检索结果-内蒙古大学图书馆

Search for Solar Boosted Dark Matter Particles at the PandaX-4T Experiment

Physical Review Letters 2025年第16期134卷 161003-161003页

作者： Guofang Shen 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 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 Haipeng An Haoming Nie School of Physics Beihang University Beijing 102206 China 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 China 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 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 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 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

We present a novel constraint on light dark matter utilizing 1.54 metric ton/year of data acquired from the PandaX-4T dual-phase xenon time projection chamber. This constraint is derived through detecting electronic recoil signals resulting from the interaction with solar-enhanced dark matter flux. Low-mass dark matter particles, lighter than a few MeV/c2, can scatter with the thermal electrons in the Sun. Consequently, with higher kinetic energy, the boosted dark matter component becomes detectable via contact scattering with xenon electrons, resulting in a few keV energy deposition that exceeds the threshold of PandaX-4T. We calculate the expected recoil energy in PandaX-4T considering the Sun’s acceleration with heavy mediators and the detection capabilities of the xenon detector. The first experimental search results using the xenon detector yield the most stringent upper limits cross section of 3.51×10−39 cm2 at 0.08 MeV/c2 for a solar boosted dark matter mass ranging from 0.02 to 10 MeV/c2, achieving a 23-fold improvement compared with earlier experimental studies.

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Model and Analysis of the top of Atmosphere’s polarization Radiation Characteristics based on Ocean Scene 3

Model and Analysis of the top of Atmosphere’s Polarization ...

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3rd International Computing imaging Conference, CITA 2023

作者： Wu, Lingxia Zeng, Xianfang Wu, Yunzhi Huang, Qinchao Huang, Qiheng Army Academy of Artillery and Air Defense of PLA Hefei Anhui230031 China Anhui Provincial Key Laboratory of Polarization Imaging Detection Technology Hefei Anhui230031 China Anhui Water Conservancy Technical College China

ISBN: (纸本)9781510671409

In view of the problem of attenuation or polarization state change caused by atmospheric radiation transmission in the long-distance path transmission of target polarization information, the atmospheric polarization characteristics based on atmospheric vector radiative transmission are studied, and the polarization characteristic modeling is completed. First using rough sea surface Cox-Munk model and Fresnel reflection law to simulate the real sea surface radiation state, determine the environmental data needed for the simulation, then based on radiation transmission simulation tools analysis of atmospheric Rayleigh scattering and aerosol scattering influence on the polarization radiation state, finally with the sea surface radiation state coupling get atmospheric top polarization radiation state. In order to verify the correctness of the proposed modeling method, the modeling results of this method are compared with the data actually obtained by the polarization detector of DPC. The results show that the overall trend and consistency of the observed and simulated values are good. This method can effectively simulate the polarization characteristics of the sea atmosphere in sunny and cloudy weather, and provide good data support for the offshore polarization detection in sunny and cloudy weather conditions. © 2023 SPIE.

关键词： Surface waters

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High-accuracy source-independent radiometric calibration with low complexity for infrared photonic sensors

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Light(Science & Applications) 2021年第9期10卷 1714-1725页

作者： Qiang Guo Fuchun Chen Xiangyang Li Boyang Chen Xin Wang Guilin Chen Caiying Wei National Satellite Meteorological Center China Meteorological Administration100081BeijingChina Key Laboratory of Infrared System Detection&Imaging Technology Shanghai Institute of Technical PhysicsChinese Academy of Sciences200083ShanghaiChina Key Laboratory of Infrared Imaging Materials&Detectors Shanghai Institute of Technical PhysicsChinese Academy of Sciences200083ShanghaiChina

Radiometric calibration(RC)is an essential solution to guarantee measurements from infrared photonic sensors with certain accuracy,the main task of which is to determine the radiometric responsivity of sensor and usually be solved by comparing with some radiation source(i.e.,blackbody),called source-based RC(SBRC).In addition to the complexity in manufacture,the nonideal characteristics of an available source will inevitably introduce unexpected uncertainties to reduce the final calibration accuracy by around 0.2–0.5 K in ***,we propose an original source-independent RC(SIRC)principle based on modeling instead of comparing for SBRC,where the incident background radiation to detector,as a dominated factor influencing the responsivity characteristics of a photonic sensor,is modeled to implement RC for both two fundamental types(photoconductive and photovoltaic)of HgCdTe photonic *** SIRC merely requires the temperature information of main components of a sensor other than some complex source and its assembly,and provides a traceable way at lower uncertainty costs relative to the traditional *** SIRC is being implemented in Fengyun-2 satellites since 2019,which ensures a long-term stable service of Chinese geostationary meteorological satellites for the global observation system under the framework of World Meteorological ***,a 20-year-period traceable Fengyun-2 dataset to be recalibrated with SIRC will benefit the further climate applications.

关键词： source complexity calibration

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Adversarial Examples Generation Through Attacking the 1 × 1 Convolution Operator

Adversarial Examples Generation Through Attacking the 1 × 1...

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2022 International Conference on Blockchain technology and Information Security, ICBCTIS 2022

作者： Wang, Yang Cao, Tieyong Yang, Jibin Zheng, Yunfei Fang, Zheng Yang, Zhen Institute of Command-and-Control Engineering Army Engineering University of Pla Jiangsu Nanjing China The Army Artillery and Defense Academy of Pla Jiangsu Nanjing China The Key Laboratory of Polarization Imaging Detection Technology Anhui Hefei China

ISBN: (数字)9781665496919

ISBN: (纸本)9781665496919

Convolution neural networks (CNN) are vulnerable to adversarial attack, which brings security risks to the application of convolutional neural networks in reality. Adversarial attacks are usually done by adding subtle perturbations in images to fool models to output wrong results. In black-box conditions, the transferability of attack method is mostly focused to fool more model. To enhance the transferability of adversarial attack, we proposed an attack method against the commonly used 1× 1 convolution operator (1ConvA, 1× 1 Convolution Attack), which exists in many convolutional networks for improving the complexity of the model and the gradient flow. Experiments on many CNNs demonstrate 1ConvA can generate adversarial examples with better transferability. © 2022 IEEE.

关键词： Convolution

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Anomaly detection by polarization imagery fusion

Anomaly detection by polarization imagery fusion

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International Symposium on Optoelectronic technology and Application 2016(OTA 2016)——Conf.9 Hyperspectral Remote Sensing Applications

作者： XUN Li-na XUE Mo-gen WANG Feng Key Laboratory of Polarization Imaging Detection Technology in Anhui Province College of Electrical Engineering and Automation Anhui University

Remote sensing-based anomaly detection, in particular, is an important technology for commercial and military applications, where in most of these cases the target set includes manmade objects(e.g., m

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Super-twisting Sliding Mode Control Based on Electrostatic MEMS Micromirror Scanning

Super-twisting Sliding Mode Control Based on Electrostatic M...

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2023 International Conference on Non-Traditional Machining and Intelligent Manufacturing, NTMIM 2023

作者： Lei, Jue Wang, Chunyang Li, Fayuan Liu, Changjie Xi'An Technological University Xi'An Key Laboratory of Active Photoelectric Imaging Detection Technology Shaanxi Xi'an710021 China

In this paper, a Super-twisting sliding-mode control method based on a nonlinear interference observer is proposed for the external perturbation of MEMS micromirrors during beam scanning. Developing a physical model of electrostatic MEMS micromirror, the Super-twisting sliding-mode control algorithm based on nonlinear interference observer is applied to the electrostatically driven MEMS scanning micromirror with side electrodes, with the demonstration on stability of the control system by Lyapunov theory. The method effectively improves the anti-disturbance performance of the system. The simulation results show that the Super-twisting sliding mode control method based on nonlinear disturbance observer can effectively enhance the disturbance inhibition of the system. © Published under licence by IOP Publishing Ltd.

关键词： Sliding mode control

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Research of Non-mechanical Beam Scanning technology

Research of Non-mechanical Beam Scanning Technology

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2023 International Conference on Non-Traditional Machining and Intelligent Manufacturing, NTMIM 2023

作者： Ye, Wenyu Wang, Chunyang Lei, Jue Zhao, Jiaojiao Wei, Qinglong Xi'An Technological University Xi'An Key Laboratory of Active Photoelectric Imaging Detection Technology Shaanxi Xi'an710021 China

Laser beam scanning technology has been widely used in various fields such as LIDAR, photoelectric detection and space optical communication, etc. Mechanical scanning has problems such as inflexibility and low scanning rate. This paper introduces the basic principles of acoustic-optical scanning, electro-optical scanning, optical phased array and MEMS scanning, and analyses the advantages and disadvantages of several scanning methods and the main application scenarios, and finds that the current optical scanning technology is developing towards large scanning angle, high accuracy, fast response and miniaturization, among which the liquid crystal optical phased array and MEMS scanning technology are relatively mature. The scanning angle of the LCD optical phased array can reach ±10°, and the scanning angle of the MEMS can reach 6.6°∗4.4°, which has a broad development prospect. © Published under licence by IOP Publishing Ltd.

关键词： Optical radar

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A Sparsity Adaptive Greedy Iterative Algorithm for Compressed Sensing

A Sparsity Adaptive Greedy Iterative Algorithm for Compresse...

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第37届中国控制会议

作者： Li Wang Lina Xun Dexiang Zhang Yi Xia College of Electrical Engineering and Automation Anhui University Key Laboratory of Polarization Imaging Detection Technology in Anhui Province

Aiming at the problem of signal reconstruction with unknown sparsity in compressed sensing, an improved iterative greedy algorithm is proposed to signal reconstruction from low sampling rate. Firstly, a sparsity estimation strategy is used to estimate the sparsity and the true support set of target signal, and then the residual is initialized with the estimated value. In order to optimize the estimated value, it is necessary to determine the direction of the iteration before the iteration begins. The proposed algorithm is associated with the ideas of adaptive, backtracking and greedy choice to iteratively refine. The simulation results show that the proposed algorithm performs better than that of OMP, CoSaMP and SAMP algorithms for both one-dimensional signal and two-dimensional image signal, and the algorithm has better practical application value.

关键词： Compressed sensing sparsity estimation reconstruction algorithm

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The algorithm of image fusion for infrared polarization based on contourlet transform and teager operator

The algorithm of image fusion for infrared polarization base...

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International Conference on Frontiers in International Conference on Frontiers in Terahertz technology and Applications, and the International Symposium on Surface Topography and Optical Microscopy

作者： Guo, Ruidong Zhang, Jingjing Wang, Feng Yuan, Hongwu Xun, Lina Yan, Qing Dong, Wen Hong, Qi School of Electrical Engineering Automation of Anhui University Hefei230601 China Key Laboratory of Polarization Iamging Detection Technology Hefei230031 China Center of Information Support and Assurance Technology Hefei230601 China

ISBN: (纸本)9781628418804

This paper puts forward a infrared polarization image fusion algorithm by using Contourlet transform and 2-D Teager operator. First of all, based on Contourlet transform , infrared polarization image has been decomposed into low frequency and high frequency . Using Teager operator to process the high frequency sub-bands, and then select by different regional characteristics based on maximum contrast ratio. As for the low frequency sub-bands, judged by energy, selects the weighted weights to fuse the image . At last, we get the experimental results and our analysis. The results of the experiment show that compared with the traditional, the algorithm in this paper can give better characterization of polarization remote sensing image edge and texture information, has a higher resolution, and also improves the visual effect of the polarized remote sensing image. © 2015 SPIE.

关键词： Image enhancement

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Single hazy image restoration based on fields of experts model and guided filtering

Single hazy image restoration based on fields of experts mod...

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IEEE International Conference on Cyber technology in Automation, Control, and Intelligent Systems

作者： Pucheng Zhou Mogen Xue Xiaoli Zhao Imaging Detection Technology Anhui Province Key Laboratory of Polarization Hefei P. R. China

A kind of haze removal algorithm is proposed, so as to improve the visibility of degraded image with only single image. Firstly, the raw atmospheric transmission map is obtained using the dark channel prior. Then, Fields of Experts model with guided filtering is integrated to get the priors from the degraded image, so as to amend the raw atmosphere transmission map. Finally, the scene albedo is restored based on the atmosphere scattering model. Results on a variety of outdoor haze images show the feasibility and validity of our algorithm. Moreover, a comparative study is also proposed with several other state-of-the-art algorithms demonstrate that our algorithm has similar or even better haze removal results.

关键词： Atmospheric modeling Mathematical model Image restoration Filtering Image color analysis Computational modeling

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