The LHCb Detector and Testing and Performance Evaluation of AdePT in Gaussino
Abstract
To meet the increasing computational demands of LHC experiments, this study explores the potential of GPU acceleration for electromagnetic simulations. The AdePT proto-
type is integrated into the Gaussino framework and compared to the standard GEANT4. Initial results show that AdePT, while requiring optimization, demonstrates promising performance gains, especially with larger workloads. The successful simulation of elec-
trons using AdePT highlights its potential for accelerating LHCb simulations and contributing to future physics analysis. Furthermore, a brief review of the LHCb detector is provided, encompassing its key subdetectors: the Vertex Locator (VELO), the tracking system (including the Trigger Tracker, Inner Tracker, and Outer Tracker), the Ring Imaging Cherenkov (RICH) detectors, the electromagnetic and hadronic calorimeters (ECAL and HCAL), and the muon system.
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