Graph Representation Learning for Fast Detector Simulation

Description

DeepFalcon is a generative ultra-fast non-parametric detector simulation package. The goal of this project is to extend DeepFalcon to extend the current graph VAE to improve simulation of calorimeter and tracker hits from particle interaction with the detectors

Task ideas and expected results

Duration

Total project length: 175/350 hours.

Requirements

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

Mentors

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.

Corresponding Project

Participating Organizations