The PhD student working on this project will search for Lepton Flavour Violation in neutral and unflavoured meson decays in the LHCb Run-3 data. The work is done in close collaboration with the other SMARTHEP student located in Dortmund. The precision of tests by older experiments in LFV in neutral meson decays can be improved by orders of magnitude in the LHCb upgrade. Basic requirement to make this possible is an analysis that is mostly done synchronous with data taking, within the real time analysis (RTA) frame.
The first objective of this project is to develop ML-based real time selections for the signals decaying into the different lepton species. The student will be trained in optimising ML selection algorithms for RTA applications, benefiting from the existing expertise of the Dortmund group. The PhD student will also be working with XIMANTIS, where they will receive training in current best practice in ML and AI and gain hands-on experience optimising ML algorithms for traffic prediction applications. This additional industrial experience and training will allow the student to gain perspective on what kinds of methods are best suited to different types of real-time problems. Collaboration and stays at the IGFAE at University of Santiago de Compostela and CERN will allow the PhD student to deploy and commission the RTA techniques for LFV decays of light and unflavoured particles in the LHCb trigger for everyone to benefit from.
Host country: Germany
Host beneficiary: TU Dortmund
PhD-awarding institution: TU Dortmund
Experiment affiliation: LHCb
Planned collaborations: Dortmund, Ximantis, CERN, IGFAE at University of Santiago de Compostela