Studies of track finding for long-lived particles at STCF

Reconstruction of the trajectories of charged particles at High Energy Physics experiments is a complicated task, in particular those of long-lived particles. At the future Super Tau-Charm Facility (STCF), long-lived particles are present in several important benchmark physics processes. A Common Tracking Software was used to reconstruct the trajectories of long-lived particles and it is shown that the track finding performance of the commonly used Combinatorial Kalman Filter for long-lived particles is limited by the seeding algorithm. This can be improved by steering the Combinatorial Kalman Filter with initial tracks provided by Hough Transform. The track finding performance of combined Hough Transform and Combinatorial Kalman Filter evaluated using the process J/ψ → Λ(→ pπ ? )Λ?(→ p?π + ) at STCF is presented.