Deep Generative Models for Ultra-High Granularity Particle Physics Detector Simulation: A Voyage From Emulation to Extrapolation

arXiv:2403.13825v1 Announce Type: cross
Abstract: Simulating ultra-high-granularity detector responses in Particle Physics represents a critical yet computationally demanding task. This thesis aims to overcome this challenge for the Pixel Vertex Detector (PXD) at the Belle II experiment, which features over 7.5M pixel channels-the highest spatial resolution detector simulation dataset ever analysed with generative models. This thesis starts off by a comprehensive and taxonomic review on generative models for simulating detector signatures. Then, it presents the Intra-Event Aware Generative Adversarial Network …

abstract arxiv challenge channels cs.ai cs.lg deep generative models experiment features generative generative models hep-ex hep-ph particle particle physics physics physics.ins-det pixel responses simulation thesis type vertex