The particles entering such a tracker leave a precise record of their passage through the device, by interaction with suitably constructed components and materials.
[2] Identification and reconstruction of trajectories from the digitised output of a modern tracker can, in the simplest cases, in the absence of a magnetic field and absorbing/scattering material, be achieved via straight-line segment fits.
A simple helical model, to determine momentum in the presence of a magnetic field, might be sufficient in less simple cases, through to a complete (e.g.) Kalman Filter process, to provide a detailed reconstructed local model throughout the complete track in the most complex cases.
Clustering and Spacepoint Formation – Nearby hits are grouped together to enhance signal detection and suppress noise.
Track Fitting – A mathematical model is applied to determine the optimal trajectory that best describes the detected hits while accounting for measurement uncertainties and material interactions.