End-to-End Detector Optimization with Diffusion models: A Case Study in Sampling Calorimeters

Kylian Schmidt, Nikhil Kota, Jan Kieseler +16

Recent advances in machine learning have opened new avenues for optimizing detector designs in high-energy physics, where the complex interplay of geometry, materials, and physics…