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Astronomical data fusion tool based on PostgreSQL 被引量:2
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作者 Bo Han Yan-Xia Zhang +1 位作者 Shou-Bo Zhong Yong-Heng Zhao 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2016年第11期105-112,共8页
With the application of advanced astronomical technologies, equipments and methods all over the world, astronomical observations cover the range from radio, infrared, visible light, ultraviolet, X-ray and gamma-ray ba... With the application of advanced astronomical technologies, equipments and methods all over the world, astronomical observations cover the range from radio, infrared, visible light, ultraviolet, X-ray and gamma-ray bands, and enter into the era of full wavelength astronomy. How to effectively integrate data from different ground- and space-based observation equipments, different observers, different bands and different observation times, requires data fusion technology. In this paper we introduce a cross-match tool that is developed in the Python language, is based on the PostgreSQL database and uses Q3C as the core index, facilitating the cross-match work of massive astronomical data. It provides four different cross- match functions, namely: (I) cross-match of the custom error range; (II) cross-match of catalog errors; (III) cross-match based on the elliptic error range; (IV) cross-match of the nearest neighbor algorithm. The resulting cross-matched set provides a good foundation for subsequent data mining and statistics based on multiwavelength data. The most advantageous aspect of this tool is a user-oriented tool applied locally by users. By means of this tool, users can easily create their own databases, manage their own data and cross- match databases according to their requirements. In addition, this tool is also able to transfer data from one database into another database. More importantly, it is easy to get started with the tool and it can be used by astronomers without writing any code. 展开更多
关键词 astronomical databases miscellaneous - catalogs - surveys
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A GPU based single-pulse search pipeline(GSP)with database and its application to the Commensal Radio Astronomy FAST Survey(CRAFTS) 被引量:1
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作者 Shan-Ping You Pei Wang +8 位作者 Xu-Hong Yu Xiao-Yao Xie Di Li Zhi-Jie Liu Zhi-Chen Pan You-Ling Yue Lei Qian Bin Zhang Zong-Hao Chen 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2021年第12期488-498,共11页
We developed a GPU based single-pulse search pipeline(GSP)with a candidate-archiving database.Largely based upon the infrastructure of the open source PulsaR Exploration and Search Toolkit(PRESTO),GSP implements GPU a... We developed a GPU based single-pulse search pipeline(GSP)with a candidate-archiving database.Largely based upon the infrastructure of the open source PulsaR Exploration and Search Toolkit(PRESTO),GSP implements GPU acceleration of the de-dispersion and integrates a candidate-archiving database.We applied GSP to the data streams from the Commensal Radio Astronomy FAST Survey(CRAFTS),which resulted in quasi-real-time processing.The integrated candidate database facilitates synergistic usage of multiple machine-learning tools and thus improves efficient identification of radio pulsars such as rotating radio transients(RRATs)and fast radio bursts(FRBs).We first tested GSP on pilot CRAFTS observations with the FAST Ultra-Wide Band(UWB)receiver.GSP detected all pulsars known from the the Parkes multibeam pulsar survey in the corresponding sky area covered by the FAST-UWB.GSP also discovered 13 new pulsars.We measured the computational efficiency of GSP to be~120 times faster than the original PRESTO and~60 times faster than an MPI-parallelized version of PRESTO. 展开更多
关键词 methods:data analysis pulsars:general surveys:astronomical databases
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NUV Star Catalog from the Lunar-based Ultraviolet Telescope Survey: First Release 被引量:1
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作者 Xian-Min Meng Xu-Hui Han +7 位作者 Jian-Yan Wei Jing Wang Li Cao Yu-Lei Qiu Chao Wu Jin-Song Deng Hong-Bo Cai Li-Ping Xin 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2016年第11期29-36,共8页
We present a star catalog extracted from the Lunar-based Ultraviolet Telescope (LUT) survey program. LUT's observable sky area is a circular belt around the Moon's north pole, and the survey program covers a prefe... We present a star catalog extracted from the Lunar-based Ultraviolet Telescope (LUT) survey program. LUT's observable sky area is a circular belt around the Moon's north pole, and the survey program covers a preferred area of about 2400 deg2 which includes a region of the Galactic plane. The data are processed with an automatic pipeline which copes with stray light contamination, artificial sources, cosmic rays, flat field calibration, photometry and so on. In the first release version, the catalog provides high confidence sources which have been cross-identified with the Tycho-2 catalog. All the sources have signalto-noise ratio larger than 5, and the corresponding magnitude limit is typically 14.4 mag, but can be as deep as -16 mag if stray light contamination is at the lowest level. A total of 86 467 stars are recorded in the catalog. The full catalog in electronic form is available online. 展开更多
关键词 astronomical databases surveys -- astronomical databases catalogs -- techniques: imageprocessing -- techniques: photometric -- ultraviolet: stars
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