English

Neutron-induced nuclear recoil background in the PandaX-4T experiment

High Energy Physics - Experiment 2022-08-01 v2 Instrumentation and Detectors

Abstract

Neutron-induced nuclear recoil background is critical to the dark matter searches in the PandaX-4T liquid xenon experiment. This paper studies the feature of neutron background in liquid xenon and evaluates their contribution in the single scattering nuclear recoil events through three methods. The first method is fully Monte Carlo simulation based. The last two are data-driven methods that also use the multiple scattering signals and high energy signals in the data, respectively. In the PandaX-4T commissioning data with an exposure of 0.63 tonne-year, all these methods give a consistent result that there are 1.15±0.571.15\pm0.57 neutron-induced background in dark matter signal region within an approximated nuclear recoil energy window between 5 and 100 keV.

Keywords

Cite

@article{arxiv.2206.06087,
  title  = {Neutron-induced nuclear recoil background in the PandaX-4T experiment},
  author = {Zhou Huang and Guofang Shen and Qiuhong Wang and Abdusalam Abdukerim and Zihao Bo and Wei Chen and Xun Chen and Yunhua Chen and Chen Cheng and Yunshan Cheng and Xiangyi Cui and Yingjie Fan and Deqing Fang and Changbo Fu and Mengting Fu and Lisheng Geng and Karl Giboni and Linhui Gu and Xuyuan Guo and Chencheng Han and Ke Han and Changda He and Jinrong He and Di Huang and Yanlin Huang and Ruquan Hou and Xiangdong Ji and Yonglin Ju and Chenxiang Li and Mingchuan Li and Shu Li and Shuaijie Li and Qing Lin and Jianglai Liu and Xiaoying Lu and Lingyin Luo and Wenbo Ma and Yugang Ma and Yajun Mao and Yue Meng and Xuyang Ning and Ningchun Qi and Zhicheng Qian and Xiangxiang Ren and Nasir Shaheed and Changsong Shang and Lin Si and Wenliang Sun and Andi Tan and Yi Tao and Anqing Wang and Meng Wang and Shaobo Wang and Siguang Wang and Wei Wang and Xiuli Wang and Zhou Wang and Mengmeng Wu and Weihao Wu and Jingkai Xia and Mengjiao Xiao and Xiang Xiao and Pengwei Xie and Binbin Yan and Xiyu Yan and Jijun Yang and Yong Yang and Chunxu Yu and Jumin Yuan and Ying Yuan and Dan Zhang and Minzhen Zhang and Peng Zhang and Tao Zhang and Li Zhao and Qibin Zheng and Jifang Zhou and Ning Zhou and Xiaopeng Zhou and Yong Zhou},
  journal= {arXiv preprint arXiv:2206.06087},
  year   = {2022}
}

Comments

14 pages, 14 figures, 6 tables