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SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics
[article]
2022
arXiv
pre-print
Deep learning methods have gained popularity in high energy physics for fast modeling of particle showers in detectors. Detailed simulation frameworks such as the gold standard Geant4 are computationally intensive, and current deep generative architectures work on discretized, lower resolution versions of the detailed simulation. The development of models that work at higher spatial resolutions is currently hindered by the complexity of the full simulation data, and by the lack of simpler, more
arXiv:2202.05012v2
fatcat:735n4c4udbh2dn7eepnt7pzeoa