TY  - JOUR
AU  - DUNE Collaboration (Abud, A. A. et al
AU  - Amedo, P.
AU  - Antonova, M.
AU  - Barenboim, G.
AU  - Cervera-Villanueva, A.
AU  - De Romeri, V.
AU  - Garcia-Peris, M. A.
AU  - Martin-Albo, J.
AU  - Martinez-Mirave, P.
AU  - Mena, O.
AU  - Molina Bueno, L.
AU  - Novella, P.
AU  - Pompa, F.
AU  - Rocabado Rocha, J. L.
AU  - Sorel, M.
AU  - Tortola, M.
AU  - Tuzi, M.
AU  - Valle, J. W. F.
AU  - Yahlali, N.
PY  - 2023
DA  - 2023//
TI  - Highly-parallelized simulation of a pixelated LArTPC on a GPU
T2  - J. Instrum.
JO  - Journal of Instrumentation
SP  - P04034 - 35pp
VL  - 18
IS  - 4
PB  - IOP Publishing Ltd
KW  - Detector modelling and simulations II (electric fields
KW  - charge transport
KW  - multiplication
KW  - and induction
KW  - pulse formation
KW  - electron emission
KW  - etc)
KW  - Simulation methods and programs
KW  - Nobleliquid detectors (scintillation
KW  - ionization
KW  - double-phase)
KW  - Time projection Chambers (TPC)
AB  - 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.
SN  - 1748-0221
UR  - https://arxiv.org/abs/2212.09807
UR  - https://doi.org/10.1088/1748-0221/18/04/P04034
DO  - 10.1088/1748-0221/18/04/P04034
LA  - English
N1  - WOS:000986658100009
ID  - DUNECollaborationAbud_etal2023
ER  -