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Signal reconstruction through software processing is a crucial component ofthe background and signal models in the PandaX-4T experiment, which is amulti-tonne dark matter direct search experiment. The accuracy of signalreconstruction is influenced by various detector artifacts, including noise,dark count of photomultiplier, impurity photoionization in the detector, andother relevant considerations. In this study, we present a detailed descriptionof a semi-data-driven approach designed to simulate the signal waveform. Thiswork provides a reliable model for the efficiency and bias of the signalreconstruction in the data analysis of PandaX-4T. By comparing criticalvariables which relate to the temporal shape and hit pattern of the signals, wedemonstrate a good agreement between the simulation and data.

Waveform Simulation in PandaX-4T