Training Deep 3D Convolutional Neural Networks to Extract BSM Physics Parameters Directly from HEP Data: a Proof-of-Concept Study Using Monte Carlo Simulations

no code implementations • 21 Nov 2023 • S. Dubey, T. E. Browder, S. Kohani, R. Mandal, A. Sibidanov, R. Sinha

We report on a novel application of computer vision techniques to extract beyond the Standard Model (BSM) parameters directly from high energy physics (HEP) flavor data.