Göttingen 2025 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 96: Detectors IX (Calorimeters)

T 96.4: Vortrag

Freitag, 4. April 2025, 09:45–10:00, VG 2.101

Fast Hadron Shower Simulation using a Distance Based Sor- ting for Calorimeter Tiles with the CALICE AHCAL Prototype — •Zobeyer Ghafoor, André Wilhahn, and Stan Lai — II. Physikalisches Institut, Georg-August Universität Göttingen

The simulation of particle showers in calorimeters plays a critical role in high-energy physics research. As calorimeter precision and resolution improve, the complexity and volume of data increase substantially. This growth presents significant challenges for computational resources, data storage, and analysis, underscoring the need for innovative simulation algorithms. This talk outlines a data-driven fast simulation approach. By optimising computational efficiency, this method aims to significantly reduce the total number of hits for the simulation, thereby optimising computational efficiency. However, the reduction must preserve critical calorimeter and shower information. This study uses data from a 2018 test beam with pion beams and the CALICE AHCAL. The calorimeter features 38 active layers, each comprising 24×24 tiles that are read out individually. For the fast simulation, a distance-sorting algorithm was employed, which orders the tiles in each layer based on their distance from the event’s centre-of-gravity, sorted from smallest to largest. This helps avoid complications due to necessary geometrical transformations when simulating energies based upon radial distances from the shower centre. To enhance efficiency, limitations were imposed on both the number of tiles and layers, effectively reducing the total number of readout channels while maintaining essential information for accurate event reconstruction.

Keywords: CALICE; AHCAL; Calorimeters; Fast Simulation; Particle Physics