Gotowe bibliografie tematyczne / Chinese Academy of Sciences National Astronomical Observatories

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Gotowa bibliografia na temat „Chinese Academy of Sciences National Astronomical Observatories”

Autor: Grafiati

Data publikacji: 29 lipca 2024

Data aktualizacji: 30 lipca 2024

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Artykuły w czasopismach na temat "Chinese Academy of Sciences National Astronomical Observatories"

Xin, Ling. "Exploring other worlds". Physics World 34, nr 9 (1.12.2021): 13. http://dx.doi.org/10.1088/2058-7058/34/09/18.

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Yan, Yan, Zhan-Le Du, Hua-Ning Wang, Han He, Juan Guo, Xin Huang, Xiao-Shuai Zhu, Xing-Hua Dai i Gang-Hua Lin. "Decades of Chinese Solar and Geophysical Data". Proceedings of the International Astronomical Union 13, S340 (luty 2018): 71–72. http://dx.doi.org/10.1017/s1743921318001916.

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AbstractThe Chinese Solar and Geophysical Data (CSGD) was first issued at the Beijing Astronomical Observatory, Chinese Academy of Sciences (now the headquarter of the National Astronomical Observatories, Chinese Academy of Sciences) in 1971, when China’s satellite-industry was booming. CSGD covers the observational data (observations of the sunspots, solar flares, solar radio bursts, ionospheric storm and geomagnetic storm) from a couple of domestic observatories and the forecast data. The compiler of CSGD still keeps the data exchange with other institutes worldwide. The type of the dataset includes texts, tables, figures and so on. Up to now, we have electronized all the historic archives, making them easily accessible to people who are interested in them.

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Cui, Chenzhou, Boliang He, Jian Xiao, Ce Yu, Jian Li, Zihuang Cao, Liying Su i in. "Data Resources and Services at CAsDC". Proceedings of the International Astronomical Union 9, S298 (maj 2013): 401. http://dx.doi.org/10.1017/s1743921313006686.

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AbstractThe Chinese Astronomical Data Center (CAsDC) is a member of World Data System, hosted at National Astronomical Observatories, Chinese Academy of Sciences(NAOC). The CAsDC keeps close collaboration with IVOA, WDS and CODATA. The whole set of LAMOST data, including raw data and data products, are hosted at the CAsDC. Data resources and services of the CAsDC are introduced.

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Wang, Jingxiu. "Astronomy Research in China". Transactions of the International Astronomical Union 24, nr 3 (2001): 210–20. http://dx.doi.org/10.1017/s0251107x00000778.

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AbstractDecades of efforts made by Chinese astronomers have established some basic facilities for astronomy observations, such as the 2.16-m optical telescope, the solar magnetic-field telescope, the 13.7-m millimeter-wave radio telescope etc. One mega-science project, the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST), intended for astronomical and astrophysical studies requiring wide fields and large samples, has been initiated and funded.To concentrate the efforts on mega-science projects, to operate and open the national astronomical facilities in a more effective way, and to foster the best astronomers and research groups, the National Astronomical Observatories (NAOs) has been coordinated and organizated. Four research centers, jointly sponsored by observatories of the Chinese Academy of Sciences and universities, have been established. Nine principal research fields have received enhanced support at NAOs. They are: large-scale structure of universe, formation and evolution of galaxies, high-energy and cataclysmic processes in astrophysics, star formation and evolution, solar magnetic activity and heliogeospace environment, astrogeodynamics, dynamics of celestial bodies in the solar system and artificial bodies, space-astronomy technology, and new astronomical techniques and methods.

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Yan, Yihua. "Research advances in solar physics at National Astronomical Observatories of Chinese Academy of Sciences". Chinese Science Bulletin 66, nr 11 (3.03.2021): 1363–84. http://dx.doi.org/10.1360/tb-2020-1645.

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Qiu, Jane. "Great strides of China's space programmes". National Science Review 4, nr 2 (24.02.2017): 264–68. http://dx.doi.org/10.1093/nsr/nwx006.

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Abstract While China's almost flawless space endeavours—such as its space lab Tiangong-2, launched last year, and the 2012 mission that sent a rover to the surface of the Moon—have long impressed the world, space-science missions were not among its priorities until recently. The situation improved in 2011 when the Chinese Academy of Sciences won government support for a 10-year Strategic Pioneering Programme on Space Science—with a total budget of nearly 1 billion dollars. Since then, China has launched satellites to probe dark matter, detect black holes and conduct quantum experiments from space. This year will see the launch of an astronomy satellite and a highly anticipated mission to bring back rocks from the Moon. In a forum chaired by National Science Review's Executive Associate Editor Mu-ming Poo, space scientists discussed different types of Chinese space programmes, the science missions already launched or in development, the importance and challenges of international collaboration, and the uncertain future of the country's space-science development. Chunlai Li Deputy Director, National Astronomical Observatories, Chinese Academy of Sciences, Beijing Ji Wu Director, National Centre of Space Science, Chinese Academy of Sciences, Beijing Jianyu Wang Deputy Director, Chinese Academy of Sciences Shanghai Branch Shuangnan Zhang Institute of High-Energy Physics, Chinese Academy of Sciences, Beijing Yifang Wang Director, Institute of High-Energy Physics, Chinese Academy of Sciences, Beijing Mu-ming Poo (Chair) Director, Institute of Neuroscience, Institute of High-Energy Physics, Chinese Academy of Sciences, Shanghai

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Marshalov, D., J. Ping, W. Li, M. Wang, J. Sun, Yu Bondarenko, M. Vasilyev i E. Yagudina. "3-Way Lunar Radio Ranging Experiment on RT-32 Radio Telescopes". Latvian Journal of Physics and Technical Sciences 57, nr 1-2 (1.04.2020): 22–27. http://dx.doi.org/10.2478/lpts-2020-0003.

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AbstractSince 2017, the Institute of Applied Astronomy of the Russian Academy of Sciences in cooperation with the National Astronomical Observatories of the Chinese Academy of Sciences has been conducting observations of the Chang’E-3 lander carrier wave signal. The paper presents the features of observation scheduling and results of data processing. High-precision phase radar measurements have been obtained with an instrumental error of 1–2 mm. The deviation of residuals in model calculations does not exceed ± 1 cm. The estimates of CE-3 lander position have been obtained with an accuracy of 0.5’’, 7.4 m and 3.2 m in celenocentric cylindrical longitude, Px and Py coordinates, respectively.

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Zhao, Weijie. "Open data for better science". National Science Review 5, nr 4 (7.06.2018): 593–97. http://dx.doi.org/10.1093/nsr/nwy059.

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ABSTRACT The past two decades have seen increasing interests in open data. Many scientists believe that the original research data should be properly organized and opened to the public and researchers throughout the world, and, once the open-data strategies are put into practice, the entire scientific research enterprise could be transformed. Driven by the trend of data sharing many platforms and repositories have been established. Universities, funding agencies and academic journals are also taking an active role in facilitating data sharing. In this forum discussion organized by National Science Review and chaired by Jianhui Li, panelists from diverse backgrounds who have all participated in the development of open data gathered together and talked about the recent progress and future directions of open data. Chenzhou Cui Chief Information Officer of the National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China Xiangdong Fang Professor at Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China Mark Musen Director of the Stanford Center for Biomedical Informatics Research, Stanford University, California, USA Lydia Pintscher Product manager of Wikidata, Wikimedia Deutschland, Berlin, Germany Beth Plale Director of Data to Insight Center, Professor of Informatics and Computing, Indiana University, Bloomington, USA Paul Uhlir Consultant, Information Policy and Management, New York, USA; Formerly Director of the Board on Research Data and Information, National Academy of Sciences, Washington, USA Jianhui Li (Chair) Professor at Computer Network Information Centre, Chinese Academy of Sciences, Beijing, China

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Li, Di, Rendong Nan i Zhichen Pan. "The Five-hundred-meter Aperture Spherical radio Telescope project and its early science opportunities". Proceedings of the International Astronomical Union 8, S291 (sierpień 2012): 325–30. http://dx.doi.org/10.1017/s1743921312024015.

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AbstractThe National Astronomical Observatories, Chinese Academy of Science (NAOC), has started building the largest antenna in the world. Known as FAST, the Five-hundred-meter Aperture Spherical radio Telescope is a Chinese mega-science project funded by the National Development and Reform Commission (NDRC). FAST also represents part of Chinese contribution to the international efforts to build the square kilometer array (SKA). Upon its finishing around September of 2016, FAST will be the most sensitive single-dish radio telescope in the low frequency radio bands between 70 MHz and 3 GHz. The design specifications of FAST, its expected capabilities, and its main scientific aspirations were described in an overview paper by Nan et al. (2011). In this paper, we briefly review the design and the key science goals of FAST, speculate the likely limitations at the initial stages of FAST operation, and discuss the opportunities for astronomical discoveries in the so-called early science phase.

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He, Han, Huaning Wang, Zhanle Du, Xin Huang, Yan Yan, Xinghua Dai, Juan Guo i Jialong Wang. "A brief history of Regional Warning Center China (RWC-China)". History of Geo- and Space Sciences 9, nr 1 (27.03.2018): 41–47. http://dx.doi.org/10.5194/hgss-9-41-2018.

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Abstract. Solar-terrestrial prediction services in China began in 1969 at the Beijing Astronomical Observatory (BAO), Chinese Academy of Sciences (CAS). In 1990, BAO joined the International URSIgram and World Days Service (IUWDS) and started solar-terrestrial data and prediction interchanges with other members of IUWDS. The short-term solar activity prediction service with standard URSIgram codes began in January 1991 at BAO, and forecasts have been issued routinely every weekday from then on. The Regional Warning Center Beijing (RWC-Beijing) of IUWDS was officially approved in China in 1991 and was formally established in February 1992. In 1996, the IUWDS was changed to the current name, the International Space Environment Service (ISES). In 2000, the RWC-Beijing was renamed RWC-China according to ISES requirements. In 2001, the National Astronomical Observatories, CAS (NAOC) was established. All the solar-terrestrial data and prediction services of BAO were taken up by NAOC. The headquarters of RWC-China is located on the campus of NAOC.

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Książki na temat "Chinese Academy of Sciences National Astronomical Observatories"

Chinese Academy of Sciences National Astronomical Observatories. [Description of observatories and observing stations in China]. Beijing: NAOC, 2008.

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Części książek na temat "Chinese Academy of Sciences National Astronomical Observatories"

Cui, Jin, Yifei Zou i Siyuan Zhang. "Using MRNet to Predict Lunar Rock Categories Detected by Chang’e 5 Probe". W Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220491.

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China’s Chang’e 5 mission has been a remarkable success, with the Chang’e 5 lander traveling on the Oceanus Procellarum to collect images of the lunar surface. Over the past half century, people have brought back some lunar rock samples, but its quantity does not meet the need for research. Under current circumstances, people still mainly rely on the analysis of rocks on the lunar surface through the detection of lunar rover. The Oceanus Procellarum, chosen by Chang’e 5 mission, contains various kinds of rock species. Therefore, we first applied to the National Astronomical Observatories of the China under the Chinese Academy of Sciences for the Navigation and Terrain Camera (NaTeCam) of the lunar surface image, and established a lunar surface rock image data set CE5ROCK. The data set contains 100 images, which randomly divided into training, validation and test set. Experimental results show that the identification accuracy testing on convolutional neural network (CNN) models like AlexNet or MobileNet is about to 40.0%. In order to make full use of the global information in Moon images, this paper proposes the MRNet (MoonRockNet) network architecture. The encoding structure of the network uses VGG16 for feature extraction, and the decoding part adds dilated convolution and commonly used U-Net structure on the original VGG16 decoding structure, which is more conducive to identify more refined but more sparsely distributed types of lunar rocks. We have conducted extensive experiments on the established CE5ROCK data set, and the experimental results show that MRNet can achieve more accurate rock type identification, and outperform other existing mainstream algorithms in the identification performance.

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