Falcon - graph auto-encoders for fast detector simulation


Falcon 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 falcon training and inference capability to include graph auto-encoders to improve end-to-end simulation of the detector deposits.

Task ideas and expected results


Strong development skills, good knowledge of C++ and Python. Interest in Machine Learning algorithms and applications.


Please DO NOT contact mentors directly by email, and instead please send project inquiries to MLSFT-GSOC@cern.ch with Project Title in the subject and relevant mentors will get in touch with you.

Corresponding Project

Participating Organizations