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Detecting neutrinos from supernova bursts in PandaX-4T

Chinese Physics C 2024年第7期48卷 14-21页

作者：庞彬宇阿布都沙拉木·阿布都克力木薄子豪陈葳谌勋程晨成兆侃崔祥仪樊英杰方德清符长波付孟婷耿立升 Karl Giboni 顾琳慧郭绪元韩晨成韩柯何昶达何金荣黄迪黄彦霖黄俊挺黄周侯汝全侯钰季向东巨永林李晨翔李家富李名川李帅杰李涛林箐刘江来陆聪聪芦晓盈罗棱尹罗云阳马文博马余刚冒亚军孟月宁旭阳祁宁春钱志成任祥祥 nasir shaheed 尚晓凤邵熙元申国防司琳孙文良谈安迪陶奕王安庆王萌王秋红王少博王思广王为王秀丽王舟魏月环武蒙蒙邬维浩夏经铠肖梦姣肖翔谢鹏伟燕斌斌颜玺雨杨继军杨勇姚玉坤喻纯旭袁影苑哲鑫宁张丹张敏桢张鹏张世博张澍张涛张洋张瀛心张园园赵力郑其斌周济芳周宁周小朋周永周钰博 New Cornerstone Science Laboratory Tsung-Dao Lee InstituteShanghai Jiao Tong UniversityShanghai200240China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary ScienceShandong UniversityQingdao 266237ShandongChina Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong UniversityQingdao 266237ShandongChina School of Physics and Astronomy Shanghai Jiao Tong UniversityKey Laboratory for Particle Astrophysics and Cosmology(MoE)Shanghai Key Laboratory for Particle Physics and CosmologyShanghai 200240China Shanghai Jiao Tong University Sichuan Research Institute Chengdu 610213China School of Physics Sun Yat-Sen UniversityGuangzhou 510275China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen UniversityZhuhai519082China Department of Physics Yantai UniversityYantai 264005China Key Laboratory of Nuclear Physics and Ion-beam Application(MOE) Institute of Modern PhysicsFudan UniversityShanghai 200433China School of Physics Peking UniversityBeijing 100871China School of Physics Beihang UniversityBeijing 102206China International Research Center for Nuclei and Particles in the Cosmos&Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang UniversityBeijing 100191China School of Physics and Microelectronics Zhengzhou UniversityZhengzhouHenan 450001China Yalong River Hydropower Development Company Ltd.288 Shuanglin RoadChengdu 610051China School of Medical Instrument and Food Engineering University of Shanghai for Science and TechnologyShanghai 200093China School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Department of Physics University of MarylandCollege ParkMaryland 20742USA State Key Laboratory of Particle Detection and Electronics University of Science and Technology of ChinaHefei 230026China Department of Modern Physics University of Science and Technology of ChinaHefei 230026China School of Physics Nankai UniversityTian

Neutrinos from core-collapse supernovae are essential for understanding neutrino physics and stellar ***-phase xenon dark matter detectors can be used to track explosions of galactic supernovae by detecting neutrinos through coherent elastic neutrino-nucleus *** this study,a variation of progenitor masses and explosion models are assumed to predict neutrino fluxes and spectra,which result in the number of expected neutrino events ranging from 6.6 to 13.7 at a distance of 10 kpc over a 10-s duration with negligible backgrounds at *** specialized triggering alarms for monitoring supernova burst neutrinos are *** efficiency of detecting supernova explosions at various distances in the Milky Way is *** alarms will be implemented in the real-time supernova monitoring system at PandaX-4T in the near future,which will provide supernova early warnings for the astronomical community.

关键词： core-collapse supernovae neutrinos liquid xenon detectors supernova early warnings

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Waveform simulation in PandaX-4T

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Chinese Physics C 2024年第7期48卷 1-13页

作者：李家富阿卜杜萨拉姆薄子豪陈葳谌勋程晨成赵侃崔祥仪樊英杰方德清耿立升 Karl Giboni 郭绪元韩晨成韩柯何昶达何金荣黄迪黄俊挺黄周侯汝全侯钰季向东巨永林李晨翔李名川李帅杰李涛林箐刘江来陆聪聪芦晓盈罗棱尹罗云阳马文博马余刚冒亚军孟月宁旭阳庞彬宇祁宁春钱志成任祥祥 nasir shaheed 尚晓凤邵熙元申国防司琳孙文良谈安迪陶奕王安庆王萌王秋红王少博王思广王为王秀丽王旭王舟魏月环武蒙蒙邬维浩吴渊肖梦姣肖翔燕斌斌阎玺宇杨勇喻纯旭袁影苑哲运有辉曾鑫宁张敏桢张鹏张世博张澍张涛张威张洋张瀛心张园园赵力周济芳周宁周小朋周永周钰博周知震 School of Physics and Astronomy Shanghai Jiao Tong UniversityKey Laboratory for Particle Astrophysics and Cosmology(MoE)Shanghai Key Laboratory for Particle Physics and CosmologyShanghai 200240China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of ChinaHefei 230026China Department of Modern Physics University of Science and Technology of ChinaHefei 230026China School of Physics Beihang UniversityBeijing 102206China International Research Center for Nuclei and Particles in the Cosmos&Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang UniversityBeijing 100191China School of Physics and Microelectronics Zhengzhou UniversityZhengzhou 450001China School of Physics Peking UniversityBeijing 100871China Yalong River Hydropower Development Company Ltd.288 Shuanglin RoadChengdu 610051China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary ScienceShandong UniversityQingdao 266237China Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong UniversityQingdao 266237China Department of Physics University of MarylandCollege ParkMaryland 20742USA Tsung-Dao Lee Institute Shanghai Jiao Tong UniversityShanghai200240China School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China School of Physics Sun Yat-Sen UniversityGuangzhou 510275China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen UniversityZhuhai 519082China School of Physics and Astronomy Sun Yat-Sen UniversityZhuhai 519082China School of Physics Nankai UniversityTianjin 300071China Key Laboratory of Nuclear Physics and Ion-beam Application(MOE) Institute of Modern PhysicsFudan UniversityShanghai 200433China Shanghai Jiao Tong University Sichuan Research Institute Chengdu 610213China SJTU Paris Elite Institute of Technology Shanghai Jiao Tong UniversityShanghai 200240China Department of Physics Yantai UniversityYantai 264005Ch

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 *** accuracy of signal reconstruction is influenced by various detector artifacts,including noise,dark count of photomultiplier,photoionization of impurities in the detector,and other relevant *** this study,we presented a detailed description of a semi-data-driven approach designed to simulate a signal *** work provides a reliable model for the efficiency and bias of the signal reconstruction in the data analysis of *** comparing critical variables that relate to the temporal shape and hit pattern of the signals,we found good agreement between the simulation and data.

关键词： dark matter time projection chamber simulation

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Waveform simulation in PandaX-4T

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Chinese Physics C 2024年第7期 5-17页

作者：李家富阿卜杜萨拉姆薄子豪陈葳谌勋程晨成赵侃崔祥仪樊英杰方德清耿立升 Karl Giboni 郭绪元韩晨成韩柯何昶达何金荣黄迪黄俊挺黄周侯汝全侯钰季向东巨永林李晨翔李名川李帅杰李涛林箐刘江来陆聪聪芦晓盈罗棱尹罗云阳马文博马余刚冒亚军孟月宁旭阳庞彬宇祁宁春钱志成任祥祥 nasir shaheed 尚晓凤邵熙元申国防司琳孙文良谈安迪陶奕王安庆王萌王秋红王少博王思广王为王秀丽王旭王舟魏月环武蒙蒙邬维浩吴渊肖梦姣肖翔燕斌斌阎玺宇杨勇喻纯旭袁影苑哲运有辉曾鑫宁张敏桢张鹏张世博张澍张涛张威张洋张瀛心张园园赵力周济芳周宁周小朋周永周钰博周知震 School of Physics Sun Yat-Sen University School of Physics and Astronomy Shanghai Jiao Tong University Key Laboratory for Particle Astrophysics and Cosmology (MoE) Shanghai Key Laboratory for Particle Physics and Cosmology Shanghai Jiao Tong University Sichuan Research Institute Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen University Tsung-Dao Lee Institute Shanghai Jiao Tong University Department of Physics Yantai University Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) Institute of Modern Physics Fudan University School of Physics Beihang University International Research Center for Nuclei and Particles in the Cosmos & Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University School of Physics and Microelectronics Zhengzhou University Yalong River Hydropower Development Company Ltd. School of Mechanical Engineering Shanghai Jiao Tong University Department of Physics University of Maryland College Park Department of Modern Physics University of Science and Technology of China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary Science Shandong University Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong University School of Physics Peking University School of Physics Nankai University SJTU Paris Elite Institute of Technology Shanghai Jiao Tong University School of Physics and Astronomy Sun Yat-Sen University

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, photoionization of impurities in the detector, and other relevant considerations. In this study, we presented a detailed description of a semi-data-driven approach designed to simulate a 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 that relate to the temporal shape and hit pattern of the signals, we found good agreement between the simulation and data.

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Detecting neutrinos from supernova bursts in PandaX-4T

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Chinese Physics C 2024年第7期 18-25页

作者：庞彬宇阿布都沙拉木·阿布都克力木薄子豪陈葳谌勋程晨成兆侃崔祥仪樊英杰方德清符长波付孟婷耿立升 Karl Giboni 顾琳慧郭绪元韩晨成韩柯何昶达何金荣黄迪黄彦霖黄俊挺黄周侯汝全侯钰季向东巨永林李晨翔李家富李名川李帅杰李涛林箐刘江来陆聪聪芦晓盈罗棱尹罗云阳马文博马余刚冒亚军孟月宁旭阳祁宁春钱志成任祥祥 nasir shaheed 尚晓凤邵熙元申国防司琳孙文良谈安迪陶奕王安庆王萌王秋红王少博王思广王为王秀丽王舟魏月环武蒙蒙邬维浩夏经铠肖梦姣肖翔谢鹏伟燕斌斌颜玺雨杨继军杨勇姚玉坤喻纯旭袁影苑哲曾鑫宁张丹张敏桢张鹏张世博张澍张涛张洋张瀛心张园园赵力郑其斌周济芳周宁周小朋周永周钰博 Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary Science Shandong University Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong University School of Physics and Astronomy Shanghai Jiao Tong University Key Laboratory for Particle Astrophysics and Cosmology (MoE) Shanghai Key Laboratory for Particle Physics and Cosmology Shanghai Jiao Tong University Sichuan Research Institute School of Physics Sun Yat-Sen University Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen University New Cornerstone Science Laboratory Tsung-Dao Lee Institute Shanghai Jiao Tong University Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) Institute of Modern Physics Fudan University School of Physics Peking University School of Physics Beihang University International Research Center for Nuclei and Particles in the Cosmos & Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University School of Physics and Microelectronics Zhengzhou University Yalong River Hydropower Development Company Ltd. School of Medical Instrument and Food Engineering University of Shanghai for Science and Technology School of Mechanical Engineering Shanghai Jiao Tong University Department of Physics University of Maryland College Park Department of Physics Yantai University State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Department of Modern Physics University of Science and Technology of China School of Physics Nankai University SJTU Paris Elite Institute of Technology Shanghai Jiao Tong University School of Physics and Astronomy Sun Yat-Sen University

Neutrinos from core-collapse supernovae are essential for understanding neutrino physics and stellar evolution. Dual-phase xenon dark matter detectors can be used to track explosions of galactic supernovae by detecting neutrinos through coherent elastic neutrino-nucleus scatterings. In this study, a variation of progenitor masses and explosion models are assumed to predict neutrino fluxes and spectra, which result in the number of expected neutrino events ranging from 6.6 to 13.7 at a distance of 10 kpc over a 10-s duration with negligible backgrounds at PandaX-4T. Two specialized triggering alarms for monitoring supernova burst neutrinos are built. The efficiency of detecting supernova explosions at various distances in the Milky Way is estimated. These alarms will be implemented in the real-time supernova monitoring system at PandaX-4T in the near future, which will provide supernova early warnings for the astronomical community.

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Measurement of solar pp neutrino flux using electron recoil data from PandaX-4T commissioning run

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CHINESE PHYSICS C 2024年第9期48卷 1-7,300页

作者： Lu, Xiaoying Abdukerim, Abdusalam Bo, Zihao Chen, Wei Chen, Xun Chen, Yunhua Cheng, Chen Cheng, Zhaokan Cui, Xiangyi Fan, Yingjie Fang, Deqing Geng, Lisheng Giboni, Karl Guo, Xuyuan Han, Chencheng Han, Ke He, Changda He, Jinrong Huang, Di Huang, Junting Huang, Zhou Hou, Ruquan Hou, Yu Ji, Xiangdong Ju, Yonglin Li, Chenxiang Li, Jiafu Li, Mingchuan Li, Shuaijie Li, Tao Lin, Qing Liu, Jianglai Lu, Congcong Luo, Lingyin Luo, Yunyang Ma, Wenbo Ma, Yugang Mao, Yajun Meng, Yue Ning, Xuyang Pang, Binyu Qi, Ningchun Qian, Zhicheng Ren, Xiangxiang shaheed, nasir Shang, Xiaofeng Shao, Xiyuan Shen, Guofang Shen, Manbin Si, Lin Tao, Yi Wang, Anqing Wang, Meng Wang, Qiuhong Wang, Shaobo Wang, Siguang Wang, Wei Wang, Xiuli Wang, Xu Wang, Zhou Wei, Yuehuan Wu, Mengmeng Wu, Weihao Wu, Yuan Xiao, Mengjiao Xiao, Xiang Xiong, Kaizhi Yan, Binbin Yan, Xiyu Yang, Yong Yuan, Ying Yuan, Zhe Yun, Youhui Zeng, Xinning Zhang, Minzhen Zhang, Peng Zhang, Shibo Zhang, Shu Zhang, Tao Zhang, Wei Zhang, Yang Zhang, Yingxin Zhang, Yuanyuan Zhao, Li Zhou, Jifang Zhou, Ning Zhou, Xiaopeng Zhou, Yubo Zhou, Zhizhen Shandong Univ Inst Frontier & Interdisciplinary Sci Res Ctr Particle Sci & Technol Qingdao 266237 Peoples R China Shandong Univ Key Lab Particle Phys & Particle Irradiat Minist Educ Qingdao 266237 Peoples R China Shanghai Jiao Tong Univ Sch Phys & Astron Shanghai Key Lab Particle Phys & Cosmol Key Lab Particle Astrophys & Cosmol MOE Shanghai 200240 Peoples R China Shanghai Jiao Tong Univ Tsung Dao Lee Inst New Cornerstone Sci Lab Shanghai 200240 Peoples R China Shanghai Jiao Tong Univ Sichuan Res Inst Chengdu 610213 Peoples R China Jinping Deep Underground Frontier Sci & Dark Matt Liangshan 615000 Peoples R China Yalong River Hydropower Dev Co Ltd 288 Shuanglin Rd Chengdu 610051 Peoples R China Shanghai Jiao Tong Univ SJTU Paris Elite Inst Technol Shanghai 200240 Peoples R China Shanghai Jiao Tong Univ Sch Mech Engn Shanghai 200240 Peoples R China Sun Yat Sen Univ Sch Phys Guangzhou 510275 Peoples R China Sun Yat Sen Univ Sino French Inst Nucl Engn & Technol Zhuhai 519082 Peoples R China Yantai Univ Dept Phys Yantai 264005 Peoples R China Fudan Univ Inst Modern Phys Key Lab Nucl Phys & Ion Beam Applicat MoE Shanghai 200433 Peoples R China Beihang Univ Sch Phys Beijing 102206 Peoples R China Beihang Univ Beijing Key Lab Adv Nucl Mat & Phys Beijing 102206 Peoples R China Beihang Univ Peng Huanwu Collaborat Ctr Res & Educ Beijing 100191 Peoples R China Chinese Acad Sci Inst Modern Phys Southern Ctr Nucl Sci Theory SCNT Huizhou 516000 Peoples R China Univ Maryland Dept Phys College Pk MD 20742 USA Univ Sci & Technol China State Key Lab Particle Detect & Elect Hefei 230026 Peoples R China Univ Sci & Technol China Dept Modern Phys Hefei 230026 Peoples R China Peking Univ Sch Phys Beijing 100871 Peoples R China Nankai Univ Sch Phys Tianjin 300071 Peoples R China Sun Yat Sen Univ Sch Phys & Astron Zhuhai 519082 Peoples R China

The proton-proton (pp) fusion chain dominates the neutrino production in the Sun. The uncertainty of the predicted pp neutrino flux is at the sub-percent level, whereas that of the best measurement is O(10%). In this study, for the first time, we measure solar pp neutrinos in the electron recoil energy range from 24 to 144 keV using the PandaX-4T commissioning data with 0.63 tonne x year exposure. The pp neutrino flux is determined as, (8.0 +/- 3.9 (stat) +/- 10.0 (syst) x 10(10) s(-1) cm(-2) which is consistent with the Standard Solar Model and existing measurements, corresponding to an upper flux limit of 23.3 x 10(10) at 90% C.L..

关键词： solar pp neutrino flux PandaX-4T electron recoil spectrum GENERATION

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Classification and Comprehension of Software Requirements Using Ensemble Learning

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Computers, Materials & Continua 2024年第8期80卷 2839-2855页

作者： Jalil Abbas Arshad Ahmad Syed Muqsit shaheed Rubia Fatima Sajid Shah Mohammad Elaffendi Gauhar Ali School of Computer Science and Technology Anhui UniversityHefei230039China School of Computing Sciences Pak Austria FachhochschuleInstitute of Applied Sciences and TechnologyHaripur22620Pakistan Department of Computer Science and IT University of LahoreLahore55150Pakistan Department of Computer Science Emerson UniversityPunjabMultan60000Pakistan EIAS(Emerging Intelligent Autonomous Systems)Data Science Lab Prince Sultan UniversityRiyad12435Saudi Arabia

The software development process mostly depends on accurately identifying both essential and optional ***,user needs are typically expressed in free-form language,requiring significant time and human resources to translate these into clear functional and non-functional *** address this challenge,various machine learning(ML)methods have been explored to automate the understanding of these requirements,aiming to reduce time and human ***,existing techniques often struggle with complex instructions and large-scale *** our study,we introduce an innovative approach known as the Functional and Non-functional Requirements Classifier(FNRC).By combining the traditional random forest algorithm with the Accuracy Sliding Window(ASW)technique,we develop optimal sub-ensembles that surpass the initial classifier’s accuracy while using fewer *** results demonstrate that our FNRC methodology performs robustly across different datasets,achieving a balanced Precision of 75%on the PROMISE dataset and an impressive Recall of 85%on the CCHIT *** datasets consistently maintain an F-measure around 64%,highlighting FNRC’s ability to effectively balance precision and recall in diverse *** findings contribute to more accurate and efficient software development processes,increasing the probability of achieving successful project outcomes.

关键词： Ensemble learning machine learning non-functional requirements requirement engineering accuracy sliding window

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Considerations for the use of porcine organ donation models in preclinical organ donor intervention research

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Animal Models and Experimental Medicine 2024年第3期7卷 283-296页

作者： Frazer I.Heinis shaheed Merani Nicholas W.Markin Kim F.Duncan Michael J.Moulton Lance Fristoe William E.Thorell Raechel A.Sherrick Tami R.Wells Matthew T.Andrews Marian Urban School of Natural Resources Institute of Agriculture and Natural ResourcesUniversity of Nebraska-LincolnLincolnNebraskaUSA Division of Transplantation and Vascular Surgery Department of SurgeryUniversity of Nebraska Medical CenterOmahaNebraskaUSA Department of Anesthesiology University of Nebraska Medical CenterOmahaNebraskaUSA Division of Cardiothoracic Surgery Department of SurgeryUniversity of Nebraska Medical CenterOmahaNebraskaUSA Clinical Perfusion Nebraska Medicine-Nebraska Medical CenterOmahaNebraskaUSA Department of Neurosurgery University of Nebraska Medical CenterOmahaNebraskaUSA Nutrition and Health Sciences College of Education and Human SciencesUniversity of Nebraska-LincolnLincolnNebraskaUSA Department of Comparative Medicine University of Nebraska Medical CenterOmahaNebraskaUSA

Use of animal models in preclinical transplant research is essential to the optimization of human allografts for clinical *** models of organ donation and preservation help to advance and improve technical elements of solid organ recovery and facilitate research of ischemia-reperfusion injury,organ preservation strategies,and future donor-based *** considerations include cost,public opinion regarding the conduct of animal research,translational value,and relevance of the animal model for clinical *** present an overview of two porcine models of organ donation:donation following brain death(DBD)and donation following circulatory death(DCD).The cardiovascular anatomy and physiology of pigs closely resembles those of humans,making this species the most appropriate for pre-clinical *** are also considered a potential source of organs for human heart and kidney *** is imperative to minimize animal loss during procedures that are surgically *** present our experience with these models and describe in detail the use cases,procedural approach,challenges,alternatives,and limitations of each model.

关键词： animal model brain death circulatory death organ transplantation

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Constraining self-interacting dark matter with the full dataset of PandaX-II

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Science China(Physics,Mechanics & Astronomy) 2021年第11期64卷 2-7页

作者： Jijun Yang Abdusalam Abdukerim Wei Chen Xun Chen Yunhua Chen Chen Cheng Xiangyi Cui Yingjie Fan Deqing Fang Changbo Fu Mengting Fu Lisheng Geng Karl Giboni Linhui Gu Xuyuan Guo Ke Han Changda He Shengming He Di Huang Yan Huang Ran Huo Yanlin Huang Zhou Huang Xiangdong Ji Yonglin Ju Shuaijie Li Qing Lin Huaxuan Liu Jianglai Liu Xiaoying Lu Wenbo Ma Yugang Ma Yajun Mao Yue Meng nasir shaheed Kaixiang Ni Jinhua Ning Xuyang Ning Xiangxiang Ren Changsong Shang Guofang Shen Lin Si Andi Tan Anqing Wang Hongwei Wang Meng Wang QiuHong Wang Siguang Wang Wei Wang Xiuli Wang Zhou Wang Mengmeng Wu Shiyong Wu Weihao Wu Jingkai Xia Mengjiao Xiao Xiang Xiao Pengwei Xie Binbin Yan Yong Yang Chunxu Yu Hai-Bo Yu Jumin Yuan Ying Yuan Xinning Zeng Dan Zhang Tao Zhang Li Zhao Qibin Zheng Jifang Zhou Ning Zhou Xiaopeng Zhou School of Physics and Astronomy Shanghai Jiao Tong UniversityMOE Key Laboratory for Particle Astrophysics and CosmologyShanghai Key Laboratory for Particle Physics and CosmologyShanghai 200240China Shanghai Jiao Tong University Sichuan Research Institude Chengdu 610213China Yalong River Hydropower Development Company Ltd.Chengdu 610051China School of Physics Sun Yat-sen UniversityGaungzhou 510275China Tsung-Dao Lee Institute Shanghai 200240China School of Physics Nankai UniversityTianjin 300071China Key Laboratory of Nuclear Physics and Ion-beam Application(MOE) Institute of Modern PhysicsFudan UniversityShanghai 200433China School of Physics Peking UniversityBeijing 100871China School of Physics Beihang UniversityBeijing 100191China International Research Center for Nuclei and Particles in the Cosmos&Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang UniversityBeijing 100191China Shandong Institute of Advanced Technology Jinan 250103China School of Medical Instrument and Food Engineering University of Shanghai for Science and TechnologyShanghai 200093China Department of Physics University of MarylandCollege ParkMaryland 20742USA School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of ChinaHefei 230026China Department of Modern Physics University of Science and Technology of ChinaHefei 230026China Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong UniversityJinan 250100China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary ScienceShandong UniversityQingdao 266237China Shanghai Advanced Research Institute Chinese Academy of SciencesShanghai 201210China Department of Physics and Astronomy University of CaliforniaRiversideCalifornia 92507USA Center of High Energy Physics Peking UniversityBeijing 100871China

Self-interacting dark matter(SIDM)is a leading candidate proposed to solve discrepancies between predictions of the prevailing cold dark matter theory and observations of *** SIDM models predict the existence of a light force carrier that mediates strong dark matter *** the mediator couples to the standard model particles,it could produce characteristic signals in dark matter direct detection *** report searches for signals of SIDM models with a light mediator using the full dataset of the PandaX-II experiment,basing on a total exposure of 132 *** significant excess over background is found,and our likelihood analysis leads to a strong upper limit on the dark matter-nucleon coupling *** further combine the PandaX-II constraints and those from observations of the light element abundances in the early universe,and show that direct detection and cosmological probes can provide complementary constraints on dark matter models with a light mediator.

关键词： dark matter direct detection self-interacting dark matter

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Determination of Double Beta Decay Half-Life of 136Xe with the PandaX-4T Natural Xenon Detector

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Research 2023年第2期2022卷 33-41页

作者： Lin Si Zhaokan Cheng Abdusalam Abdukerim Zihao Bo Wei Chen Xun Chen Yunhua Chen Chen Cheng Yunshan Cheng Xiangyi Cui Yingjie Fan Deqing Fang Changbo Fu Mengting Fu Lisheng Geng Karl Giboni Linhui Gu Xuyuan Guo Ke Han Changda He Jinrong He Di Huang Yanlin Huang Zhou Huang Ruquan Hou Xiangdong Ji Yonglin Ju Chenxiang Li Jiafu Li Mingchuan Li Shu Li Shuaijie Li Qing Lin Jianglai Liu Xiaoying Lu Lingyin Luo Yunyang Luo Wenbo Ma Yugang Ma Yujun Mao Yue Meng nasir shaheed Xiaofeng Shang Xuyang Ning Ningchun Qi Zhicheng Qian Xiangxiang Ren Changsong Shang Guofang Shen Wenliang Sun Andi Tan Yi Tao Anqing Wang Meng Wang Qiuhong Wang Shaobo Wang Siguang Wang Wei Wang Xiuli Wang Zhou Wang Yuehuan Wei Mengmeng Wu Weihao Wu Jingkai Xia Mengjiao Xiao Xiang Xiao Pengwei Xie Binbin Yan Xiyu Yan Yong Yang Chunxu Yu Jumin Yuan Ying Yuan Zhe Yuan Dan Zhang Minzhen Zhang Peng Zhang Shibo Zhang Shu Zhang Tao Zhang Li Zhao Qibin Zheng Jifang Zhou Ning Zhou Xiaopeng Zhou Yong Zhou IMOE Key Laboratory for Particle Astrophysics and Cosmology Shanghai Key Laboratory for Particle Physics and Cosmology School of Physics and AstronomyShanghai Jiao Tong UniversityShanghai 200240China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-sen UniversityZhuhai 519082China Sichuan Research Institute Shanghai Jiao Tong UniversityChengdu 610213China Yalong River Hydropower Development Company Ltd.288 Shuanglin RoadChengdu 610051China School of Physics Sun Yat-sen UniversityGuangzhou 510275China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary ScienceShandong UniversityQingdao266237 ShandongChina Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong UniversityQingdao266237 ShandongChina Tsung-Dao Lee Institute Shanghai Jiao Tong UniversityShanghai 200240China School of Physics Nankai UniversityTianjin 300071China Key Laboratory NuclearPyics and Ionampplication(MOE)Instituteof ModenPysics Fun Universty Shanghai 200433China School of Physics Peking UniversityBeijing 100871China Schol of Physics Beihang UniversityBejing 100191China International Research Center for Nuclei and Particles in the Cosmos Beijing key Laboratory of Advanced Nuclear Materials and Physics Beihang UniversityBeijing 100191China School of Medical Instrument and Food Engineering University of Shanghai for Science and TechnologyShanghai200093China Department of Physics University of MarylandCollge ParkMaryland 20742USA School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China State Key Laboratoryof Particle Detetion and Electronics University of Scienceand Technology of ChinaHefei230026China Department of Modern Physics University of Science and Technology of ChinaHefei230026China SJTU ParisElite Instute of Technology Shanghai Jiao Tong UniversityShanghai 200240China

Precise measurement of two-neutrino double beta decay(DBD)half-life is an important step for the searches of Majorana neutrinos with neutrinoless double beta *** report the measurement of DBD half-life of 136xe using the Pandax-4T dual-phase Time Projection Chamber(TPC)with 3.7-tonne natural xenon and the first 94.9-day physics data release.

关键词： decay double Determination

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

引用

Chinese Physics C 2022年第11期46卷 262-274页

作者： Zhou Huang Guofang Shen Qiuhong Wang Abdusalam Abdukerim Zihao Bo Wei Chen Xun Chen Yunhua Chen Chen Cheng Yunshan Cheng Xiangyi Cui Yingjie Fan Deqing Fang Changbo Fu Mengting Fu Lisheng Geng Karl Giboni Linhui Gu Xuyuan Guo Chencheng Han Ke Han Changda He Jinrong He Di Huang Yanlin Huang Ruquan Hou Xiangdong Ji Yonglin Ju Chenxiang Li Mingchuan Li Shu Li Shuaijie Li Qing Lin Jianglai Liu Xiaoying Lu Lingyin Luo Wenbo Ma Yugang Ma Yajun Mao Yue Meng Xuyang Ning Ningchun Qi Zhicheng Qian Xiangxiang Ren nasir shaheed Changsong Shang Lin Si Wenliang Sun Andi Tan Yi Tao Anqing Wang Meng Wang Shaobo Wang Siguang Wang Wei Wang Xiuli Wang Zhou Wang Mengmeng Wu Weihao Wu Jingkai Xia Mengjiao Xiao Xiang Xiao Pengwei Xie Binbin Yan Xiyu Yan Jijun Yang Yong Yang Chunxu Yu Jumin Yuan Ying Yuan Dan Zhang Minzhen Zhang Peng Zhang Tao Zhang Li Zhao Qibin Zheng Jifang Zhou Ning Zhou Xiaopeng Zhou Yong Zhou School of Physics and Astronomy Shanghai Jiao Tong UniversityKey Laboratory for Particle Astrophysics and Cosmology(MoE)Shanghai Key Laboratory for Particle Physics and CosmologyShanghai 200240China School of Physics Beihang UniversityBeijing 102206China Key Laboratory of Nuclear Physics and Ion-beam Application(MOE) Institute of Modern PhysicsFudan UniversityShanghai 200433China Shanghai Jiao Tong University Sichuan Research Institute Chengdu 610213China Yalong River Hydropower Development Company Ltd.288 Shuanglin RoadChengdu 610051China School of Physics Sun Yat-Sen UniversityGuangzhou 510275China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary SciencShandong UniversityQingdao 266237China Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong UniversityQingdao 266237China Tsung-Dao Lee Institute Shanghai Jiao Tong UniversityShanghai200240China School of Physics Nankai UniversityTianjin 300071China School of Physics Peking UniversityBeijing 100871China Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang UniversityBeijing102206China School of Physics and Microelectronics Zhengzhou UniversityZhengzhouHenan 450001China School of Medical Instrument and Food Engineering University of Shanghai for Science and TechnologyShanghai 200093China Department of Physics University of MarylandCollege ParkMaryland 20742USA School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of ChinaHefei 230026China Department of Modern Physics University of Science and Technology of ChinaHefei 230026China SJTU Paris Elite Institute of Technology Shanghai Jiao Tong UniversityShanghai200240China

Neutron-induced nuclear recoil background is critical to dark matter searches in the PandaX-4T liquid xenon *** this study,we investigate the features of neutron background in liquid xenon and evaluate its contribution in single scattering nuclear recoil events using three *** first method is fully based on Monte Carlo *** last two are data-driven methods that also use multiple scattering signals and high energy signals in the *** the PandaX-4T commissioning data with an exposure of 0.63 tonne-year,all these methods give a consistent result,i.e.,there are 1.15±0.57 neutron-induced backgrounds in the dark matter signal region within an approximated nuclear recoil energy window between 5 and 100 keV.

关键词： dark matter neutron background multiple scattering high energy gamma

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