HSF student pages for GSoC 2025

Neural (De)compression for High Energy Physics

Yolanne Lee

In high-energy physics experiments such as those at CERN’s ATLAS project, immense volumes of data are generated. This project explores the feasibility for “precision upsampling” using deep generative models to be used to reconstruct high-precision floating-point data from aggressively compressed representations.