PT Journal
AU DUNE Collaboration (Abud, AAea
   Amedo, P
   Antonova, M
   Barenboim, G
   Cervera-Villanueva, A
   De Romeri, V
   Garcia-Peris, MA
   Martin-Albo, J
   Martinez-Mirave, P
   Mena, O
   Molina Bueno, L
   Novella, P
   Pompa, F
   Rocabado Rocha, JL
   Sorel, M
   Tortola, M
   Tuzi, M
   Valle, JWF
   Yahlali, N
TI Highly-parallelized simulation of a pixelated LArTPC on a GPU
SO Journal of Instrumentation
JI J. Instrum.
PY 2023
BP P04034 - 35pp
VL 18
IS 4
DI 10.1088/1748-0221/18/04/P04034
LA English
DE 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)
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.
ER