DeepLearningBasedEvent4-DimensionalTrackReconstructioninLArTPCDetector

Wei Mu

Keywords: Particle Physics, Neutrino, Liquid Argon TPC, Deep Learning, Track Reconstruction, Transformer

TL;DR: We preprocess LArTPC events using a transformer-based deep neural network to boost 4D track reconstruction. We offer a way to train this model with a small scientific dataset. The results serve as an excellent base for subsequent data analysis

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 37