Göttingen 2025 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 103: Methods in Particle Physics V (Event Reconstruction, PID)

T 103.4: Vortrag

Freitag, 4. April 2025, 09:45–10:00, VG 4.101

The Heterogeneous HGCAL event reconstruction — •Wahid Redjeb^1,2, Alexander Schmidt², Felice Pantaleo¹, and Marco Rovere¹ — ¹CERN — ²III. Physikalisches Institut A, RWTH Aachen

The High-Granularity Calorimeter (HGCAL) is a sampling calorimeter with both lateral and longitudinal fine granularity designed for the High-Luminosity LHC. The calorimeter will use silicon sensors in the high radiation regions, providing high pile-up mitigation, and scintillators in the low radiation regions. For the physics object reconstruction, a dedicated framework for HGCAL is currently under development: The Iterative Clustering (TICL), which utilizes the 5D (x,y,z,t,E) information from the reconstructed hits and returns particle properties and probabilities. Heterogeneous computing will play a fundamental role in the physics object reconstruction software to fully exploit the reach of the HL-LHC. We present an overview of the TICL framework, highlight the TICL Framework's capabilities to perform Particle Flow reconstruction in the challenging endcap region with dedicated algorithms for electromagnetic and hadronic objects. Additionally, we will describe how Performance Portability has been achieved through the Alpaka library, being able to run core parts of the Framework on GPU and on CPU with a single source code.

Keywords: HGCAL; Calorimeter; CMS; Heterogeneous Computing; Alpaka