Xabier Cid Vidal and Alejandro Novo Cal

Machine Learning for Axion-Like Particles and Quirks Searches at LHCb

Titor: Xabier" Cid Vidal

Supervisor: Alejandro Novo Cal

The Standard Model requires new theories to explain phenomena such as the universe's baryonic asymmetry or dark matter. Popular proposals include Axion-Like Particles (ALPs) with detectable decay signatures, and exotically signed particles called Quirks that leave characteristic movement patterns in the detectors. The LHCb detector provides the precision needed to study these new particles. In this project, we will develop a Machine Learning algorithm to be applied in a specific search for ALPs and/or Quirks, studying its applicability depending on the mass and lifetime of the ALPs to improve the detection sensitivity of these new physics models.