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arXiv 2024年

作者： Hamilton, Christopher W. McEwen, Alfred S. Keszthelyi, Laszlo Carter, Lynn M. Davies, Ashley G. de Kleer, Katherine Jessup, Kandis Lea Jia, Xianzhe Keane, James T. Mandt, Kathleen Nimmo, Francis Paranicas, Chris Park, Ryan S. Perry, Jason E. Pommier, Anne Radebaugh, Jani Sutton, Sarah S. Vorburger, Audrey Wurz, Peter Borlina, Cauê Haapala, Amanda F. DellaGiustina, Daniella N. Denevi, Brett W. Hörst, Sarah M. Kempf, Sascha Khurana, Krishan K. Likar, Justin J. Masters, Adam Mousis, Olivier Polit, Anjani T. Bhushan, Aditya Bland, Michael Matsuyama, Isamu Spencer, John Lunar and Planetary Laboratory University of Arizona 1629 E. University Blvd. TucsonAZ85721 United States U. S. Geological Survey Astrogeology Science Center 2255 N. Gemini Dr. FlagstaffAZ86001 United States Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Drive PasadenaCA91109 United States Division of Geological and Planetary Sciences California Institute of Technology PasadenaCA91125 United States Southwest Research Institute 1301 Walnut Street Suite 400 BoulderCO80302 United States Department of Climate and Space Sciences and Engineering University of Michigan Ann ArborMI48109 United States Planetary Systems Laboratory NASA Goddard Space Flight Center GreenbeltMD20771 United States Department of Earth and Planetary Sciences University of California - Santa Cruz Santa CruzCA95064 United States Johns Hopkins University Applied Physics Laboratory 11100 Johns Hopkins Road LaurelMD20723 United States Earth and Planets Laboratory WashingtonDC20015 United States Department of Geological Sciences Brigham Young University ProvoUT84602 United States Space Science and Planetology Physics Institute University of Bern Bern3012 Switzerland Department of Earth and Planetary Sciences Johns Hopkins University BaltimoreMD21218 United States Department of Earth Atmospheric and Planetary Sciences Purdue University West LafayetteIN47907 United States Laboratory for Atmospheric and Space Physics University of Colorado Boulder BoulderCO80303 United States Department of Earth Planetary and Space Sciences University of California at Los Angeles Los AngelesCA91356 United States The Blackett Laboratory Imperial College London Prince Consort Road LondonSW7 2AZ United Kingdom LAM Aix-Marseille Université Marseille France

Jupiter's moon Io is a highly compelling target for future exploration that offers critical insight into tidal dissipation processes and the geology of high heat flux worlds, including primitive planetary bodies, such as the early Earth, that are shaped by enhanced rates of volcanism. Io is also important for understanding the development of volcanogenic atmospheres and mass-exchange within the Jupiter System. However, fundamental questions remain about the state of Io's interior, surface, and atmosphere, as well as its role in the evolution of the Galilean satellites. The Io Volcano Observer (IVO) would address these questions by achieving the following three key goals: (A) Determine how and where tidal heat is generated inside Io;(B) Understand how tidal heat is transported to the surface of Io;and (C) Understand how Io is evolving. IVO was selected for Phase A study through the NASA Discovery program in 2020 and, in anticipation of a New Frontiers 5 opportunity, an enhanced IVO-NF mission concept was advanced that would increase the Baseline mission from 10 flybys to 20, with an improved radiation design;employ a Ka-band communications to double IVO's total data downlink;add a wide angle camera for color and stereo mapping;add a dust mass spectrometer;and lower the altitude of later flybys to enable new science. This study compares and contrasts the mission architecture, instrument suite, and science objectives for Discovery (IVO) and New Frontiers (IVO-NF) missions to Io-and advocates for continued prioritization of Io as an exploration target for New Frontiers. © 2024, CC BY-NC-SA.

关键词： NASA

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Improved deep deterministic policy gradient algorithm based on prioritized sampling

Improved deep deterministic policy gradient algorithm based ...

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Chinese Intelligent systems Conference, CISC 2018

作者： Zhang, HaoYu Xiong, Kai Bai, Jie Science and Technology on Space Intelligent Control Laboratory Beijing Institute of Control Engineering Beijing100190 China Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications Beijing Institute of Spacecraft System Engineering Beijing China

ISBN: (纸本)9789811322877

Deep reinforcement learning tends to have low sampling efficiency, and prioritized sampling algorithm can improve the sampling efficiency to a certain extent. The prioritized sampling algorithm can be used in deep deterministic policy gradient algorithm, and a small sample sorting method is proposed to solve the problem of high complexity of the common prioritized sampling algorithm. simulation experiments prove that the improved deep deterministic policy gradient algorithm improves the sampling efficiency and the training performance is better. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Reinforcement learning

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Diffusion mechanism simulation of cloud manufacturing complex network based on cooperative game theory

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Journal of systems Engineering and Electronics 2018年第2期29卷 321-335页

作者： GENG Chao QU Shiyou XIAO Yingying WANG Mei SHI Guoqiang LIN Tingyu XUE Junjie JIA Zhengxuan Economics and Management School Harbin Institute of Technology at Weihai Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Science and Technology on Space System Simulation Laboratory Beijing Simulation Center

Cloud manufacturing is a specific implementation form of the "Internet + manufacturing" strategy. Why and how to develop cloud manufacturing platform(CMP), however, remains the key concern of both platform operators and users. A microscopic model is proposed to investigate advantages and diffusion forces of CMP through exploration of its diffusion process and mechanism. Specifically, a three-stage basic evolution process of CMP is innovatively proposed. Then, based on this basic process, a more complex CMP evolution model has been established in virtue of complex network theory, with five diffusion forces identified. Thereafter, simulations on CMP diffusion have been conducted. The results indicate that, CMP possesses better resource utilization,user satisfaction, and enterprise utility. Results of simulation on impacts of different diffusion forces show that both the time required for CMP to reach an equilibrium state and the final network size are affected simultaneously by the five diffusion forces. All these analyses indicate that CMP could create an open online cooperation environment and turns out to be an effective implementation of the "Internet + manufacturing" strategy.

关键词： complex network cloud manufacturing innovation diffusion network effect Gale-Shapley algorithm cooperative game theory

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Multibeam Antenna Implementation Using Anisotropic Metasurfaces

Multibeam Antenna Implementation Using Anisotropic Metasurfa...

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Annual Siberian Russian Workshop on Electron Devices and Materials (EDM)

作者： Anton V. Chesnitskiy Aleksey N. Kosmynin Oleg M. Kaigorodov Pavel A. Sibirtsev Ksenia N. Kosmynina Konstantin V. Lemberg Laboratory of Nanotechnologies and Nanomaterials Rzhanov Institute of Semiconductor Physics Siberian Branch of the Russian Academy of Sciences Novosibirsk Russia dept. of Research and Development &#x00AB Matrix Wave&#x00BB LLC Moscow Russia Higher School of Applied Physics and Space Technologies Peter the Great St.Petersburg Polytechnic University St.Petersburg Russia dept. of Information Systems and Technology Skolkovo Institute of Science and Technology Moscow Russia Scientific Instrumentation Laboratory Kirensky Institute of Physics Siberian Branch of the Russian Academy of Sciences Krasnoyarsk Russia

ISBN: (数字)9781665498043

ISBN: (纸本)9781665498050

This study is devoted to the development and research of multibeam antennas based on anisotropic metasurfaces with one or several feed points. An innovative technique for synthesizing the tensor impedance distribution for the formation of three beams from a radiating metasurface was proposed. Prototypes of the proposed antennas in the Ku-band frequency with one and three feed points were fabricated, and their characteristics were experimentally investigated. The gain of the manufactured multibeam antennas reaches 23 dBi. Good agreement between the results of the numerical simulation and experimental data was achieved, which indicates the reproducibility of the synthesis method in practice. Multibeam antennas on anisotropic metasurfaces can be scaled to high frequencies and effectively used at operating frequencies up to the sub-terahertz range. Such antennas are promising for the development of terrestrial communication infrastructure as 5/6G transmitters and repeaters, as well as for use as a payload of low-orbit satellite systems.

关键词： Satellite antennas Satellites Tensors Transmitting antennas Prototypes Metasurfaces Antenna feeds

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A Satellite Communication System Transmission Scheme Based on Probabilistic Shaping

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China Communications 2019年第10期16卷 226-233页

作者： Wei Zhang Xia Sheng Xishuo Wang Qi Zhang Science and Technology on Information Systems Engineering Laboratory National University of Defense TechnologyFuyuan road NO. 1Changsha410000China China Academy of Space Technology (CAST) Beijing 100094China School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Key Laboratory of Space-Ground Interconnection and Convergence Beijing University of Posts and TelecommunicationsBeijing 100876China State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and TelecommunicationsBeijing 100876China

In this paper, A transmission scheme based on probabilistic shaping applied to satellite communication systems is proposed. 16QAM is taken as an example to establish a 1GBaud ROF experimental system working in Ka-band. The experiment results show that the PS-16QAM signal has better performance in terms of bit error rate than the uniform 16QAM, and its performance is close to the uniform 8QAM scheme.

关键词： probabilistic shaping satellite communication Ka-band

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Modeling of the TeV cosmic-ray anisotropy based on intensity mapping in an MHD-simulated heliosphere

Modeling of the TeV cosmic-ray anisotropy based on intensity...

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37th International Cosmic Ray Conference, ICRC 2021

作者： Pogorelov, N.V. Amenomori, M. Asano, S. Bao, Y.W. Bi, X.J. Chen, D. Chen, T.L. Chen, W.Y. Chen, Xu Chen, Y. Cirennima Cui, S.W. Danzengluobu Ding, L.K. Fang, J.H. Fang, K. Feng, C.F. Feng, Zhaoyang Feng, Z.Y. Gao, Qi Gomi, A. Gou, Q.B. Guo, Y.Q. Guo, Y.Y. He, H.H. He, Z.T. Hibino, K. Hotta, N. Hu, Haibing Hu, H.B. Hu, K.Y. Huang, J. Jia, H.Y. Jiang, L. Jiang, P. Jin, H.B. Kasahara, K. Katayose, Y. Kato, C. Kato, S. Kawashima, T. Kawata, K. Kozai, M. Kurashige, D. Labaciren Le, G.M. Li, A.F. Li, H.J. Li, W.J. Li, Y. Lin, Y.H. Liu, B. Liu, C. Liu, J.S. Liu, L.Y. Liu, M.Y. Liu, W. Liu, X.L. Lou, Y.-Q. Lu, H. Meng, X.R. Meng, Y. Munakata, K. Nagaya, K. Nakamura, Y. Nakazawa, Y. Nanjo, H. Ning, C.C. Nishizawa, M. Ohnishi, M. Okukawa, S. Ozawa, S. Qian, L. Qian, X. Qian, X.L. Qu, X.B. Saito, T. Sakakibara, Y. Sakata, M. Sako, T. Sako, T.K. Shao, J. Shibata, M. Shiomi, A. Sugimoto, H. Takano, W. Takita, M. Tan, Y.H. Tateyama, N. Torii, S. Tsuchiya, H. Udo, S. Wang, H. Wang, Y.P. Wangdui Wu, H.R. Wu, Q. Xu, J.L. Xue, L. Yang, Z. Yao, Y.Q. Yin, J. Yokoe, Y. Yu, N.P. Yuan, A.F. Zhai, L.M. Zhang, C.P. Zhang, H.M. Zhang, J.L. Zhang, X. Zhang, X.Y. Zhang, Y. Zhang, Yi Zhang, Ying Zhao, S.P. Zhaxisangzhu Zhou, X.X. Department of Space Science Center for Space Plasma and Aeronomic Research University of Alabama in Huntsville 320 Sparkman Drive HuntsvilleAL35899 United States Department of Physics Hirosaki University Hirosaki036-8561 Japan Department of Physics Shinshu University Matsumoto390-8621 Japan School of Astronomy and Space Science Nanjing University Nanjing210093 China Particle Astrophysics Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China National Astronomical Key Laboratory of Observatories Chinese Academy of Sciences Beijing100012 China Department of Mathematics and Physics Tibet University Lhasa850000 China Department of Physics Hebei Normal University Shijiazhuang050016 China University of Chinese Academy of Sciences Beijing100049 China Shandong University Qingdao266237 China Institute of Modern Physics SouthWest Jiaotong University Chengdu610031 China Faculty of Engineering Yokohama National University Yokohama240-8501 Japan Faculty of Engineering Kanagawa University Yokohama221-8686 Japan Faculty of Education Utsunomiya University Utsunomiya321-8505 Japan Faculty of Systems Engineering Shibaura Institute of Technology Omiya330-8570 Japan Institute for Cosmic Ray Research University of Tokyo Kashiwa277-8582 Japan Sagamihara252-5210 Japan National Center for Space Weather China Meteorological Administration Beijing100081 China School of Information Science and Engineering Shandong Agriculture University Taian271018 China Department of Astronomy School of Physical Sciences University of Science and Technology of China Hefei230026 China Tsinghua University Beijing100084 China Joint Research Center for Astrophysics Tsinghua University Beijing100084 China Department of Astronomy Tsinghua University Beijing100084 China College of Industrial Technology Nihon University Narashino275-8576 Japan National Institute of Informatics Tokyo101-8430 Japan National Institute of Information an

Small but significant anisotropic features with amplitudes of ∼0.1% have been reported in the arrival directions of galactic cosmic rays at TeV energies. In this presentation, we preform the modeling of the TeV cosmic-ray anisotropy outside the heliosphere using experimental data of the Tibet ASγ experiment based on the idea of Liouville mapping. In the intensity-mapping process, we take into account for the first time the rigidity distribution of cosmic-ray particles observed by the experiment. We also improve the modeling of the cosmic-ray intensity distribution at the outer boundary outside the heliosphere to improve the reduced χ2 of the fitting. Small structures with angular scales of ∼10◦ are indicated in the intensity distribution at the outer boundary. © Copyright owned by the author(s).

关键词： Cosmology

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The physics-based deterministic scenarios for earthquake hazards and losses of the Zhujiangkou fault in southern China

npj Natural Hazards

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npj Natural Hazards 2025年第1期2卷 1-13页

作者： Yilong Li Ming Wang Kai Liu Houyun Yu Zhenguo Zhang Wei Zhang Xiaofei Chen Xiuwei Ye Joint International Research Laboratory of Catastrophe Simulation and Systemic Risk Governance Beijing Normal University Zhuhai China School of National Safety and Emergency Management Beijing Normal University Zhuhai China Department of Earth and Space Sciences Southern University of Science and Technology Shenzhen China School of National Safety and Emergency Management Beijing Normal University Beijing China Guangdong Provincial Key Laboratory of Geophysical High-resolution Imaging Technology Southern University of Science and Technology Shenzhen China China Earthquake Administration Key Laboratory of Earthquake Monitoring and Disaster Mitigation Technology Guangdong Earthquake Agency Guangzhou China Guangdong Science and Technology Collaborative Innovation Center for Earthquake Prevention and Disaster Mitigation Guangzhou China Key Laboratory of Disaster Forecast and Control in Engineering of the Ministry of Education Urban Earthquake Safety Laboratory Guangzhou China

Dynamic rupture directivity significantly impacts earthquake hazard and loss assessments; yet, it is often overlooked, leading to uncertainties. We developed high-resolution, broadband, deterministic scenarios for earthquake hazards and losses of the Zhujiangkou Fault (ZF) in the Guangdong-Hong Kong-Macao Greater Bay Area of southern China. The calculations cover the entire physical process from fault dynamic rupture through strong ground motion propagation to quantitative loss estimations. We fully incorporate the real 3D physical fields, including fault structure, regional stress, friction conditions, inhomogeneous velocity, and topography. Results revealed higher earthquake hazards and losses triggered by the northwestern ZF segment, affecting Hong Kong, Shenzhen, Dongguan, Macao, and Guangzhou. The rupture directivity effect, driven by seismic wave interferences in forward propagation, leads to stark differences in hazards and losses across urban agglomerations, even under similar fault conditions. These findings help enhance the precision of earthquake risk assessments and provide practical approaches for disaster prevention.

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Research on obstacle detection and path planning based on visual navigation for mobile robot

Research on obstacle detection and path planning based on vi...

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作者： Yixiao Zheng Bixi Yan Chao Ma Xinyu Wang Haoyang Xue School of Instrument Science and Optoelectronic Engineering Beijing Information Science and Technology University Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications Beijing Institute of Spacecraft System Engineering

Both obstacle and path planning are of significance for autonomous visual navigation of a mobile robot which is able to realize free movement and obstacle *** this paper,a scheme of obstacle detection which is based on binocular vision to identify obstacles is constructed and it is combined with improved A* algorithm for obstacle avoidance motion for mobile robot ***,a binocular vision system to detect the robot's perception of the environment is used and the visual information is *** a Gaussian filter is used to reduce the noise in the image,and the grayscale image is obtained through the binocular vision *** gray scale map is matched with SAD(Sum of Absolute Differences) in order to obtain the disparity image with ***,the location information of the obstacle is extracted through the environmental depth information contained in the disparity image,and the improved A* algorithm is used as the path planning algorithm in this paper,which can modify the path of the planning ***,the detection experiment of the robot visual obstacle avoidance system was established and the optimal path was *** examples show that,the obstacle avoidance system can complete the task of obstacle detection and give a better path for the mobile robot.

关键词： image filter Research on obstacle detection and path planning based on visual navigation for mobile robot

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Global Community Guidelines for Documenting, Sharing, and Reusing Quality Information of Individual Digital Datasets

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Data science Journal 2022年第1期21卷 8-8页

作者： Peng, Ge Lacagnina, Carlo Downs, Robert R. Ganske, Anette Ramapriyan, Hampapuram K. Ivánová, Ivana Wyborn, Lesley Jones, Dave Bastin, Lucy Shie, Chung-Lin Moroni, David F. Earth System Science Center/NASA MSFC IMPACT The University of Alabama in Huntsville HuntsvilleAL United States Barcelona Spain Columbia University PalisadesNY United States TIB – Leibniz Information Centre for Science and Technology Hannover Germany Science Systems and Applications Inc LanhamMD United States NASA Goddard Space Flight Center Greenbelt MD United States Curtin University Perth Australia National Computational Infrastructure Australian National University ACT Australia StormCenter Communications | GeoCollaborate HalethorpeMD United States Aston University Birmingham United Kingdom University of Maryland at Baltimore County BaltimoreMD United States NASA Goddard Space Flight Center GreenbeltMD United States Jet Propulsion Laboratory California Institute of Technology PasadenaCA United States

Open-source science builds on open and free resources that include data, metadata, software, and workflows. Informed decisions on whether and how to (re)use digital datasets are dependent on an understanding about the quality of the underpinning data and relevant information. However, quality information, being difficult to curate and often context specific, is currently not readily available for sharing within and across disciplines. To help address this challenge and promote the creation and (re) use of freely and openly shared information about the quality of individual datasets, members of several groups around the world have undertaken an effort to develop international community guidelines with practical recommendations for the Earth science community, collaborating with international domain experts. The guidelines were inspired by the guiding principles of being findable, accessible, interoperable, and reusable (FAIR). Use of the FAIR dataset quality information guidelines is intended to help stakeholders, such as scientific data centers, digital data repositories, and producers, publishers, stewards and managers of data, to: i) capture, describe, and represent quality information of their datasets in a manner that is consistent with the FAIR Guiding Principles;ii) allow for the maximum discovery, trust, sharing, and reuse of their datasets;and iii) enable international access to and integration of dataset quality information. This article describes the processes that developed the guidelines that are aligned with the FAIR principles, presents a generic quality assessment workflow, describes the guidelines for preparing and disseminating dataset quality information, and outlines a path forward to improve their disciplinary diversity. © 2022 The Author(s).

关键词： Metadata

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FAST drift scan survey for Hi intensity mapping: simulation on Bayesian-stacking-based Hi mass function estimation

arXiv

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arXiv 2025年

作者： Wang, Jiaxin Li, Yichao Pan, Hengxing Deng, Furen Liu, Diyang Yang, Wenxiu Hu, Wenkai Wang, Yougang Zhang, Xin Chen, Xuelei College of Sciences Northeastern University Shenyang110819 China National Astronomical Observatories Chinese Academy of Sciences Beijing100101 China School of Astronomy and Space Science University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Radio Astronomy and Technology Chinese Academy of Sciences A20 Datun Road Chaoyang District Beijing100101 China Institute of Astronomy University of Cambridge Madingley Road CambridgeCB3 0HA United Kingdom Department of Physics & Astronomy University of the Western Cape Cape Town7535 South Africa Australia National Frontiers Science Center for Industrial Intelligence and Systems OptimiΖation Northeastern University Shenyang110819 China Northeastern University Shenyang110819 China

This study investigates the estimation of the neutral hydrogen (Hi) mass function (HiMF) using a Bayesian stacking approach with simulated data for the Five-hundred-meter Aperture Spherical radio Telescope (FAST) Hi intensity mapping (HiIM) drift-scan surveys. Using data from the IllustrisTNG simulation, we construct Hi sky cubes at redshift Ζ ∼ 0.1 and the corresponding optical galaxy catalogs, simulating FAST observations under various survey strategies, including pilot, deep-field, and ultradeep-field surveys. The HiMF is measured for distinct galaxy populations – classified by optical properties into red, blue, and bluer galaxies – and injected with systematic effects such as observational noise and flux confusion caused by the FAST beam. The results show that Bayesian stacking significantly enhances HiMF measurements. For red and blue galaxies, the HiMF can be well constrained with pilot surveys, while deeper surveys are required for the bluer galaxy population. Our analysis also reveals that sample variance dominates over observational noise, emphasizing the importance of wide-field surveys to improve constraints. Furthermore, flux confusion shifts the HiMF toward higher masses, which we address using a transfer function for correction. Finally, we explore the effects of intrinsic sample incompleteness and propose a framework to quantify its impact. This work lays the groundwork for future HiMF studies with FAST HiIM, addressing key challenges and enabling robust analyses of Hi content across galaxy populations. Copyright © 2025, The Authors. All rights reserved.

关键词： Radio telescopes

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