Speaker
Description
The Super Tau-Charm Facility (STCF) is a new-generation electron-positron collider in the tau-charm energy region, with a peak luminosity of ≥$0.5\ast{10}^{35}cm^{-2}s^{-1}$ at 4 GeV. The high luminosity gives rise to a high event rate and high beam background, presenting a significant challenge to the STCF detector. The outmost layer of the STCF detector is instrumented with a muon detector (MUD), which is required to identify high-momentum (p>1GeV/c) muons with an efficiency of ≥95% and a mis-identification rate of ≤3%. Also, about 40% of neutral hadrons produced at STCF deposit a very limited amount of energy in the STCF electromagnetic calorimeter, so the MUD should also be able to provide standalone identification capability for neutral hadrons.
A hybrid detector design has been proposed for the MUD, where 3 inner layers of resistive plate chambers (RPC) and 7 outer layers of plastic scintillator strips are integrated into 10 layers of iron yoke. In this contribution, the STCF hybrid MUD concept is presented. MUD reconstruction and BDT-based identification algorithms for muons and neutral hadrons were developed for this hybrid MUD concept. The MUD design was optimized by examining the muon identification performance based on full simulation in the STCF offline software framework for different iron yoke thickness, numbers of detector layers, combination of RPC and plastic scintillator layers. The MUD particle identification performance was improved significantly as a result of the optimization. The optimization results as well as the MUD reconstruction and identification algorithms will also be presented.
| Position | student |
|---|---|
| Affiliation | University of Science and Technology of China |
| Country | China |
