Bonn 2020 – scientific programme
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T: Fachverband Teilchenphysik
T 80: Calorimeters
T 80.5: Talk
Thursday, April 2, 2020, 17:35–17:50, H-1.003
The new fast calorimeter simulation of the ATLAS detector — •Joshua Beirer1,2, Michael Duehrssen1, and Stan Lai2 — 1CERN — 2Georg-August-Universität Göttingen
The simulation of physics processes is one of the most essential tools for all types of measurements and searches at hadron colliders. However, the production of simulated events is a highly CPU intensive task and the limited amount of Monte Carlo (MC) events is already one of the largest sources of systematic uncertainties in many ATLAS physics analyses. The main bottleneck of the simulation is the detailed detector simulation with Geant4, for which most of the simulation time is needed to simulate the calorimeter response. In order to increase the amount of produced MC events, ATLAS has successfully employed a fast calorimeter simulation (FastCaloSim) during Run 1 and 2 of the LHC. FastCaloSim parametrizes the energy response of particles in the calorimeter cells, taking into account the lateral shower profile and the correlation between the energy depositions in the various layers of the calorimeter. In recent years, an improved version of FastCaloSim has been developed, which uses machine learning techniques such as principal component analysis and neural networks, and has been shown to considerably improve the simulation while reducing the required CPU time per simulated event.
In this talk, an overview of the new fast simulation of the ATLAS calorimeter will be given and future possible improvements will be outlined.