Learning Transverse Momentum Distributions from Raw Scattering Events via Conditional Diffusion
Published in Conference on Physics and AI (PAI26), 2026
Transverse momentum distributions are normally extracted from scattering data through a chain of binning, correction, and fitting steps, each of which discards information. This work trains a conditional diffusion model directly on raw event-level data, learning the distribution without that intermediate pipeline.
Recommended citation: Jitao Xu, C. Cocuzza, K. Braga, D. Lersch, N. Sato, Y. Li. (2026). "Learning Transverse Momentum Distributions from Raw Scattering Events via Conditional Diffusion." Conference on Physics and AI (PAI26).