CERN Accelerating science

ATLAS Note
Report number	ATL-SOFT-PROC-2025-011
Title	Towards an experiment-independent toolkit for fast calorimeter simulation
Author(s)	Beirer, Joshua Falco (CERN)
Corporate Author(s)	The ATLAS collaboration
Collaboration	ATLAS Collaboration
Publication	2025
Imprint	16 Jan 2025
Number of pages	8
In:	27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
Subject category	Particle Physics - Experiment
Accelerator/Facility, Experiment	CERN LHC ; ATLAS
Abstract	The production of a sufficiently large number of simulated Monte Carlo (MC) events is anticipated to be one of the most significant bottlenecks for many future high-energy physics (HEP) experiments. The simulation of the calorimeter response, in particular, represents a major computational challenge. While substantial efforts have been made by the HEP community to develop ML-based fast simulation models, integrating these into realistic experimental setups remains a significant hurdle. This paper outlines first efforts that have started to develop a fully experiment- independent library for fast calorimeter simulation, aiming at providing a uni- versal interface for the lateral and longitudinal parameterisation of calorimeter showers, as well as for ML-based approaches to shower generation.