SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics. (arXiv:2202.05012v2 [physics.data-an] UPDATED)

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 interpretable benchmarks. Our
contribution is SUPA, the …

arxiv data diagnostic machine machine learning particle physics physics