Karlsruhe 2024 – scientific programme

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T: Fachverband Teilchenphysik

T 55: Methods in particle physics 4 (HCAL, jets)

T 55.1: Talk

Wednesday, March 6, 2024, 16:00–16:15, Geb. 20.30: 2.066

Event reconstruction in the CMS High-Granularity Calorimeter — •Wahid Redjeb^1,2, Felice Pantaleo², Alexander Schmidt¹, and Marco Rovere² — ¹III. Physikalisches In- stitut A, RWTH Aachen University, Aachen, Germany — ²CERN Geneva, Switzerland

The High-Granularity Calorimeter (HGCAL) will be 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. Performance Portability libraries allow writing a single code basis that can be executed on different hardware architectures. In this talk we present and overview of the TICL framework and we show how heterogeneous computing has been integrated in the framework exploiting the Alpaka library. Additionally, we highlight the TICL Framework's capabilities to perform Particle Flow reconstruction in the challenging endcap region.

Keywords: HGCAL; TICL; Software Reconstruction; CMS; Heterogeneous Computing