9 citations · 26 across the 6 of their papers we have counts for
3 papers · 1 filter
Deep Neural Network Uncertainty Quantification for LArTPC Reconstruction
Dae Heun Koh, Aashwin Mishra, Kazuhiro Terao
We evaluate uncertainty quantification (UQ) methods for deep learning applied to liquid argon time projection chamber (LArTPC) physics analysis tasks. As deep learning applications…
Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for Particle Imaging Detectors
Francois Drielsma, Kazuhiro Terao, Laura Dominé +1
Recent inroads in Computer Vision (CV) and Machine Learning (ML) have motivated a new approach to the analysis of particle imaging detector data. Unlike previous efforts which tack…
Point Proposal Network for Reconstructing 3D Particle Endpoints with Sub-Pixel Precision in Liquid Argon Time Projection Chambers
Laura Dominé, Pierre Côte de Soux, François Drielsma +6
Liquid Argon Time Projection Chambers (LArTPC) are particle imaging detectors recording 2D or 3D images of trajectories of charged particles. Identifying points of interest in thes…