Highly-parallelized simulation of a pixelated LArTPC on a GPU

The DUNE collaboration

Producción científica: Contribución a una revistaArtículorevisión exhaustiva


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.

Idioma originalInglés
Número de artículoP04034
PublicaciónJournal of Instrumentation
EstadoPublicada - 1 abr. 2023

Tipos de productos de Minciencias

  • Artículo A2 - Q2


Profundice en los temas de investigación de 'Highly-parallelized simulation of a pixelated LArTPC on a GPU'. En conjunto forman una huella única.

Citar esto