Speaker
Description
The Super Tau-Charm Facility (STCF) is a new generation $e^+ e^-$ collider designed for various physics topics in the $\tau$-charm energy region. The particle identification (PID), as one of the most fundemental tools in physics analysis, is crutial for achieving excellent physics performance. In this work, we present a powerful PID software based on ML techniques, including a global PID algorithm for charged particles combining information from all sub-detectors, a deep CNN taking Cherenkov detector inputs to discriminate charged hadrons, as well as a deep CNN discriminating neutral particles based on calorimeter responses. The preliminary results show the PID models has achieved excellent PID performance, greatly boosting the physics potential of STCF.
| Alternate track | 14. Computing, AI and Data Handling |
|---|---|
| I read the instructions above | Yes |
