Abstract
| In preparation for Run 3 at the Large Hadron Collider (LHC), the Monte Carlo Detector Simulation performed with Geant4 (Full Simulation) within the ATLAS experiment has undergone signif- icant improvements to enhance its computational performance and overall efficiency. This talk offers a comprehensive overview of the optimizations implemented in the ATLAS Full Simulation for Run 3. Notable developments include the application of EM range cuts, the implementation of Neutron and Photon Russian roulette and the recent development of the Woodcock tracking in the Electromagnetic Endcap Calorimeter (EMEC), a critical sub detector that for its peculiar structure represents a significant consumer of CPU resources in the ATLAS simulation. Beyond optimizations targeting specific detector components, the improvements include the tuning of simulation parameters (including the magnetic field), smarter and more efficient geometry de- scriptions, the implementation of new Geant4 core features and improvements that target the way Geant4 is linked and used within the ATLAS simulation framework. These enhancements collectively resulted in a remarkable achievement, with a speedup in CPU time of a factor of 2 compared to the baseline simulation configuration used in Run 2. In addition to showcasing the Run 3 ATLAS simulation, this contribution provides an overview of forthcoming optimizations, emphasizing both immediate and longer-term enhancements. |