Highly-parallelized Simulation of a Pixelated LArTPC on a GPU
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Yuan, R. Zaki,J. Zalesak,L. Zambelli,B. Zamorano,A. Zani, L. Zazueta,G. P. Zeller,J. Zennamo,K. Zeug,C. Zhang,S. Zhang, Y. Zhang,M. Zhao,E. Zhivun,E. D. Zimmerman,S. Zucchelli,J. Zuklin,V. Zutshi,R. Zwaska
Journal of instrumentation（2023）
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摘要
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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关键词
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)
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