Tracking and Machine Learning in MUSE

The "Proton Radius Puzzle" began when in 2010, via μH spectroscopy, the radius of the proton was measured to be ~0.842 ± 0.001 fm, which represents a deviation of ~5σ from the average electron-proton scattering measurement at the time. Possible explanations include questions of lepton universality, differences in handling of radiative corrections or underestimated systematic uncertainties in the proton form factors. The MUon Scattering Experiment (MUSE) aims to shed light on the proton radius puzzle through concurrent ep and μp scattering at both charge polarities. MUSE is housed at the πM1 beam line at the Paul Scherrer Institute, which is a mixed beam of e, π and μ. In addition, MUSE has the unique capability to test lepton universality directly and to probe the two-photon exchange effect. Essential to a precise extraction of the scattering cross section is a complete and accurate reconstruction of
scattered tracks. MUSE handles this through a set of Straw Tube Tracker detectors. In this talk, we will discuss the methods used to perform this tracking. In addition, we will discuss how machine learning models have been implemented to help improve our tracking results.