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.
Please use this link to access the test for this project.
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. Questions should instead be directed to ml4-sci@cern.ch which is forwarded to mentors. To submit your proposal, CV, and test task solutions, please use this Google form.