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physics.data-an2024
Converting sWeights to Probabilities with Density Ratios
D. I. Glazier, R. Tyson
The use of machine learning approaches continues to have many benefits in experimental nuclear and particle physics. One common issue is generating training data which is sufficien…
physics.data-an2022★ 1 cited
Machine Learned Particle Detector Simulations
D. Darulis, R. Tyson, D. G. Ireland +3
The use of machine learning algorithms is an attractive way to produce very fast detector simulations for scattering reactions that can otherwise be computationally expensive. Here…