中国物理学会高能物理分会第十三届全国粒子物理学术会议（2021）

Liquid scintillator detectors are used in many neutrino experiments, in which ionizing radiation deposits energy, scintillates, and is finally detected by PMTs. $\gamma$ from natural radioactivity has strong penetrative power, and causes Compton effects including background. We conjecture that efficiency of PID could be increased, if the particle tracks could be reconstructed, and $\beta/\gamma$ could be identified. We fit the time profile of photon electrons of the PMTs fired by the vertices, into the probe function described approximately by polynomials, based on simulation data of point-like events in Jinping 1t detector. Then, the Bayesian Probe for Point-like Events (BAPPE) algorithm could be established, based on Fast Bayesian Matching Pursuit (FBMP), a waveform analysis algorithm. A reconstruction algorithm for multiple point-like events could be implemented consequently, and finally it will reconstruct the particle tracks.