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

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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Search for Cosmic-Ray Boosted Sub-MeV Dark-Matter–Electron Scattering in PandaX-4T

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Physical Review Letters 2024年第10期133卷 101805页

作者： Xiaofeng Shang Abdusalam Abdukerim Zihao Bo Wei Chen Xun Chen Yunhua Chen Chen Cheng Zhaokan Cheng Xiangyi Cui Yingjie Fan Deqing Fang Lisheng Geng Karl Giboni Xuyuan Guo Chencheng Han Ke Han Changda He Jinrong He Di Huang Junting Huang Zhou Huang Ruquan Hou Yu Hou Xiangdong Ji Xiangpan Ji Yonglin Ju Chenxiang Li Jiafu Li Mingchuan Li Shuaijie Li Tao Li Qing Lin Jianglai Liu Congcong Lu Xiaoying Lu Lingyin Luo Yunyang Luo Wenbo Ma Yugang Ma Yajun Mao Yue Meng Xuyang Ning Binyu Pang Ningchun Qi Zhicheng Qian Xiangxiang Ren Nasir Shaheed Xiyuan Shao Guofang Shen Manbin Shen Lin Si Wenliang Sun Yi Tao Anqing Wang Meng Wang Qiuhong Wang Shaobo Wang Siguang Wang Wei Wang Xiuli Wang Xu Wang Zhou Wang Yuehuan Wei Mengmeng Wu Weihao Wu Yuan Wu Mengjiao Xiao Xiang Xiao Kaizhi Xiong Binbin Yan Xiyu Yan Yong Yang Chunxu Yu Ying Yuan Zhe Yuan Youhui Yun Xinning Zeng Minzhen Zhang Peng Zhang Shibo Zhang Shu Zhang Tao Zhang Wei Zhang Yang Zhang Yingxin Zhang Yuanyuan Zhang Li Zhao Jifang Zhou Ning Zhou Xiaopeng Zhou Yubo Zhou Zhizhen Zhou Shao-Feng Ge Chen Xia School of Physics and Astronomy New Cornerstone Science Laboratory Tsung-Dao Lee Institute Shanghai Jiao Tong University Sichuan Research Institute Chengdu 610213 China Jinping Deep Underground Frontier Science and Dark Matter Key Laboratory of Sichuan Province Liangshan 615000 China Yalong River Hydropower Development Company Ltd. 288 Shuanglin Road Chengdu 610051 China School of Physics Sun Yat-Sen University Guangzhou 510275 China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen University Zhuhai 519082 China Department of Physics Yantai University Yantai 264005 China Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) Institute of Modern Physics Fudan University Shanghai 200433 China School of Physics Beihang University Beijing 102206 China Peng Huanwu Collaborative Center for Research and Education Beihang University Beijing 100191 China International Research Center for Nuclei and Particles in the Cosmos and Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University Beijing 100191 China Southern Center for Nuclear-Science Theory (SCNT) Institute of Modern Physics Chinese Academy of Sciences Huizhou 516000 China School of Mechanical Engineering Department of Physics University of Maryland College Park Maryland 20742 USA School of Physics Nankai University Tianjin 300071 China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei 230026 China Department of Modern Physics University of Science and Technology of China Hefei 230026 China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary Science Shandong University Qingdao 266237 Shandong China Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong University Qingdao 266237 Shandong China School of Physics Peking University Beijing 100871 China SJTU Paris Elite Institute of Technology School of Physic

We report the first search for the elastic scatterings between cosmic-ray boosted sub-MeV dark matter (DM) and electrons in the PandaX-4T liquid xenon experiment. Sub-MeV DM particles can be accelerated by scattering with electrons in the cosmic rays and produce detectable electron recoil signals in the detector. Using the commissioning data from PandaX-4T of 0.63 tonne·year exposure, we set new constraints on DM-electron scattering cross sections for DM masses ranging from 10 eV/c2 to 3 keV/c2.

关键词： Dark matter Particle dark matter Dark matter detectors

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Hybrid RAG-empowered Multi-modal LLM for Secure Data Management in Internet of Medical Things: A Diffusion-based Contract Approach

arXiv

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arXiv 2024年

作者： Su, Cheng Wen, Jinbo Kang, Jiawen Wang, Yonghua Su, Yuanjia Pan, Hudan Zhong, Zishao Hossain, M. Shamim School of Automation The GuangdongHongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangdong University of Technology Guangzhou510006 China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing210016 China School of Automation The Guangdong Basic Research Center of Excellence for Ecological Security and Green Development Key Laboratory for City Cluster Environmental Safety Green Development The Ministry of Education Guangdong University of Technology Guangzhou510006 China School of Automation The Key Laboratory of Intelligent Detection and IoT in Manufacturing Ministry of Education Guangdong University of Technology Guangzhou510006 China School of Automation Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education Guangdong University of Technology Guangzhou510006 China Guangzhou University of Traditional Chinese Medicine State Key Laboratory of Traditional Chinese Medicine Syndrome The Second Affiliated Hospital of Guangzhou University of Chinese Medicine Chinese Medicine Guangdong Laboratory Hengqin 519000 China Second Affiliated Hospital of Guangzhou University of Chinese Medicine Chinese Medicine Guangdong Laboratory Hengqin 519000 China Department of Software Engineering College of Computer and Information Sciences King Saud University Riyadh12372 Saudi Arabia

Secure data management and effective data sharing have become paramount in the rapidly evolving healthcare landscape, especially with the growing integration of the Internet of Medical Things (IoMT). The rise of generative artificial intelligence has further elevated Multi-modal Large Language Models (MLLMs) as essential tools for managing and optimizing healthcare data in IoMT. MLLMs can support multi-modal inputs and generate diverse types of content by leveraging large-scale training on vast amounts of multi-modal data. However, critical challenges persist in developing medical MLLMs, including security and freshness issues of healthcare data, affecting the output quality of MLLMs. To this end, in this paper, we propose a hybrid Retrieval-Augmented Generation (RAG)-empowered medical MLLM framework for healthcare data management. This framework leverages a hierarchical cross-chain architecture to facilitate secure data training. Moreover, it enhances the output quality of MLLMs through hybrid RAG, which employs multi-modal metrics to filter various unimodal RAG results and incorporates these retrieval results as additional inputs to MLLMs. Additionally, we employ age of information to indirectly evaluate the data freshness impact of MLLMs and utilize contract theory to incentivize healthcare data holders to share their fresh data, mitigating information asymmetry during data sharing. Finally, we utilize a generative diffusion model-based deep reinforcement learning algorithm to identify the optimal contract for efficient data sharing. Numerical results demonstrate the effectiveness of the proposed schemes, which achieve secure and efficient healthcare data management. Copyright © 2024, The Authors. All rights reserved.

关键词： Information management

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

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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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Evaluation of environmental radiation monitoring in nuclear Serpong facility area

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AIP Conference Proceedings 2024年第1期2967卷

作者： Jupiter Sitorus Pane Muhammad Budi Setiawan Wahid Lufhti Adhika Enggar Pamungkas Anik Purwaningsih Euis Etty Alhakim Ihda Husnayani I. Putu Susila Subiharto Subiharto Fahmi Alfa Muslimu Arif Yuniarto Moh Cecep Cepi Hikmat Heni Susiati Dyah Sulistyani Rahayu Mohamad Sukron Husein Center for Nuclear Reactor Technology and Safety National Research and Innovation Agency Kawasan Puspiptek Gd.80 Serpong Tangerang Selatan Indonesia 15310 Center for Radiation Detection Technology and Nuclear Analysis National Research and Innovation Agency Kawasan Puspiptek Gd.80 Serpong Tangerang Selatan Indonesia 15310 Directorate of Nuclear Facility Development Deputy for Research and Innovation Infrastructure National Research and Innovation Agency Kawasan Puspiptek Gd.31 Serpong Tangerang Selatan Indonesia 15310 Directorate of Development Policy for Environment Natural Resources Maritime and Nuclear Power National Research and Innovation Agency Jl Thamrin No. 8 Jakarta Indonesia 10340

Monitoring of environmental radiation due to the presence and operation of nuclear facilities in a certain area is an absolute requirement that must be fulfilled according to Government Regulation No. 2/2014 for reactor and non-reactor facilities and No. 29/2008 for the use of ionizing radiation. This evaluation was carried out to support the effectiveness of the Environmental Radiation Monitoring at Serpong Nuclear Facility Area (SNFA) as well as part of the national research program on radiation monitoring systems for safety and security development. As the model, Serpong Nuclear Facility Area contains six nuclear facilities that contribute to SNFA Environment Radiation. Each facility assumed contributes to the radiation measurement following Gaussian Atmospheric Dispersion Model. By evaluating source terms from six nuclear facilities, formula of Gaussian Dispersion, and meteorology data, we can estimate the model ambient concentration and doses as 0.04-0.025 (μSv/h). This model result, then, was compared with installed radiation monitoring data as well as mobile measuring data, and the result shows the consistency of the radiation dose of measurement of 0.01 – 0.07 µSv/h when the Cs-137 was assumed neglected. The t-test of the operation and shutdown measurement data showed no significant difference of data measurement during the shutdown and operation phase of the reactor. It means that the impact of radiation release during normal operation and shutdown is not significant. In general, the result shows that the simple atmospheric dispersion model is suitable model to estimate ambient concentration and ambient dose at the location where the radiation monitoring station is installed.

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Stable Optical Beats in Laser Chaos for THz Wave

Stable Optical Beats in Laser Chaos for THz Wave

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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Fumiyoshi Kuwashima Mona Jarrahi Semih Cakmakyapan Osamu Morikawa Takuya Shirao Kazuyuki Iwao Kazuyoshi Kurihara Hideaki Kitahara Takashi Furuya Kenji Wada Makoto Nakajima And Masahiko Tani Department of Electrical and Electronic Engineering Fukui University of Technology Fukui Japan Electrical and Computer Engineering Department University of California Los Angeles Los Angeles CA USA Chair of Liberal Arts Japan Coast Guard Academy Hiroshima Japan School of Education University. of Fukui Fukui Japan Research Center for Development of Far-Infrared Region University of Fukui Fukui Japan Department of Physics and Electronics Osaka Prefecture University Osaka Japan Institute of Laser engineering Osaka Univ. Osaka Japan

Stability of optical beats in a chaotically oscillating laser is compared to that of a free-running continuous-wave laser using a highly efficient plasmonic photomixer. Using a chaotically oscillating laser diode, stable optical beats are observed over an operation current range of 60-90 mA. And stability of optical beats near the laser threshold level in a chaotically oscillating laser is also evaluated. The high stability of chaotically oscillating lasers makes these lasers promising candidates for optical pump sources in terahertz time-domain spectroscopy systems.

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Quantum spin fluctuations and hydrogen bond network in the antiferromagnetic natural mineral henmilite

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Physical Review Materials 2021年第10期5卷 104405-104405页

作者： Hajime Yamamoto Terutoshi Sakakura Harald O. Jeschke Noriyuki Kabeya Kanata Hayashi Yuya Ishikawa Yutaka Fujii Shunji Kishimoto Hajime Sagayama Kei Shigematsu Masaki Azuma Akira Ochiai Yukio Noda Hiroyuki Kimura Institute of Multidisciplinary Research for Advanced Materials Tohoku University Katahira 2-1-1 Aoba Sendai 980-8577 Japan Research Institute for Interdisciplinary Science Okayama University Okayama 700-8530 Japan Department of Physics Tohoku University Aoba 6-3 Aoba Sendai 980-8577 Japan Research Center for Development of Far-Infrared Region University of Fukui Bunkyo 3-9-1 Fukui 910-8507 Japan Photon Factory and Condensed Matter Research Center Institute of Materials Structure Science High Energy Accelerator Research Organization Oho 1-1 Tsukuba 305-0801 Japan Laboratory for Materials and Structures Tokyo Institute of Technology Nagatsuta 4259 Midori Yokohama 226-8503 Japan Kanagawa Institute of Industrial Science and Technology (KISTEC) Ebina 243-0435 Japan

Henmilite {Ca2Cu(OH)4[B(OH)4]2} is a blue calcium copper borate mineral found only in the Fuka mine, Okayama Prefecture, Japan. Crystal structure refinement, magnetic and specific heat measurements, and density functional theory (DFT) calculations are performed to clarify its magnetic properties. Synchrotron x-ray diffraction experiments reveal that the hydrogen-bonded chains are arranged in an antiferroelectric manner, doubling the unit cell along the a axis. An antiferromagnetic transition is observed at 0.2 K at zero magnetic field. Furthermore, a dome-shaped antiferromagnetic ordering region exists in the temperature–magnetic-field phase diagram, indicating the presence of quantum spin fluctuations. The obtained crystal structure in combination with DFT calculations suggests that the system has a coupled two-leg ladder magnetic lattice, explaining the very low ordering temperature.

关键词： Antiferromagnetism Crystal structure Exchange interaction Magnetic phase transitions 2-dimensional systems Antiferromagnets Single crystal materials Crystal structures Crystallography DC susceptibility measurements Density functional theory Magnetization measurements Specific heat measurements X-ray diffraction

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First Indication of Solar B8 Neutrinos through Coherent Elastic Neutrino-Nucleus Scattering in PandaX-4T

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Physical Review Letters 2024年第19期133卷 191001页

作者： Zihao Bo Wei Chen Xun Chen Yunhua Chen Zhaokan Cheng Xiangyi Cui Yingjie Fan Deqing Fang Zhixing Gao Lisheng Geng Karl Giboni Xunan Guo Xuyuan Guo Zichao Guo Chencheng Han Ke Han Changda He Jinrong He Di Huang Houqi Huang Junting Huang Ruquan Hou Yu Hou Xiangdong Ji Xiangpan Ji Yonglin Ju Chenxiang Li Jiafu Li Mingchuan Li Shuaijie Li Tao Li Zhiyuan Li Qing Lin Jianglai Liu Congcong Lu Xiaoying Lu Lingyin Luo Yunyang Luo Wenbo Ma Yugang Ma Yajun Mao Yue Meng Xuyang Ning Binyu Pang Ningchun Qi Zhicheng Qian Xiangxiang Ren Dong Shan Xiaofeng Shang Xiyuan Shao Guofang Shen Manbin Shen Wenliang Sun Yi Tao Anqing Wang Guanbo Wang Hao Wang Jiamin Wang Lei Wang Meng Wang Qiuhong Wang Shaobo Wang Siguang Wang Wei Wang Xiuli Wang Xu Wang Zhou Wang Yuehuan Wei Weihao Wu Yuan Wu Mengjiao Xiao Xiang Xiao Kaizhi Xiong Yifan Xu Shunyu Yao Binbin Yan Xiyu Yan Yong Yang Peihua Ye Chunxu Yu Ying Yuan Zhe Yuan Youhui Yun Xinning Zeng Minzhen Zhang Peng Zhang Shibo Zhang Shu Zhang Tao Zhang Wei Zhang Yang Zhang Yingxin Zhang Yuanyuan Zhang Li Zhao Jifang Zhou Jiaxu Zhou Jiayi Zhou Ning Zhou Xiaopeng Zhou Yubo Zhou Zhizhen Zhou 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 200240 China New Cornerstone Science Laboratory Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai 201210 China Shanghai Jiao Tong University Sichuan Research Institute Chengdu 610213 China Jinping Deep Underground Frontier Science and Dark Matter Key Laboratory of Sichuan Province Yalong River Hydropower Development Company Ltd. 288 Shuanglin Road Chengdu 610051 China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen University Zhuhai 519082 China Department of Physics Yantai University Yantai 264005 China Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) Institute of Modern Physics Fudan University Shanghai 200433 China School of Physics Beihang University Beijing 102206 China Peng Huanwu Collaborative Center for Research and Education Beihang University Beijing 100191 China International Research Center for Nuclei and Particles in the Cosmos & Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University Beijing 100191 China Southern Center for Nuclear-Science Theory (SCNT) Institute of Modern Physics Chinese Academy of Sciences Huizhou 516000 China SJTU Paris Elite Institute of Technology Shanghai Jiao Tong University Shanghai 200240 China School of Mechanical Engineering Shanghai Jiao Tong University Shanghai 200240 China Department of Physics University of Maryland College Park Maryland 20742 USA School of Physics Nankai University Tianjin 300071 China School of Physics Sun Yat-Sen University Guangzhou 510275 China State Key Laboratory of Particle Detection and Electronics Department of Modern Physics Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary Science Shandong University Qingdao 266237 China Key Laboratory of Particle Physics and Particle

The PandaX-4T liquid xenon detector at the China Jinping Underground Laboratory is used to measure the solar B8 neutrino flux by detecting neutrinos through coherent scattering with xenon nuclei. Data samples requiring the coincidence of scintillation and ionization signals (paired), as well as unpaired ionization-only signals (US2), are selected with energy threshold of approximately 1.1 keV (0.33 keV) nuclear recoil energy. Combining the commissioning run and the first science run of PandaX-4T, a total exposure of 1.20 and 1.04 tonne·year are collected for the paired and US2, respectively. After unblinding, 3 and 332 events are observed with an expectation of 2.8±0.5 and 251±32 background events, for the paired and US2 data, respectively. A combined analysis yields a best-fit B8 neutrino signal of 3.5 (75) events from the paired (US2) data sample, with ∼37% uncertainty, and the background-only hypothesis is disfavored at 2.64σ significance. This gives a solar B8 neutrino flux of (8.4±3.1)×106 cm−2 s−1, consistent with the standard solar model prediction. It is also the first indication of solar B8 neutrino “fog” in a dark matter direct detection experiment.

关键词： Nucleus-neutrino interactions Particle dark matter Solar neutrinos Neutrino detection Time-projection chambers

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Inversion of Rayleigh Wave Dispersion Curves via Long Short-Term Memory Combined with Particle Swarm Optimization

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Computational intelligence and neuroscience 2022年第1期2022卷 2640929页

作者： Yu Fu Angen Yang Zhenan Yao Yuchen Liu Hongxing Li Haonan Chen Xiangteng Wang Engineering Research Center for Seismic Disaster Prevention and Engineering Geological Disaster Detection of Jiangxi Province (East China University of Technology) Nanchang 330013 China. Qingdao National Laboratory for Marine Science and Technology Development Center Qingdao 266237 Shandong Providence China.

An essential step in surface wave exploration is the inversion of dispersion curves. By inverting dispersion curves, we can effectively establish the shear-wave velocity model and obtain reliable subsurface stratigraphic information. The inversion of dispersion curves is an inversion problem with multiple parameters and multiple poles, and obtaining a high precision solution is difficult. Among the methods of inversion of dispersion curves, local search methods are prone to fall into local extremes, and global search methods such as particle swarm optimization (PSO) and genetic algorithm (GA) present the disadvantages of slow convergence speed and low precision. Deep learning models with strong nonlinear mapping capability can effectively solve nonlinear problems. Therefore, we propose a method called PSO-optimized long short-term memory (LSTM) network (PSO-LSTM) to invert the dispersion curves in order to improve the effect of inversion of dispersion curves. The method is based on the LSTM network, and PSO is used to optimize the LSTM network structure and other parameters that need to be given manually to improve the prediction of the network. Two theoretical geological models are used in the paper: Model and Model to test the PSO-LSTM. The tests include the noisy data test and noise-free data test. Model was tested without noise, and Model was tested with noise. In addition, PSO and LSTM were tested on model to compare the performance of PSO-LSTM. In Model , the maximum relative errors of PSO and LSTM are 20.76% and 5.85%, respectively, and the maximum standard deviations of PSO and LSTM are 57.37 and 1.97, respectively. For PSO-LSTM, the maximum relative errors of Model and Model in the inverse results are 2.05% and 2.09%, and the maximum standard deviations of Model and Model in the inverse results are 1.23 and 3.87, respectively. The test results of Model show that the inversion performance of PSO-LSTM is better than those of LSTM and PSO, and the pe

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Stable optical beats in laser chaos for THz wave

Stable optical beats in laser chaos for THz wave

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2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2022

作者： Kuwashima, Fumiyoshi Jarrahi, Mona Cakmakyapan, Semih Morikawa, Osamu Shirao, Takuya Iwao, Kazuyuki Kurihara, Kazuyoshi Kitahara, Hideaki Furuya, Takashi Wada, Kenji Nakajima, Makoto Tani, And Masahiko Department of Electrical and Electronic Engineering Fukui University of Technology 3-6-1 Gakuen Fukui910-8505 Japan Electrical and Computer Engineering Department University of California Los Angeles 66-147E Engineering IV 420 Westwood Plaza Los AngelesCA90095 United States Japan Coast Guard Academy Wakabacho 5-1 Kure Hiroshima737-8512 Japan School of Education. University. of Fukui 3-9-1 Bunkyo Fukui910-8507 Japan Research Center for Development of Far-Infrared Region University of Fukui 3-9-1 Bunkyo Fukui910-8507 Japan Department of Physics and Electronics Osaka Prefecture University 1-1 Gakuen-cho Naka-ku Sakai Osaka599-8531 Japan Institute of Laser Engineering Osaka Univ. 2-6 Yamadaoka Osaka Suita565-0871 Japan

ISBN: (纸本)9798350350012

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