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

ORAL

Abstract

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.

*This project is supported in part by a grant from the Ministry of Science and Technology of China (No. 2016YFA0400301), grants from National Science Foun- dation of China (Nos. 12090060, 12005131, 11905128, 11925502, 11775141), and by Office of Science and Technology, Shanghai Municipal Government (grant No. 18JC1410200). We thank supports from Double First Class Plan of the Shanghai Jiao Tong University. We also thank the sponsorship from the Chinese Academy of Sci- ences Center for Excellence in Particle Physics (CCEPP), Hongwen Foundation in Hong Kong, and Tencent Foun- dation in China. Finally, we thank the CJPL adminis- tration and the Yalong River Hydropower Development Company Ltd. for indispensable logistical support and other help.

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Publication: https://arxiv.org/pdf/2107.13438.pdf

Presenters

  • Dan Zhang

    • University of Maryland, College Park

Authors

  • Dan Zhang

    • University of Maryland, College Park