@Article{DUNECollaborationAbud_etal2023,
author="DUNE Collaboration (Abud, A. A. et al
and Amedo, P.
and Antonova, M.
and Barenboim, G.
and Cervera-Villanueva, A.
and De Romeri, V.
and Garcia-Peris, M. A.
and Martin-Albo, J.
and Martinez-Mirave, P.
and Mena, O.
and Molina Bueno, L.
and Novella, P.
and Pompa, F.
and Rocabado Rocha, J. L.
and Sorel, M.
and Tortola, M.
and Tuzi, M.
and Valle, J. W. F.
and Yahlali, N.",
title="Highly-parallelized simulation of a pixelated LArTPC on a GPU",
journal="Journal of Instrumentation",
year="2023",
publisher="IOP Publishing Ltd",
volume="18",
number="4",
pages="P04034 - 35pp",
optkeywords="Detector modelling and simulations II (electric fields; charge transport; multiplication; and induction; pulse formation; electron emission; etc); Simulation methods and programs; Nobleliquid detectors (scintillation; ionization; double-phase); Time projection Chambers (TPC)",
abstract="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 103 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.",
optnote="WOS:000986658100009",
optnote="exported from refbase (https://references.ific.uv.es/refbase/show.php?record=5551), last updated on Fri, 04 Aug 2023 06:58:36 +0000",
issn="1748-0221",
doi="10.1088/1748-0221/18/04/P04034",
opturl="https://arxiv.org/abs/2212.09807",
opturl="https://doi.org/10.1088/1748-0221/18/04/P04034",
language="English"
}