Speaker
Giorgio Foti
(Università di Messina & INFN Catania)
Description
We introduce a novel strategy to unfold detector distortions in CLAS two-pion photoproduction measurements using a diffusion model. By training the model on simulated events, we enable it to recover the "true" kinematic distributions from reconstructed data, from which moment distributions can then be extracted. This approach improves the learning convergence rate and flexibility across different topologies, paving the way for extracting moments from real CLAS data.
Author
Giorgio Foti
(Università di Messina & INFN Catania)