Machine Learning for Particle Detection

The overall goal of the project is too improve the precision of CMS, a detector used in particle physics experiment. The project will focus on two aspects: improving photon and electron detection and improving jet detection (a shower of particles). In the detector, multiple particles are detected at the same time. Photons and electrons are detected in the same section of the detector, making it hard to distinguish their signal. As a solution, a new machine learning algorithm has been created to replace the current algorithm. The intern is to evaluate the performance of this new algorithm and compare it with the older one. It is expected that the algorithm will be more successful than the previous one. If this is the case, we will then use our improved photon energy readings as a reference to compare signals from particle jets which should have the same energy. This will allow to determine a correction factor for the jets energy readings.

Faculty Supervisor:

Stefanie Czischek

Student:

Partner:

Université Claude Bernard Lyon 1

Discipline:

Physics

Sector:

Education

University:

University of Ottawa

Program: