AtlFast3: The Next Generation of Fast Simulation in ATLAS

ATLAS Collaboration

Research output: Contribution to journalArticlepeer-review

33 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 languageEnglish
Article number7
JournalComputing and Software for Big Science
Volume6
Issue number1
DOIs
StatePublished - Dec 2022

Funding

FundersFunder number
ANID
BSF-NSF
CEA-DRF
Cantons of Bern and Geneva
Czech Republic
DNSRCIN2P3-CNRS
EU-ESF
GIF, Israel
GenT Programmes Generalitat Valenciana, Spain
IRFU
La Caixa Banking Foundation
MES of Russia
MESTD
MIZŠ
MSMT
MSSR
Norwegian Financial Mechanism 2014-2021
PROMETEO
RGC
VSC CR
Wallenberg Foundation
National Science Foundation
U.S. Department of Energy
Alexander von Humboldt-Stiftung
Canarie
H2020 Marie Skłodowska-Curie Actions
Arizona-Nevada Academy of Science
CERN
Compute Canada
Göran Gustafssons Stiftelser
Natural Sciences and Engineering Research Council of Canada
National Research Council Canada
Canada Foundation for Innovation
Leverhulme Trust
Royal Society
European Research Council
European Cooperation in Science and Technology
Australian Research Council
Neurosurgical Research Foundation
Singapore Eye Research Institute
Helmholtz-Gemeinschaft
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
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
Agencia Nacional de Promoción Científica y Tecnológica
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Bundesministerium für Wissenschaft, Forschung und Wirtschaft
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 Edukacji i Nauki
Ministry of Science and Technology, Taiwan
Ministerio de Ciencia e Innovación
Centre National pour la Recherche Scientifique et Technique
Horizon 2020
British Columbia Knowledge Development Fund
European Regional Development Fund
Defence Science Institute
Council on grants of the President of the Russian Federation
National Research Center "Kurchatov Institute"

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