Signal model calibration and statistic inference for the PandaX-4T WIMP search data

PandaX-4T experiment searches for dark matter particles with a dual-phase time projection chamber holding 4 tonne liquid xenon in the sensitive volume. After the lab and detector construction for more than two years at China Jinping Underground Laboratory, PandaX-4T has begun to take scientific data since the end of the year 2020. This talk covers the signal model calibration of PandaX-4T data based on noble element simulation techniques 2.0 and Markov Chain Monte Carlo, and the profile likelihood ratio analysis with uncertainties in the signal model calibration.