Speaker
Description
Future collider experiments represent a frontier in particle physic, and tracking and particle identification (PID) are crucial aspects for these experiments. In this contribution, innovations in detector technologies, such as high-resolution silicon detectors and ultra light drift chambers with PID capabilities, as proposed for the IDEA detector at Future Circular Collider (FCC), are discussed in details, highlighting their pivotal role in achieving precise momentum measurements and efficient particle identification. Moreover, the integration of machine learning algorithms for cluster counting and energy loss measurements are discussed for their importance in PID. The contribution concludes with a perspective on the implications of these advancements for the discovery potential and scientific reach of future collider experiments, underlining the collaborative efforts of physicists and engineers in shaping the forefront of particle physics research.
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