Highly-parallelized simulation of a pixelated LArTPC on a GPU
DUNE Collaboration. (2023). Highly-parallelized simulation of a pixelated LArTPC on a GPU. Journal of Instrumentation, 18(4), Article P04034. https://doi.org/10.1088/1748-0221/18/04/P04034
Julkaistu sarjassa
Journal of InstrumentationTekijät
Päivämäärä
2023Tekijänoikeudet
© 2023 CERN. Published by IOP Publishing Ltd on behalf of Sissa
Medialab
The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on 10^3 pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype.
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Julkaisija
IOP PublishingISSN Hae Julkaisufoorumista
1748-0221Asiasanat
detector modelling and simulations II electric fields charge transport multiplication and induction pulse formation electron emission simulation methods and programs noble liquid detectors scintillation ionization double-phase time projection chambers TPC simulointi hiukkasfysiikka algoritmit tutkimuslaitteet prosessointi Monte Carlo -menetelmät ilmaisimet
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/183528346
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Lisätietoja rahoituksesta
This document was prepared by the DUNE collaboration using the resources of the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE-AC02-07CH11359. This work was supported by CNPq, FAPERJ, FAPEG and FAPESP, Brazil; CFI, IPP and NSERC, Canada; CERN; MŠMT, Czech Republic; ERDF, H2020-EU and MSCA, European Union; CNRS/IN2P3 and CEA, France; INFN, Italy; FCT, Portugal; NRF, South Korea; CAM, Fundación “La Caixa”, Junta de Andalucía-FEDER, MICINN, and Xunta de Galicia, Spain; SERI and SNSF, Switzerland; TÜBİTAK, Turkey; The Royal Society and UKRI/STFC, United Kingdom; DOE and NSF, United States of America. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231 ...Lisenssi
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