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arXiv 2024年

作者： Pang, Binyu Abdukerim, Abdusalam Bo, Zihao Chen, Wei Chen, Xun Cheng, Chen Cheng, Zhaokan Cui, Xiangyi Fan, Yingjie Fang, Deqing Fu, Changbo Fu, Mengting Geng, Lisheng Giboni, Karl Gu, Linhui Guo, Xuyuan Han, Chencheng Han, Ke He, Changda He, Jinrong Huang, Di Huang, Yanlin 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 Lu, Xiaoying Luo, Lingyin Luo, Yunyang Ma, Wenbo Ma, Yugang Mao, Yajun Meng, Yue Ning, Xuyang Qi, Ningchun Qian, Zhicheng Ren, Xiangxiang Shaheed, Nasir Shang, Xiaofeng Shao, Xiyuan Shen, Guofang Si, Lin Sun, Wenliang Tan, Andi Tao, Yi Wang, Anqing Wang, Meng Wang, Qiuhong Wang, Shaobo Wang, Siguang Wang, Wei Wang, Xiuli Wang, Zhou Wei, Yuehuan Wu, Mengmeng Wu, Weihao Xia, Jingkai Xiao, Mengjiao Xiao, Xiang Xie, Pengwei Yan, Binbin Yan, Xiyu Yang, Jijun Yang, Yong Yao, Yukun Yu, Chunxu Yuan, Ying Yuan, Zhe Zeng, Xinning Zhang, Dan Zhang, Minzhen Zhang, Peng Zhang, Shibo Zhang, Shu Zhang, Tao Zhang, Wei Zhang, Yang Zhang, Yingxin Zhang, Yuanyuan Zhao, Li Zheng, Qibin Zhou, Jifang Zhou, Ning Zhou, Xiaopeng Zhou, Yong Zhou, Yubo New Cornerstone Science Laboratory Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai200240 China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary Science Shandong University Shandong Qingdao266237 China Key Laboratory of Particle Physics and Particle Irradiation Ministry of Education Shandong University Shandong Qingdao266237 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 Shanghai200240 China Shanghai Jiao Tong University Sichuan Research Institute Chengdu610213 China School of Physics Sun Yat-Sen University Guangzhou510275 China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen University Zhuhai519082 China Department of Physics Yantai University Yantai264005 China Key Laboratory of Nuclear Physics and Ion-beam Application MOE Institute of Modern Physics Fudan University Shanghai200433 China School of Physics Peking University Beijing100871 China School of Physics Beihang University Beijing102206 China International Research Center for Nuclei and Particles in the Cosmos Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University Beijing100191 China School of Physics and Microelectronics Zhengzhou University Henan Zhengzhou450001 China Yalong River Hydropower Development Company Ltd. 288 Shuanglin Road Chengdu610051 China School of Medical Instrument and Food Engineering University of Shanghai for Science and Technology Shanghai200093 China School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China Department of Physics University of Maryland College ParkMD20742 United States State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei230026 China Department of Modern Physics University of Science and Technology o

Neutrinos from core-collapse supernovae are essential for the understanding of neutrino physics and stellar evolution. The dual-phase xenon dark matter detectors can provide a way to track explosions of galactic supernovae by detecting neutrinos through coherent elastic neutrino-nucleus scatterings. In this study, a variation of progenitor masses as well as explosion models are assumed to predict the 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-second 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, providing the astronomical communities with supernova early warnings. Copyright © 2024, The Authors. All rights reserved.

关键词： Supernovae

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A Search for Solar Axions and Anomalous Neutrino Magnetic Moment with the Complete Panda X-Ⅱ Data

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Chinese Physics Letters 2021年第1期38卷 30-34页

作者： Xiaopeng Zhou Xinning Zeng Xuyang Ning 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 Di Huang Yan Huang Yanlin Huang Zhou Huang Xiangdong Ji Yonglin Ju Shuaijie Li Huaxuan Liu Jianglai Liu Xiaoying Lu Wenbo Ma Yugang Ma Yajun Mao Yue Meng Kaixiang Ni Jinhua 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 Pengwei Xie Binbin Yan Jijun Yang Yong Yang Chunxu Yu Jumin Yuan Ying Yuan Dan Zhang Tao Zhang Li Zhao Qibin Zheng Jifang Zhou Ning Zhou INPAC School of Physics and AstronomyShanghai Jiao Tong Universityand Shanghai Key Laboratory for Particle Physics and CosmologyShanghai 200240China School of Physics Beihang UniversityBeijing 100191China 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 Tsung-Dao Lee Institute Shanghai Jiao Tong UniversityShanghai 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 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 TechnologyShanghai 200093China Department of Physics University of MarylandCollege ParkMaryland 20742USA School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China School of Physics and Key Laboratory of Particle Physics and Particle Irradiation(MOE) Shandong UniversityJinan 250100China Shanghai Institute of Applied Physics Chinese Academy of SciencesShanghai 201800China Shanghai Advanced Research Institute Chinese Academy of SciencesShanghai 201210China Center for High Energy Physics Peking UniversityBeijing 100871China

We report a search for new physics signals using the low energy electron recoil events in the complete data set from PandaX-Ⅱ,in light of the recent event excess reported by XENON1 *** data correspond to a total exposure of 100.7 ton·day with liquid *** robust estimates of the dominant background spectra,we perform sensitive searches on solar axions and neutrinos with enhanced magnetic *** is found that the axionelectron coupling gAe<4.6×10^(-12) for an axion mass less than 0.1 keV/c^(2) and the neutrino magnetic moment μv<4.9×10^(-11)μB at 90%confidence *** observed excess from XENON1 T is within our experimental constraints.

关键词： moment. excess estimates

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A Top-Down Deep Learning Model for Predicting Spatiotemporal Dynamics of Groundwater Recharge

SSRN

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SSRN 2023年

作者： Gao, Lei Huang, Xin Zhang, Nan Crosbie, Russell S. Ye, Long Liu, Jian Guo, Zhaoxia Meng, Qinghua Fu, Guobin Bryan, Brett A. College of Computer and Information Engineering Tianjin Normal University Tianjin300387 China Waite Campus UrrbraeSA5064 Australia Faculty of Education Tianjin Normal University Tianjin300387 China School of Mechatronic Engineering and Automation Shanghai University Shanghai200072 China Faculty of Business Information Shanghai Business School Shanghai201400 China HeFei University of Technology Hefei230009 China Business School Sichuan University Chengdu610065 China Private Bag 5 WembleyWA6913 Australia Centre for Integrative Ecology Deakin University Melbourne Burwood Campus BurwoodVIC3125 Australia

Efficient models are needed to portray the spatiotemporal dynamics of groundwater recharge, which is difficult to measure directly. This paper proposes a top-down deep learning model called s-LSTM for modelling and predicting the spatiotemporal dynamics of groundwater recharge. The effectiveness of the proposed model was evaluated and compared with three bottom-up machine learning models using a case study of 246 bores in South *** results demonstrate that s-LSTM outperformed the three bottom-up models in terms of prediction performance, generalization/interpolation ability, training time, and the ability of identifying influential factors to recharge prediction at the regional scale. Groundwater extraction, mean number of wet days per year, seasonal minimum temperature, seasonal rainfall, and seasonal actual evaporation were identified by s-LSTM as the top five influential factors for the prediction of groundwater recharge in the study region. Practitioners are encouraged to consider s-LSTM when dealing with spatiotemporal data modelling and prediction problems. © 2023, The Authors. All rights reserved.

关键词： Forecasting

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Design of a 4-bit absolute-value detector based on CMOS&PTL

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AIP Conference Proceedings 2023年第1期3017卷

作者： Yimeng Sun Yucheng Wang Feiyang Yu College of Electronics and Information Engineering Shanghai University of Electric Power Shanghai 201306 China Glasgow College University of Electronic Science and Technology of China Chengdu 611731 China School of Mechatronic Engineering and Automation Shanghai University Shanghai 200444 China

Powered by advanced information technology, integrated circuits have been widely involved in various fields. The detection and processing of electrical signals has become one of the important steps. This paper designs a 4-bit absolute value detector using CMOS logic and Pass-Transistor Logic (PTL). It can compare the input binary number with the set threshold, which can detect the peak signal to reduce the interference of noise and improve the detection accuracy of the signal. This paper innovatively uses the full adder to design the absolute value detection part, which can reduce the number of CMOS and reduce energy consumption. To increase driving strength and improve logic delay, the design uses a two-inverter chain as a buffer. To achieve the goal of low energy consumption and low delay, this paper calculates the minimum delay case based on the theory of logic effort and the critical path of the circuit. Through comparing only sizing, only voltage scaling and combining method, the final minimum energy consumption is calculated. The parameters for this design are 12.74 FO4 (0.933V) and 9.58 Eu (0.933V). This means that it can improve the reliability of the device and improve the signal response speed in practical applications.

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Transverse emittance reduction in muon beams by ionization cooling

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Nature Physics 2024年第10期20卷 1558-1563页

作者： Heidt, C. Hanson, G.G. Coney, L.R. Sanders, D.A. Cremaldi, L.M. Torun, Y. Snopok, P. Rajaram, D. Mohayai, T.A. Kaplan, D.M. Hanlet, P. Freemire, B. Rubinov, P. Popovic, M. Neuffer, D. Liu, A. Bowring, D. Bross, A.D. Adey, D. Witte, H. Palmer, M. Virostek, S. Prestemon, S. Luo, T. Li, D. Lambert, A. Gourlay, S. DeMello, A. Nebrensky, J.J. Kyberd, P. Gardener, R.B.S. Ellis, M. Wilbur, S. Smith, P.J. Pec, V. Overton, E. Langlands, J. Hodgson, P. Booth, C.N. Cobb, J.H. Uchida, M.A. Middleton, S. Franchini, P. Dobbs, A. Cooke, P. Gamet, R. Young, A.R. Whyte, C.G. Ronald, K. Dick, A.J. Chatzitheodoridis, G.T. Soler, F.J.P. Nugent, J.C. Bayes, R. Wilson, A. Watson, S. Tucker, M. Tarrant, J. Stanley, T. Rogers, C. Ricciardi, S. Preece, R. Nichols, A. Macwaters, C. Lagrange, J.B. Hills, M. Hayler, T. Govans, J. Courthold, M. Brown, C. Bradshaw, T.W. Boehm, J. Bayliss, V. Adams, D. White, C. Warburton, P. Stokes, G. Owens, P. Oates, A. Mullacrane, I. Muir, A. Moss, A. Martlew, B. Hartnett, T. Griffiths, S. Grant, A. Gallagher, A. Dumbell, K. Collomb, N. Charnley, G. Taylor, I. Pidcott, C. Lord, T. Greis, J.R. Boyd, S. Karadzhov, Y. Drielsma, F. Blondel, A. Asfandiyarov, R. Ramberger, S. Vretenar, M. Nikolov, J. Jovancevic, N. Savic, M. Maletic, D. Jokovic, D. Fedorov, M. Filthaut, F. Sung, C.K. Chung, M. Ishimoto, S. Sato, A. Sakamoto, H. Kuno, Y. Tortora, L. Orestano, D. de Bari, A. Mazza, R. Chignoli, F. Bonesini, M. Bertoni, R. Li, Z.H. Tang, J.Y. Song, Y.P. Vankova-Kirilova, G. Tsenov, R. Bogomilov, M. Department of Atomic Physics St Kliment Ohridski University of Sofia Sofia Bulgaria Institute of High Energy Physics Chinese Academy of Sciences Beijing China Sichuan University Chengdu China Sezione INFN Milano Bicocca Dipartimento di Fisica G. Occhialini Milano Italy Sezione INFN Pavia and Dipartimento di Fisica Università di Pavia Pavia Italy INFN Sezione di Roma Tre and Dipartimento di Matematica e Fisica Università Roma Tre Roma Italy Department of Physics Graduate School of Science Osaka University Toyonaka Japan Institute of Particle and Nuclear Studies Tsukuba Japan Pohang University of Science & Technology Pohang Korea Republic of Nikhef Amsterdam Netherlands Radboud University Nijmegen Netherlands Institute of Physics University of Belgrade Belgrade Serbia Faculty of Sciences University of Novi Sad Novi Sad Serbia CERN Geneva Switzerland DNPC Section de Physique Université de Genève Geneva Switzerland Department of Physics University of Warwick Coventry United Kingdom STFC Daresbury Laboratory Daresbury United Kingdom STFC Rutherford Appleton Laboratory Harwell Oxford Didcot United Kingdom School of Physics and Astronomy University of Glasgow Glasgow United Kingdom SUPA and the Department of Physics University of Strathclyde Glasgow United Kingdom Cockcroft Institute Daresbury Laboratory Daresbury United Kingdom Department of Physics University of Liverpool Liverpool United Kingdom Department of Physics University of Oxford Oxford United Kingdom Department of Physics and Astronomy University of Sheffield Sheffield United Kingdom College of Engineering Design and Physical Sciences Brunel University Uxbridge United Kingdom Lawrence Berkeley National Laboratory BerkeleyCA United States Brookhaven National Laboratory UptonNY United States Fermilab BataviaIL United States Illinois Institute of Technology ChicagoIL United States University of Mississippi OxfordMS United States University of California RiversideCA Unite

Accelerated muon beams have been considered for the next-generation studies of high-energy lepton–antilepton collisions and neutrino oscillations. However, high-brightness muon beams have not yet been produced. The main challenge for muon acceleration and storage stems from the large phase-space volume occupied by the beam, derived from the production mechanism of muons through the decay of pions. The phase-space volume of the muon beam can be decreased through ionization cooling. Here we show that ionization cooling leads to a reduction in the transverse emittance of muon beams that traverse lithium hydride or liquid hydrogen absorbers in the Muon Ionization Cooling Experiment. Our results represent a substantial advance towards the realization of muon-based facilities that could operate at the energy and intensity frontiers. © The Author(s) 2024. corrected publication 2024.

关键词： Atomic beams

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Investigation of the Ultra-High-Energy gamma-ray emission from the Northern Fermi Bubble with LHAASO-KM2A

Investigation of the Ultra-High-Energy gamma-ray emission fr...

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38th International Cosmic Ray Conference, ICRC 2023

作者： Zhang, Yi He, Jiayin Zhang, Rui Zhao, Shiping 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. Key Laboratory of Dark Matter and Space Astronomy Purple Mountain Observatory Chinese Academy of Sciences 9 Jiangsu Nanjing210023 China University of Science and Technology of China Anhui Hefei230026 China Institute of Frontier and Interdisciplinary Science Shandong University Shandong Qingdao266237 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 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 Sun Yat-sen University 519000 Zhuhai Guangdong Guangzhou510275 China School of Physics and Astronomy Yunnan University Yunnan Kunming650091 China Département de Physique Nucléaire et Cor

We analyze gamma-ray emission from the Northern Fermi bubble region at the ultra-high-energy range, using the data collected by LHAASO-KM2A from December 2019 to September 2022. Employing an improved gamma/hadron separation method, the median energy of the gamma rays is above 25 TeV. We perform the "direct integral method" in the background estimation;however, no significant excess is observed. Consequently, we present the expected upper limits for gamma-ray emissions within the Fermi bubble region at this energy range. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Gamma rays

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BeiDou B1I/B3I Signals Joint Tracking Algorithm Based on Kalman Filter

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Transactions of Nanjing university of Aeronautics and Astronautics 2019年第6期36卷 879-888页

作者： LYU Chade ZENG Qingzi XU Rui GAO Chang QIU Wenqi College of Automation Engineering Nanjing University of Aeronautics and AstronauticsNanjing 211106P.R.China Key Laboratory of Nuclear Technology Application and Radiation Protection in Astronautics(Nanjing University of Aeronautics and Astronautics) Ministry of Industry and Information TechnologyNanjing 211106P.R.China

Dual-frequency satellite positioning receivers are widely used because they can eliminate ionospheric delay and solve the full-circumference ambiguity ***,in traditional dual-frequency receivers,the relevance of dual-frequency signals are not considered,and,with no improvement imposed to the tracking loop,two independent tracking loops are used to achieve the tracking of dual-frequency *** this paper,the Bei Dou dual-frequency signals joint tracking algorithm based on Kalman filter is proposed for the tracking of Bei Dou B1I and B3I dual-frequency *** the relevance of B1I and B3I signals into consideration,the algorithm adds a Kalman filter between the phase detector and carrier loop filter of the traditional dual-frequency independent tracking *** output results of the phase detectors of the B1I and B3I branches are then combined and filtered by the Kalman filter,and the results are input to the carrier loop filters of the corresponding *** by experiments,the algorithm not only enables the loop to enter a stable tracking state quickly,but also reduces the noise bandwidth of the two loop filters by about 10 Hz with the same tracking performance obtained.

关键词： BeiDou B1I/B3I dual-frequency signals joint tracking Kalman filter

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Deep Reconstruction-Arrival Picking Networks: Transfer Learning from Seismic P-Wave to Ultrasonic Logging Imaging

Deep Reconstruction-Arrival Picking Networks: Transfer Learn...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Xuyang Gao Yibing Shi Zhenqiu Yao Qi Zhu Zhipeng Li Wei Zhang School of Automation Engineering University of Electronic Science and Technology of China Chengdu Sichuan China Glasgow College University of Electronic Science and Technology of China Chengdu Sichuan China Southwest Petroleum University Chengdu Sichuan China

ISBN: (数字)9781728163741

ISBN: (纸本)9781728163758

Increasing the accuracy of the first arrival time extraction of the echo signal is the decisive technology of ultrasonic logging imaging. However, the performance of the existing first arrival time detection algorithms is inadequate, and wrong picking locations lead to indistinct local details and lack of scene adaptation, which makes it challenging to analyze and interpret the geological features. In this paper, a novel domain adaptation algorithm based on deep learning for one-dimensional time-domain ultrasonic signal reconstruction and first arrival time picking is proposed. We build the model called Deep Reconstruction-Arrival Picking Network (DRAPN), in which the source domain performs P-wave picking and waveform reconstruction on seismic signals, but the target domain detects the first arrival time of the unlabeled ultrasonic echo data. A formal analysis is provided to demonstrate the effectiveness of the algorithm in the domain adaptation context and imaging performance, which shows that DRAPN offers better accuracy overall than conventional algorithms.

关键词： Acoustics Imaging Convolution Geology Instruments Ultrasonic variables measurement Training

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Search for boosted keV-MeV light dark matter particles from evaporating primordial black holes at the CDEX-10 experiment

arXiv

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arXiv 2022年

作者： Zhang, Z.H. 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, B.T. Zhang, F.S. Zhang, L. 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 present novel constraints on boosted light dark matter particles (denoted as "χ") from evaporating primordial black holes (PBHs) using 205.4 kg·day data from the China Jinping Underground Laboratory’s CDEX-10 p-type point contact germanium detector with a 160 eVee analysis threshold. χ from PBHs with masses ranging from 1×1015 g to 7×1016 g are searched in this work. In the presence of PBH abundance compatible with present bounds, our result excludes the χ-nucleon elastic-scattering cross section region from 3.4×10−32 cm2 to 2.3×10−29 cm2 for χ of 1 keV to 24 MeV from PBHs with masses of 5×1015 g, as well as from 1.1×10−28 cm2 to 7.6×10−28 cm2 for χ of 1 keV to 0.6 MeV from PBHs with masses of 7×1016 g. If the χ-nucleon elastic-scattering cross section can be determined in the future, the abundance of PBHs may be severely constrained by χ evaporation. With the lower threshold (160 eVee) of the CDEX-10 experiment compared to the previously used experiments, this work allows for a better reach at soft spectra produced by heavier PBHs, which demonstrates the vast potential of such a technical route to pursue χ from larger PBHs with a low threshold. Copyright © 2022, The Authors. All rights reserved.

关键词： Point contacts

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Search for Neutrinoless Double-Beta Decay of 76Ge with a Natural Broad Energy Germanium Detector

arXiv

引用

arXiv 2022年

作者： Dai, Wwnhan H. Ma, H. Yue, Q. She, Z. Kang, K.J. Li, Y.J. Agartioglu, M. An, H.P. Chang, J.P. Chen, Y.H. Cheng, J.P. 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. 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, S.K. Liu, Y.D. Liu, Y. Liu, Y.Y. Liu, Z.Z. Mao, Y.C. Nie, Q.Y. Ning, J.H. Pan, H. Qi, N.C. Ren, J. Ruan, X.C. Saraswat, K. Sharma, V. Singh, M.K. Sun, T.X. Tang, C.J. Tang, W.Y. Tian, Y. Wang, G.F. Wang, L. Wang, Q. Wang, Y. Wang, Y.X. Wong, H.T. Wu, S.Y. Wu, Y.C. Xing, H.Y. Xu, R. Xu, Y. Xue, T. Yan, Y.L. Yang, L.T. Yeh, C.H. 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. Zhang, Z.Y. Zhao, K.K. Zhao, M.G. Zhou, J.F. Zhou, Z.Y. Zhu, J.J. Department of Engineering Physics Tsinghua University Beijing100084 China Institute of Physics Academia Sinica Taipei11529 Taiwan Department of Physics Tsinghua University Beijing100084 China 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

A natural broad energy germanium (BEGe) detector is operated in the China Jinping Underground Laboratory (CJPL) for a feasibility study of building the next generation experiment of the neutrinoless double-beta (0νββ) decay of 76Ge. The setup of the prototype facility, characteristics of the BEGe detector, background reduction methods and data analysis are described in this paper. A background index of 6.4×10−3 counts/(keV·kg·day) is achieved and 1.86 times lower than our previous result of the CDEX-1 detector. No signal is observed with an exposure of 186.4 kg·day, thus a limit on the half life of 76Ge 0νββ decay is set at T01ν/2 > 5.62×1022 yr at 90% C.L.. The limit corresponds to an effective Majorana neutrino mass in the range of 4.6 ∼ 10.3 eV, dependent on the nuclear matrix elements. © 2022, CC BY.

关键词： Germanium

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