track finding algorithm for the EicC central detector

his paper presents a track finding algorithm designed for track reconstruction in Electron-ion collider in China (EicC). The goal of algorithm is to fulfill the criterion of high track reconstruction efficiency. The algorithm is modularly constructed, leveraging an advanced cellular automaton model and the Kalman filter method to implement its core functionality. We optimized the algorithm based on the Monte Carlo events with full detector simulation based on the EicCRoot software framework. The performance of the method is also validated and excellent track reconstruction efficiency is obtained, which can well meet the physical requirements of the EicC experiment.