Search for MeV-Scale Axionlike Particles and Dark Photons with PandaX-4T

Axionlike particles (ALPs) and dark photons (DPs) are viable dark matter particle candidates. We have searched for possible ALP/DP signals in the PandaX-4T liquid xenon detector using 440 kg·yr of data. A binned likelihood fit is constructed to search for possible mono-energetic peaks induced by the absorption processes between ALPs/DPs and atomic electrons of xenon. A detailed temporal model of decays associated with xenon isotopes is introduced to constrain the number of background events. No signal excess over background expectations is observed, and we have established the most stringent exclusion limits for most ALP/DP masses across the range of 150 keV/c^{2} to 1 MeV/c^{2}. The improvement is particularly significant within the mass range of 150-400 keV/c^{2}, with the average factor of 3.5 compared to previous results.

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Publication Details

Journal
Physical Review Letters
Published
2025-02-20
DOI
https://doi.org/10.1103/physrevlett.134.071004
Citations
8
Primary Topic
Dark Matter and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
14.96

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article

Search for MeV-Scale Axionlike Particles and Dark Photons with PandaX-4T

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Physical Review Letters
Dark Matter and Cosmic Phenomena
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article

Search for MeV-Scale Axionlike Particles and Dark Photons with PandaX-4T

Xiangpan Ji, Mengjiao Xiao, Yonglin Ju, Lingyin Luo, J. Huang, Yunhua Chen, Ruquan Hou, Zhao Li, Zhaokan Cheng, Zhixing Gao, Peihua Ye, Chenxiang Li, Xiang Xiao, Meng Wang, Jinrong He, Shunyu Yao, Ningchun Qi, Zhizhen Zhou, Yi Tao, Binbin Yan, Jiaxu Zhou, Xuyang Ning, Yajun Mao, Yuan Wu, Mingchuan Li, Shuaijie Li, Y. G., Xiaoying Lü, Yunyang Luo, Yubo Zhou, Dong Shan, Yuanyuan Zhang, Wei Chen, Yingjie 英杰 Fan 樊, Tao Zhang, Zhou Wang, Lei Wang, Xiuli Wang, Shu Zhang, Yu Hou, Yifan Xu, Zhe Yuan, Wei Wang, Qiuhong Wang, Jifang Zhou, Xun Chen, Ying Yuan, Jiayi Zhou, Zichao Guo, Xuming Wang, Yingxin Zhang, Tao Li, Ning Zhou, Jiafu Li, Xiaofeng Shang, Zhicheng Qian, Xinning Zeng, Wenliang Sun, Guanbo Wang, Ke Han, Manbin Shen, Di Huang, Weihao Wu, Xiangdong Ji, Deqing Fang, Chunxu Yu, Changda He, Yuehuan Wei, Xiyuan Shao, Xunan Guo, Yong Yang, Jianglai Liu, Anqing Wang, Xiangxiang Ren, Guofang Shen, Siguang Wang, Xiaopeng Zhou, P. Zhang, Shaobo Wang, Zhiyuan Li, Congcong Lu, Qing Lin, Xiangyi Cui, Xuyuan Guo, Minzhen Zhang, Youhui Yun, Wenbo Ma, Kaizhi Xiong, Yue Meng, Karl Giboni, Lisheng Geng, Binyu Pang, Chencheng Han, Houqi Huang, Xiyu Yan, Shibo Zhang, Zihao Bo, Hao Wang, Yang Zhang, Wei Zhang, Jiamin Wang
article en
8 citations

Abstract

Axionlike particles (ALPs) and dark photons (DPs) are viable dark matter particle candidates. We have searched for possible ALP/DP signals in the PandaX-4T liquid xenon detector using 440 kg·yr of data. A binned likelihood fit is constructed to search for possible mono-energetic peaks induced by the absorption processes between ALPs/DPs and atomic electrons of xenon. A detailed temporal model of decays associated with xenon isotopes is introduced to constrain the number of background events. No signal excess over background expectations is observed, and we have established the most stringent exclusion limits for most ALP/DP masses across the range of 150 keV/c^{2} to 1 MeV/c^{2}. The improvement is particularly significant within the mass range of 150-400 keV/c^{2}, with the average factor of 3.5 compared to previous results.

Physical Review LettersVol. 134(7)
University of Science and Technology of China (CN), Shandong University (CN), Sun Yat-sen University (CN), Shanghai Jiao Tong University (CN), Yantai University (CN), Chinese Academy of Sciences (CN), Peking University (CN), Nankai University (CN), Fudan University (CN), Chengdu University of Technology (CN), Yalong Hydro (China) (CN), Institute of Modern Physics (CN), University of Maryland, College Park (US), Shandong University of Science and Technology (CN), Beihang University (CN)
Tencent, National Natural Science Foundation of China, China Postdoctoral Science Foundation, Science and Technology Commission of Shanghai Municipality, National Science and Technology Major Project, Fundamental Research Funds for the Central Universities, Yalong River Joint Fund
Openalex Percentile: Top 1%
Dark Matter and Cosmic Phenomena
14.96
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