the Reweighting Adversarial Network

Reweighting Adversarial Networks for Unbinned Unfolding

arXiv:2606.06603v1 Announce Type: cross Abstract: Differential cross sections are the currency of scientific exchange in particle and nuclear physics. Recently, machine learning methods have enabled unbinned and high-dimensional cross section measurements through new approaches to unfolding. A key challenge with unfolding is that it is a bi-level optimization problem where constraints are available at the detector level while the target is at the particle level, linked by a stochastic...