Core Concepts
Developing deep generative models for ultra-high granularity particle physics detector simulation.
Abstract
The content delves into the challenges of simulating ultra-high granularity detector responses in particle physics, focusing on the Pixel Vertex Detector (PXD) at the Belle II experiment. It introduces innovative generative models like IEA-GAN and YonedaVAE to address simulation challenges and achieve unprecedented precision in detector simulations. The structure includes an introduction, detailed chapters on Belle II experiment, machine learning tools, taxonomy of generative models, PXD background generation with novel models, real data simulation with Yoneda perspective, evaluation results, and a summary and outlook.
Stats
The Belle II experiment aims for a peak luminosity of 6.5 × 10^35 cm^-2s^-1.
The PXD features over 7.5 million pixel channels.
YonedaVAE model achieves extrapolation without prior exposure to high-luminosity data.
Quotes
"In mainstream cosmology, the Universe underwent an initial inflationary phase..."
"These models not only reduce computational overhead but also achieve unprecedented precision..."
"YonedaVAE excels in OOD simulation of PXD background and effectively conditions its output based on sensor locations."