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