Numerous new physics models predict massive long-lived particles that can decay to muon pairs. However, searching for such dimuon beyond standard model signals in liquid argon time projection chamber-based neutrino experiments is challenging because of the nearly irreducible neutrino background that includes one muon and one pion in the final states. The primary limiting factor is the...
"Liquid argon time projection chambers (LArTPC) detector technology has been at the forefront of some recent (MicroBooNE, ICARUS) and future (Dune) large-scale Neutrino experiments. Due to LArTPC data’s interpretability as a collection of images, it has benefited from advances in ML methods, particularly in the field of computer vision. Yet, how to best apply these methods to 3D LArTPC...
Wire-Cell is a mature, production-level LArTPC reconstruction framework that integrates physics-driven models with targeted machine learning to perform signal processing and 3D tomographic reconstruction. Current reconstruction approaches in Wire-Cell primarily exploit geometry, charge, and local connectivity, while higher-level topological information remains only partially encoded. In...
