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Aug 7 – 8, 2025
University of Chicago
America/Chicago timezone

Celeritas: Bringing GPU capabilities to HEP detector simulation

Not scheduled
20m
University of Chicago

University of Chicago

Michelson Center for Physics Kersten Physics Teaching Center
Poster

Speaker

Stefano Tognini (Oak Ridge National Laboratory)

Description

The collider and detector proposed by the International Muon Collider Collaboration (IMCC) will reach a 10 TeV physics frontier as a means to fully understand the Higgs and explore new physics beyond LHC production capabilities. A muon collider has significant advantages, but comes with many challenges. One of such is the detector simulation, and in particular the beam-induced background (BIB) from muons decaying throughout the beamline. These decay into TeV-scale electrons, producing electromagnetic (EM) showers that are time prohibitive to simulate. An alternative to alleviate such needs is to maximize the use of heterogeneous architectures, since computer clusters increasingly rely on GPUs for power-efficient performance. Celeritas, a GPU-optimal detector simulation code, has been steadily developing its capabilities to simulate EM physics for electrons, positrons, photons, and muons on GPU, and is currently implementing optical physics as well. With significant performance gains on EM and optical simulations, along with its Geant4 interface that allows sending subset of particles to GPU, Celeritas can be an important tool for the IMCC R&D effort. This presentation will provide an overview of Celeritas, its existing physics capabilities, and its potential benefits in the context of the IMCC.

Primary author

Stefano Tognini (Oak Ridge National Laboratory)

Co-authors

Amanda Lund (Argonne National Laboratory) Benjamin Morgan (University of Warwick) Elliott Biondo (Oak Ridge National Laboratory) Guilherme Lima (Fermi National Accelerator Laboratory) Hayden Hollenbeck (University of Virginia) Julien Esseiva (Lawrence Berkeley National Laboratory) Philippe Canal (Fermi National Accelerator Laboratory) Sakib Rahman (Brookhaven National Laboratory) Seth R. Johnson (Oak Ridge National Laboratory) Soon Yung Jun (Fermi National Accelerator Laboratory)

Presentation materials