Abstract
A time-of-flight detector based on detection of internally reflected Cherenkov light (DTOF), is proposed for the endcap particle identification at the Super Tau–Charm Facility (STCF) in China. In this paper, the particle identification performance of the detector is studied by performing an imaging-based likelihood analysis combining the 2D position and arrival time measurements of each photon recorded by the detector. Two analytical algorithms, one with a pattern-smoothing process approximating the multiple Coulomb scattering effect and the other without, are developed to rapidly obtain the hit pattern of photons for a given incident charged particle. Using the imaging-based likelihood, a pion identification efficiency of >97%, with a corresponding kaon misidentification rate of 2%, is achieved in most of the phase space at p < 2.4 GeV/c. In addition, good μ/π separation can be provided by the DTOF detector at p < 0.5 GeV/c, compensating for the muon detector’s poor performance at low momenta.
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