Skip to Content

Team

Summer Fellowships

Last modified by Ricardo Julio Rodríguez Fernández on 2025/07/10 20:58
Show last authors
1 === Machine Learning techniques to look for rare physical signals ===
2 ==== Supervisor: Miguel Fernández Gómez
3 ====
4
5 The Standard Model of Particle Physics is the most precise description of the subatomic world that exists. Despite that, we continue to subject it to strenuous experimental tests, which include the searches for physical processes that are very unlikely to occur. An observation with a higher probability than predicted would be a clear sign of new physics.
6
7 Machine Learning provides us an excellent toolkit to analyze these very rare processes. In this project, we will take data collected by the LHCb experiment, one of the four main detectors at the Large Hadron Collider at CERN, and use Machine Learning techniques to look for rare physical signals.