Graph Representation Learning for Fast Detector Simulation

Description

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 current implementation of graph auto-encoders to improve end-to-end simulation of the detector deposits.

Task ideas and expected results

Duration

Total project length: 175 hours.

Test

Please use this link to access the test for this project.

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. 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