| ATLAS Slides | |
| Report number | ATL-SOFT-SLIDE-2022-552 |
| Title | Optimizing the ATLAS Geant4 detector simulation software |
| Author(s) |
Kourlitis, Evangelos (Argonne National Laboratory (US)) ; Bandieramonte, Marilena (University of Pittsburgh (US)) ; Lari, Tommaso (Università degli Studi e INFN Milano (IT)) ; Chapman, John Derek (University of Cambridge (GB)) ; Duehrssen-Debling, Michael (CERN) ; Sukharev, Andrei (Budker Institute of Nuclear Physics (RU)) ; Morgan, Benjamin (University of Warwick (GB)) ; Marcon, Caterina (Università degli Studi e INFN Milano (IT)) ; Apostolakis, John (CERN) ; Novak, Mihaly (CERN) ; Muskinja, Miha (Lawrence Berkeley National Lab. (US)) ; Hopkins, Walter (Argonne National Laboratory (US)) ; Schmidt, Mustafa Andre (Bergische Universitaet Wuppertal (DE)) ; Vishwakarma, Akanksha (The University of Edinburgh (GB)) ; Tcherniaev, Evgueni (University of Pittsburgh (US)) ; Amadio, Guilherme (CERN) ; Kim, Dongwon (Stockholm University (SE)) ; Wynne, Benjamin Michael (The University of Edinburgh (GB)) |
| Corporate author(s) | The ATLAS collaboration |
| Submitted by | [email protected] on 22 Oct 2022 |
| Subject category | Particle Physics - Experiment |
| Accelerator/Facility, Experiment | CERN LHC ; ATLAS |
| Free keywords | simulation ; geant4 |
| Abstract | The ATLAS experiment at the LHC relies critically on simulated event samples produced by the full Geant4 detector simulation software (FullSim). FullSim was the major CPU consumer during the last data-taking year in 2018 and it is expected to be still significant in the HL-LHC era. In September 2020 ATLAS formed a Geant4 Optimization Task Force to optimize the computational performance of FullSim for the Run 3 Monte Carlo campaign. This contribution summarizes the already implemented and upcoming improvements. These include improved features from the core Geant4 software, optimal options in the simulation configuration, simplifications in geometry and magnetic field description and technical improvements in the way ATLAS simulation code interfaces with Geant4. Overall, more than 50% higher throughput is achieved, compared to the baseline simulation configuration used during Run 2. |
Record created 2022-10-22, last modified 2022-10-22
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