3 papers
hep-ex2026
CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters
Cheng Jiang, Sitian Qian, Kevin Pedro +3
High-precision calorimeter simulation at current and future colliders imposes rapidly growing computational demands, motivating the development of machine-learning surrogates for t…
hep-ex2025
NuGraph2 with Context-Aware Inputs: Physics-Inspired Improvements in Semantic Segmentation
Vitor F. Grizzi, Margaret Voetberg, V Hewes +2
Graph neural networks have recently shown strong promise for event reconstruction tasks in Liquid Argon Time Projection Chambers, yet their performance remains limited for underrep…
hep-ex2025
NuGraph2 with Explainability: Post-hoc Explanations for Geometric Neural Network Predictions
Margaret Voetberg, Vitor F. Grizzi, Giuseppe Cerati +2
With the growing popularity of artificial intelligence used for scientific applications, the ability of attribute a result to a reasoning process from the network is in high demand…