Research on ATLAS at the Large Hadron Collider

Professor: Anyes Taffard

Description: Prof Taffard is an experimental Particle Physicist performing research with the ATLAS experiment at the Large Hadron Collider (LHC). Her research focuses on searches for new physics using the Higgs boson as a new tool for discovery. Her group contributes to the experiment’s operation efforts and detector improvement projects. These include projects aimed at the ongoing Run-3 data taking (2022-2026) as well as the High-Luminosity LHC (HL-LHC: 2026-2040) running periods. In particular, her group is involved in improving the trigger capabilities of ATLAS for the HL-LHC data taking. The ATLAS trigger permits to select the events of interest for data analysis and thus is a critical component to achieve the ATLAS physics program. These projects make use of the state of the art technologies using FPGA and GPUs to implement highly performant and fast algorithms (including machine learning algorithms) to perform particle identification. 

The student will get involved in either data analysis or trigger projects.

Preferred Qualifications: Applicants should have experience in programming (python and/or C++) as well as data analysis. Applicants should have interests in particle physics experiments and analysis of data from the LHC. Interests in learning how to use FPGA/GPUs are welcomed. The project will be scaled to the experience level of the student and provide sufficient background to effectively execute the project over the summer program.