sciences
Shinshu University
Institute of Science Tokyo
Kobe University
National University of Science and Technology POLITEHNICA Bucharest
Belarusian State University
Azerbaijan National Academy of Sciences
Yeditepe University
Ilia State University
Waseda University
Kyushu University
University of Innsbruck
Universidad Andrés Bello
Universidad de Tarapacá
Hellenic Open University
KTH Royal Institute of Technology
Peking University
Hong Kong University of Science and Technology
California State University Sacramento
Universidad Antonio Nariño
The University of Hong Kong
Transilvania University of Brasov
National Institute for Research and Development of Isotopic and Molecular Technologies
Universidad Nacional de Colombia
Louisiana Tech University
TOBB University of Economics and Technology
University of Hamburg
Kyoto University of Education
Wigner Research Centre for Physics

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

93 Scopus citations

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
State	Published - Dec 2022

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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{\textemdash}the calorimeter shower simulation{\textemdash}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 = "G. Aad and B. Abbott and Abbott, \{D. C.\} and Abud, \{A. Abed\} and S. Kabana and \{ATLAS Collaboration\}",

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year = "2022",

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

language = "English",

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AU - Aad, G.

AU - Abbott, B.

AU - Abbott, D. C.

AU - Abud, A. Abed

AU - Kabana, S.

AU - ATLAS Collaboration

PY - 2022/12

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N2 - 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.

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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AtlFast3: The Next Generation of Fast Simulation in ATLAS

Abstract

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