DeepFalcon is an ultra-fast non-parametric detector simulation package that automatically abstracts detector response, usually done by hand in fast-simulators used by particle physics experiments. The goal of this project is to extend DeepFalcon training and inference capability to include diffusion models to improve end-to-end simulation of the detector deposits.
Total project length: 175 hours.
Strong machine learning skills, good knowledge of C++ and Python. Interest in Machine Learning algorithms and applications.
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