AtlFast3: the next generation of fast simulation in ATLAS

Anders, J. K.; Beck, H. P.; Chatterjee, M.; Ereditato, A.; Franconi, L.; Halser, L.; Haug, S.; Ilg, A.; Lehmann, N.; Mueller, R.; Weber, M. S. (2022). AtlFast3: the next generation of fast simulation in ATLAS. Computing and software for big science, 6(1) Springer 10.1007/s41781-021-00079-7

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Physics Institute > Laboratory for High Energy Physics (LHEP)
10 Strategic Research Centers > Albert Einstein Center for Fundamental Physics (AEC)

UniBE Contributor:

Anders, John Kenneth, Beck, Hans Peter, Chatterjee, Meghranjana, Ereditato, Antonio, Franconi, Laura, Halser, Lea, Haug, Sigve, Ilg, Armin, Lehmann, Niklaus, Müller, Roman, Weber, Michele

Subjects:

500 Science > 530 Physics

ISSN:

2510-2044

Publisher:

Springer

Language:

English

Submitter:

BORIS Import LHEP

Date Deposited:

04 Apr 2023 14:42

Last Modified:

13 Apr 2023 14:48

Publisher DOI:

10.1007/s41781-021-00079-7

Additional Information:

Kollaboration - Es sind nur die Berner Autor*innen namentlich erwaehnt; ATLAS collaboration

BORIS DOI:

10.48350/181456

URI:

https://boris.unibe.ch/id/eprint/181456

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