DeepFalcon is a generative ultra-fast non-parametric detector simulation package. The goal of this project is to extend DeepFalcon to include diffusion models to improve simulation of calorimeter and tracker hits from particle interaction with the detectors
Total project length: 175/350 hours.
Strong machine learning skills, good knowledge of C++ and Python. Interest in Machine Learning algorithms and applications.
Please DO NOT contact mentors directly by email. Instead, please email ml4-sci@cern.ch with Project Title and include your CV and test results. The mentors will then get in touch with you.