A central task in differential cross section measurements in particle-, nuclear-, and astrophysics is unfolding: the removal of detector distortions, also called deblurring or deconvolution. Unfolding is a challenging inverse, simulation-based inference task.
The goal of this conference is to bring together method developers and practioners to discuss the state-of-the-art in unfolding. One key aspect of the conference will be machine learning-based unfolding methods, which have enabled new possibilities (e.g. unbinned and high-dimensional measurements).
The conference will be held at the LPNHE in Paris from June 10 - 13, 2024. There will be a zoom connection for remote participation as well.
Organizing Committee:
Olaf Behnke
Lydia Brenner
Anja Butter
Louis Lyons
Ben Nachman
Acknowledgements: We are grateful to the France-Berkeley Fund for sponsorship and to PHYSTAT for logitistcal support.
