CERN Accelerating science

ATLAS Note
Report number ATL-SOFT-PROC-2021-017
Title The Fast Simulation Chain in the ATLAS experiment
Author(s)

Javurkova, Martina (Massachusetts U., Amherst) ; Chapman, John Derek (University of Cambridge (GB)) ; Cuhadar Donszelmann, Tulay (University of California Irvine (US)) ; Duehrssen-Debling, Michael (CERN) ; Fabbri, Federica (University of Glasgow (GB)) ; Golling, Tobias (Universite de Geneve (CH)) ; Han, Yi Fei (University of Toronto (CA)) ; Javurkova, Martina (University of Massachusetts (US)) ; Klimpel, Fabian (Technische Universitat Munchen (DE)) ; Pascuzzi, Vincent (Lawrence Berkeley National Lab. (US)) ; Usai, Giulio (University of Texas at Arlington (US))

Publication 2021
Imprint 25 Jun 2021
Number of pages 10
In: EPJ Web Conf. 251 (2021) 03012
In: 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.03012
DOI 10.1051/epjconf/202125103012
Subject category Particle Physics - Experiment ; Computing and Computers
Accelerator/Facility, Experiment CERN LHC ; ATLAS
Free keywords Fast simulation, Mote Carlo production chain
Abstract The ATLAS experiment relies heavily on simulated data, requiring the production on the order of billions of Monte Carlo-based proton-proton collisions every run period. As such, the simulation of collisions (events) is the single biggest CPU resource consumer. ATLAS's finite computing resources are at odds with the expected conditions during the High Luminosity LHC era, where the increase in proton-proton centre-of-mass energy and instantaneous luminosity will result in higher particle multiplicities and roughly fivefold additional interactions per bunch-crossing with respect to LHC Run-2. Therefore, significant effort within the collaboration is being focused on increasing the rate at which MC events can be produced by designing and developing fast alternatives to the algorithms used in the standard Monte Carlo production chain.
Related document Slides ATL-SOFT-SLIDE-2021-123
Copyright/License publication: © 2021-2024 The Author(s) (License: CC-BY-4.0)

Corresponding record in: Inspire


 Record created 2021-06-25, last modified 2022-08-22