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 the existing Graph Variational Autoencoder model in DeepFalcon with a transformer model 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.
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.