Benjamin J. Morgan, John Apostolakis, Marilena Bandieramonte, J. D. Chapman, Michael Duehrssen-Debling, Julien Esseiva, W. H. Hopkins, D. W. Kim, J. Schaarschmidt, C. Marcon, Nitika Nitika, Mihály Novák, M. A. Schmidt, E. Tcherniaev, Rui Zhang

doi:10.1051/epjconf/202533701351

Summary

For Run 3 at the Large Hadron Collider the Monte Carlo Detector Simulation performed with Geant4 (Full Simulation) within the ATLAS experiment has undergone significant improvements to enhance its computational performance and overall efficiency. Here we provide an overview of the physics and technical optimizations implemented in the ATLAS Full Simulation for Run 3. Notable physics developments include use of Geant4’s range cuts and G4GammaGeneralProcess for gammas, and variance reduction techniques such as neutron/photon Russian Roulette, and Woodcock Tracking in the Electromagnetic Endcap Calorimeter (EMEC). Technical developments include optimizations of the geometric representation of the particularly complex EMEC detector to assist navigation, tailored switch-off of the magnetic fiel

Subject: Other / interdisciplinary
Source type: Peer-reviewed study
System type: Other
DOI: 10.1051/epjconf/202533701351
Catalogue ID: BFmokjnw0q-oeoepe

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.

What does the evidence say about Other / interdisciplinary?→How does this finding apply in a UK context?→What are the most cited records on this topic?→

Optimizing the throughput of the ATLAS Geant4 detector simulation

Summary

Dig deeper with Pulse AI.

Related evidence