Diffusion Models for Fast Detector Simulation


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

Task ideas and expected results


Total project length: 175/350 hours.


Please use this link to access the test for this project. The test is due by April 3rd, however please keep in mind that it takes about 1 week to craft a good proposal and proposals need to be submitted via GSoC portal by April 4


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.

Corresponding Project

Participating Organizations