检索结果-内蒙古大学图书馆

arXiv 2023年

作者： Zhang, Z.Y. Yang, L.T. Yue, Q. Kang, K.J. Li, Y.J. An, H.P. Greeshma, C. Chang, J.P. Chen, Y.H. Cheng, J.P. Dai, W.H. Deng, Z. Fang, C.H. Geng, X.P. Gong, H. Guo, Q.J. Guo, T. Guo, X.Y. He, L. He, S.M. Hu, J.W. Huang, H.X. Huang, T.C. Jiang, L. Karmakar, S. Li, H.B. Li, H.Y. Li, J.M. Li, J. Li, Q.Y. Li, R.M.J. Li, X.Q. Li, Y.L. Liang, Y.F. Liao, B. Lin, F.K. Lin, S.T. Liu, J.X. Liu, S.K. Liu, Y.D. Liu, Y. Liu, Y.Y. Ma, H. Mao, Y.C. Nie, Q.Y. Ning, J.H. Pan, H. Qi, N.C. Ren, J. Ruan, X.C. Singh, M.K. Sun, T.X. Tang, C.J. Tian, Y. Wang, G.F. Wang, J.Z. Wang, L. Wang, Q. Wang, Y.F. Wang, Y.X. Wong, H.T. Wu, S.Y. Wu, Y.C. Xing, H.Y. Xu, R. Xu, Y. Xue, T. Yan, Y.L. Yi, N. Yu, C.X. Yu, H.J. Yue, J.F. Zeng, M. Zeng, Z. Zhang, B.T. Zhang, F.S. Zhang, L. Zhang, Z.H. Zhao, J.Z. Zhao, K.K. Zhao, M.G. Zhou, J.F. Zhou, Z.Y. Zhu, J.J. Department of Engineering Physics Tsinghua University Beijing100084 China Department of Physics Tsinghua University Beijing100084 China Institute of Physics Academia Sinica Taipei11529 Taiwan NUCTECH Company Beijing100084 China YaLong River Hydropower Development Company Chengdu610051 China College of Nuclear Science and Technology Beijing Normal University Beijing100875 China College of Physics Sichuan University Chengdu610065 China School of Physics Peking University Beijing100871 China Department of Nuclear Physics China Institute of Atomic Energy Beijing102413 China Sino-French Institute of Nuclear and Technology Sun Yat-sen University Zhuhai519082 China School of Physics Nankai University Tianjin300071 China Department of Physics Banaras Hindu University Varanasi221005 India Department of Physics Beijing Normal University Beijing100875 China

Recently a dark matter-electron (DM-electron) paradigm has drawn much attention. Models beyond the standard halo model describing DM accelerated by high energy celestial bodies are under intense examination as well. In this Letter, a velocity components analysis (VCA) method dedicated to swift analysis of accelerated DM-electron interactions via semiconductor detectors is proposed and the first HPGe detector-based accelerated DM-electron analysis is realized. Utilizing the method, the first germanium based constraint on sub-GeV solar reflected DM-electron interaction is presented with the 205.4 kg·day dataset from the CDEX-10 experiment. In the heavy mediator scenario, our result excels in the mass range of 5−15 keV/c2, achieving a 3 orders of magnitude improvement comparing with previous semiconductor experiments. In the light mediator scenario, the strongest laboratory constraint for DM lighter than 0.1 MeV/c2 is presented. The result proves the feasibility and demonstrates the vast potential of the VCA technique in future accelerated DM-electron analyses with semiconductor detectors. Copyright © 2023, The Authors. All rights reserved.

关键词： Electrons

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Searching for 76Ge neutrinoless double beta decay with the CDEX-1B experiment

arXiv

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arXiv 2023年

作者： Zhang, B.T. Wang, J.Z. Yang, L.T. Yue, Q. Kang, K.J. Li, Y.J. An, H.P. Greeshma, C. Chang, J.P. Chen, Y.H. Cheng, J.P. Dai, W.H. Deng, Z. Fang, C.H. Geng, X.P. Gong, H. Guo, Q.J. Guo, X.Y. He, L. He, S.M. Hu, J.W. Huang, H.X. Huang, T.C. Jia, H.T. Jiang, X. Karmakar, S. Li, H.B. Li, J.M. Li, J. Li, Q.Y. Li, R.M.J. Li, X.Q. Li, Y.L. Liang, Y.F. Liao, B. Lin, F.K. Lin, S.T. Liu, J.X. Liu, S.K. Liu, Y.D. Liu, Y. Liu, Y.Y. Liu, Z.Z. Ma, H. Mao, Y.C. Nie, Q.Y. Ning, J.H. Pan, H. Qi, N.C. Ren, J. Ruan, X.C. She, Z. Singh, M.K. Sun, T.X. Tang, C.J. Tang, W.Y. Tian, Y. Wang, G.F. Wang, L. Wang, Q. Wang, Y.F. Wang, Y.X. Wong, H.T. Wu, S.Y. Wu, Y.C. Xing, H.Y. Xu, R. Xu, Y. Xue, T. Yan, Y.L. Yi, N. Yu, C.X. Yu, H.J. Yue, J.F. Zeng, M. Zeng, Z. Zhang, F.S. Zhang, L. Zhang, Z.H. Zhang, Z.Y. Zhao, K.K. Zhao, M.G. Zhou, J.F. Zhou, Z.Y. Zhu, J.J. Key Laboratory of Particle and Radiation Imaging Ministry of Education Department of Engineering Physics Tsinghua University Beijing100084 China Department of Physics Tsinghua University Beijing100084 China Institute of Physics Academia Sinica Taipei11529 Taiwan NUCTECH Company Beijing100084 China YaLong River Hydropower Development Company Chengdu610051 China College of Nuclear Science and Technology Beijing Normal University Beijing100875 China College of Physics Sichuan University Chengdu610065 China School of Physics Peking University Beijing100871 China Department of Nuclear Physics China Institute of Atomic Energy Beijing102413 China Sino-French Institute of Nuclear and Technology Sun Yat-sen University Zhuhai519082 China School of Physics Nankai University Tianjin300071 China Department of Physics Banaras Hindu University Varanasi221005 India Department of Physics Beijing Normal University Beijing100875 China

We operated a p-type point contact high purity germanium (PPCGe) detector (CDEX-1B, 1.008 kg) in the China Jinping Underground Laboratory (CJPL) for 500.3 days to search for neutrinoless double beta (0νββ) decay of 76Ge. A total of 504.3 kg day effective exposure data was accumulated. The anti-coincidence and the multi/single-site event (MSE/SSE) discrimination methods were used to suppress the background in the energy region of interest (ROI, 1989-2089 keV for this work) with a factor of 23. A background level of 0.33 counts/(keV kg yr) was realized. The lower limit on the half life of 76Ge 0νββ decay was constrained as T0ν 1/2 > 1.0×1023 yr (90% C.L.), corresponding to the upper limits on the effective Majorana neutrino mass: (mββ) Copyright © 2023, The Authors. All rights reserved.

关键词： Neutrons

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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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Lightweight Environmental Sound Recognition Using Convolutional Neural Networks

Lightweight Environmental Sound Recognition Using Convolutio...

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UK/ China Emerging Technologies (UCET)

作者： Liwen Tang Zhouyang Du Yawen Wang Zhuoling Xiao Jiazhen Lin Xiaoyan Zhang Glasgow College UESTC University of Electronic Science and Technology of China Chengdu Sichuan China State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment China Nuclear Power Engineering Co. Ltd. Shenzhen China

ISBN: (纸本)9781665495769

Environmental sound recognition is important in computer audition. However, the existing recognition algorithms still have high computing requirement and low recognition accuracy, especially when sound enhancement is employed. In this paper we present enhancement and classification algorithms to reduce the computation cost and increase the classification accuracy at the same time. We first use the bottleneck module into a convolutional neural network (CNN) to reduce recognition computation, and apply squeeze-and-excitation (SE) attention mechanism to increase the accuracy. Then by introducing the direct connection structure of Encoder-Decoder and the noise vector, we build the sound enhancement algorithm based on Generative Adversarial Network (GAN) to improve the accuracy and robustness. The proposed model has been tested in ten different environmental sounds, demonstrating the effectiveness of reducing the computation by up to 76.03% and increasing the accuracy by 2.4% as well.

关键词： Costs Convolution Computational modeling Generative adversarial networks Brain modeling Robustness Classification algorithms

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Implementation of digital constant fraction timing based on field programmable gate array

引用

Journal of Physics: Conference Series 2021年第1期1941卷

作者： Wenwan Ding Chuanhao Hu Yang Cao Xuegang Li Tao Yue Kunling Zhao Song Zhang Wenbing Zhang Yi Gu College of Nuclear Technology and Automation Engineering Chengdu University of Technology China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province China

Compared with analog circuits, FPGA(Field Programmable Gate Array) had the advantages of redevelopment and low cost. Compared with MCU, FPGA used hardware description language to construct the circuit, which had the advantages of simple structure and fast parallel operation speed. In this paper, the simulation of digital Constant Fraction Timing can be realized based on FPGA, and the feasibility and accuracy of the design can be proved by using the simulation waveform of Modelsim and the waveform can be captured by signaltap. Modelsim can verify the correctness of the timing between modules, and signaltap can verify the actual running effect of the program on the board.

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An LQG Optimal Linear Controller for Fin Stabilizer System of Marine Vessels

An LQG Optimal Linear Controller for Fin Stabilizer System o...

引用

2020 International Conference on System Science and engineering, ICSSE 2020

作者： Nguyen, QuangDuy Li, Tieshan Yu, Renhai Shan, Qihe Wu, Yue Ning, Jun Dalian Maritime University Navigation College Dalian China Faculty of Navigation Vietnam Maritime University Haiphong Viet Nam School of Automation Engineering University of Electronic Science and Technology of China Chengdu Sichuan China

ISBN: (纸本)9781728159607

When sailing at sea, the ship's rolling motion will greatly affect the safety of the ship and the cargo, as well as the health of the crew. As a common means for roll reduction, active fins are usually installed on ships, and the roll reduction efficiency of these fins depends primarily on the controller. In our work, a Linear Quadratic Gaussian (LQG) optimal controller is proposed for the ship linear fin stabilizer system. Specifically, this LQG control method is combined by the linear quadratic regulator (LQR) method and the linear quadratic estimator (LQE) method, the latter of which is also known as the Kalman filter. Therefore, the separation principle is used in this paper to solve the roll reduction problem of ships, namely the LQG controller is derived by solving the predestined optimal control problem and the optimal state estimation problem. Finally, the stability and efficiency of the proposed LQG controller is validated by conducting contrast simulation with the LQR controller, and the result of which shows better performance of the designed LQG strategy. © 2020 IEEE.

关键词： Kalman filters

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Highlight of LHAASO science results on PeVatrons 38

Highlight of LHAASO science results on PeVatrons

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38th International Cosmic Ray Conference, ICRC 2023

作者： Wu, Sha Chen, Songzhan Cao, Zhen Aharonian, F. An, Q. Axikegu Bai, Y.X. Bao, Y.W. Bastieri, D. Bi, X.J. Bi, Y.J. Cai, J.T. Cao, Q. Cao, W.Y. Cao, Zhe Chang, J. Chang, J.F. Chen, A.M. Chen, E.S. Chen, Liang Chen, Lin Chen, Long Chen, M.J. Chen, M.L. Chen, Q.H. Chen, S.H. Chen, S.Z. Chen, T.L. Chen, Y. Cheng, N. Cheng, Y.D. Cui, M.Y. Cui, S.W. Cui, X.H. Cui, Y.D. Dai, B.Z. Dai, H.L. Dai, Z.G. Danzengluobu della Volpe, D. Dong, X.Q. Duan, K.K. Fan, J.H. Fan, Y.Z. Fang, J. Fang, K. Feng, C.F. Feng, L. Feng, S.H. Feng, X.T. Feng, Y.L. Gabici, S. Gao, B. Gao, C.D. Gao, L.Q. Gao, Q. Gao, W. Gao, W.K. Ge, M.M. Geng, L.S. Giacinti, G. Gong, G.H. Gou, Q.B. Gu, M.H. Guo, F.L. Guo, X.L. Guo, Y.Q. Guo, Y.Y. Han, Y.A. He, H.H. He, H.N. He, J.Y. He, X.B. He, Y. Heller, M. Hor, Y.K. Hou, B.W. Hou, C. Hou, X. Hu, H.B. Hu, Q. Hu, S.C. Huang, D.H. Huang, T.Q. Huang, W.J. Huang, X.T. Huang, X.Y. Huang, Y. Huang, Z.C. Ji, X.L. Jia, H.Y. Jia, K. Jiang, K. Jiang, X.W. Jiang, Z.J. Jin, M. Kang, M.M. Ke, T. Kuleshov, D. Kurinov, K. Li, B.B. Li, Cheng Li, Cong Li, D. Li, F. Li, H.B. Li, H.C. Li, H.Y. Li, J. Li, Jian Li, Jie Li, K. Li, W.L. Li, W.L. Li, X.R. Li, Xin Li, Y.Z. Li, Zhe Li, Zhuo Liang, E.W. Liang, Y.F. Lin, S.J. Liu, B. Liu, C. Liu, D. Liu, H. Liu, H.D. Liu, J. Liu, J.L. Liu, J.Y. Liu, M.Y. Liu, R.Y. Liu, S.M. Liu, W. Liu, Y. Liu, Y.N. Lu, R. Luo, Q. Lv, H.K. Ma, B.Q. Ma, L.L. Ma, X.H. Mao, J.R. Min, Z. Mitthumsiri, W. Mu, H.J. Nan, Y.C. Neronov, A. Ou, Z.W. Pang, B.Y. Pattarakijwanich, P. Pei, Z.Y. Qi, M.Y. Qi, Y.Q. Qiao, B.Q. Qin, J.J. Ruffolo, D. Sáiz, A. Semikoz, D. Shao, C.Y. Shao, L. Shchegolev, O. Sheng, X.D. Shu, F.W. Song, H.C. Stenkin, Yu.V. Stepanov, V. Su, Y. Sun, Q.N. Sun, X.N. Sun, Z.B. Tam, P.H.T. Key Laboratory of Particle Astrophysics Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China Key Laboratory of Particle Astrophysics Experimental Physics Division Computing Center Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China University of Chinese Academy of Sciences Beijing100049 China TIANFU Cosmic Ray Research Center Sichuan Chengdu China Dublin Institute for Advanced Studies 31 Fitzwilliam Place Dublin 2 Ireland Max-Planck-Institut for Nuclear Physics P.O. Box 103980 Heidelberg69029 Germany State Key Laboratory of Particle Detection and Electronics China University of Science and Technology of China Anhui Hefei230026 China School of Physical Science and Technology School of Information Science and Technology Southwest Jiaotong University Sichuan Chengdu610031 China School of Astronomy and Space Science Nanjing University Jiangsu Nanjing210023 China Center for Astrophysics Guangzhou University Guangdong Guangzhou510006 China Hebei Normal University Hebei Shijiazhuang050024 China Key Laboratory of Dark Matter and Space Astronomy Key Laboratory of Radio Astronomy Purple Mountain Observatory Chinese Academy of Sciences Jiangsu Nanjing210023 China Tsung-Dao Lee Institute School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai200030 China Key Laboratory of Cosmic Rays Tibet University Ministry of Education Tibet Lhasa850000 China National Astronomical Observatories Chinese Academy of Sciences Beijing100101 China School of Physics and Astronomy Sun Yat-sen University Zhuhai519000 China School of Physics Sun Yat-sen University Guangdong Guangzhou510275 China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-sen University Zhuhai519000 China School of Physics and Astronomy Yunnan University Yunnan

The observation of ultra-high energy (UHE, E>100 TeV) gamma-ray sources plays a crucial role in identifying Galactic PeV accelerators, also known as PeVatrons. The Large High Altitude Air Shower Observatory (LHAASO) is a large hybrid extensive air shower array, constructed at Haizi Mountain, 4410 m a.s.l., in China. With its wide field of view and high sensitivity, LHAASO is an ideal instrument for the detection and study of PeVatrons within our Galaxy. Since July 2021, the whole LHAASO detector array has been completed and operated in good states. Through an all-sky survey, we have observed ultra-high energy gamma-ray emissions in 43 regions associated with pulsars, supernova remnants (SNR), young star clusters, and other celestial objects. In this proceeding, we will present the results obtained from representative gamma-ray sources and discuss our observations of diffuse gamma-ray emissions along the Galactic plane. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Supernovae

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The Correlation Mechanism that Micro-Structure Parameters of ZnO Varistor to the Macroscopic Electrical Characteristics

The Correlation Mechanism that Micro-Structure Parameters of...

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International Conference on Electrical Materials and Power Equipment (ICEMPE)

作者： Pengfei Meng Jingke Guo Long Zhao Wenhao Lu Zheng Liu Shan Li Kai Zhou Jun Hu College of Electrical Engineering Sichuan University Chengdu China State Grid Linyi power supply company STATE GRID Corporatio of China Linyi China High Voltage Technology Department Extra High Voltage Power Transmission Company of CSG Guangzhou China State Key Laboratory of Intense Pulsed Radiatio Simulation and Effect Northwest Institute of Nuclear Technology Xi’an China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China

As the core part of metal oxide arresters, ZnO varistor plays an important part in suppressing the overvoltage of power systems. With the development of UHV technology, the residual voltage and energy capacity of ZnO varistors have put forward higher requirements. The research is carried out from the perspective of material calculation, studied the correlation mechanism between micro-structure parameters and various macroscopic electrical characteristics of ZnO varistor based on Voronoi network. And the microstructure parameters such as grain size and size inhomogeneity were calculated and studied. The study simplified the optimization problem with multiple variates and objectives, into the one with two categories of variates and two categories of objectives. And then proposed specific strategies. The research provides important theoretical basis for improving the performance of ZnO varistors, and witch is of great significance for the design and manufacture of high-performance lightning arresters.

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Signal Detection and Signal Source Integrated System Design

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Journal of Physics: Conference Series 2021年第1期1739卷

作者： Wanchang Lai Hengxu Ma Guangxi Wang Hongjian Lin Jinchu Huang College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu Sichuan 610059 China

A signal detection and nuclear signal generator is designed with a 7 and a half high-precision measurement module, high-precision reference source, and digital potentiometer, which integrates the measurement of three signals of bipolar high voltage, micro/high current, and large resistance. And precision adjustable voltage source and current source of microvolt level and picoamp level. Experimental tests show that the system can accurately measure a variety of IVR signals, while providing a stable and precise voltage source and current source, and is easy to operate and easy to carry.

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Development of a nuclear Energy Spectrum Signal Generator

引用

Journal of Physics: Conference Series 2021年第1期1739卷

作者： Juan Zhai Jiehao Chen Hongjian Lin Jinge Zhou Jinchu Huang College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu 610059 Sichuan China

A digital nuclear pulse and digital nuclear energy spectrum signal generator was designed using FPGA and digital frequency synthesizer (DDS). It also includes slip signal, triangle wave, square wave, sine wave output. By randomly sampling the amplitude information and time information of the reference spectrum line, the complex algorithm of nuclear signal reproduction is avoided, and the simulation of the nuclear signal random pulse and nuclear energy spectrum (137Cs gamma spectrum) is realized. The signal amplitude is adjustable from 0.1V to 10V, and the frequency is adjustable from 10Hz to 10kHz.

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