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Status and progress of China SKA Regional Centre prototype 被引量:2
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作者 Tao An Xiaocong Wu +5 位作者 Baoqiang Lao Shaoguang Guo Zhijun Xu weijia lv Yingkang Zhang Zhongli Zhang 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS CSCD 2022年第12期72-90,共19页
The Square Kilometre Array(SKA)project consists of delivering two largest radio telescope arrays being built by the SKA Observatory(SKAO),which is an intergovernmental organization bringing together nations from aroun... The Square Kilometre Array(SKA)project consists of delivering two largest radio telescope arrays being built by the SKA Observatory(SKAO),which is an intergovernmental organization bringing together nations from around the world with China being one of the major member countries.The computing resources needed to process,distribute,curate and use the vast amount of data that will be generated by the SKA telescopes are too large for the SKAO to manage on its own.To address this challenge,the SKAO is working with the international community to create a shared,distributed data,computing and networking capability called the SKA Regional Centre Alliance.In this model,the SKAO will be supported by a global network of SKA Regional Centres(SRCs)distributed around the world in its member countries to build an end-to-end science data system that will provide astronomers with high-quality science products.SRCs undertake deep processing,scientific analysis,and long-term storage of the SKA data,as well as user support.China has been actively participating in and promoting the construction of SRCs.This paper introduces the international cooperation and ongoing prototyping of the global SRC network,the basis for the construction of the China SRC and describes in detail the progress of the China SRC prototype.The paper also presents examples of scientific applications of SKA precursor and pathfinder telescopes performed using resources from the China SRC prototype.Finally,the future prospects of the China SRC are presented. 展开更多
关键词 Square Kilometre Array SKA Regional Centre radio astronomy science pipeline
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Artificial intelligence for celestial object census:the latest technology meets the oldest science
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作者 Baoqiang Lao Tao An +5 位作者 Ailing Wang Zhijun Xu Shaoguang Guo weijia lv Xiaocong Wu Yingkang Zhang 《Science Bulletin》 SCIE EI CSCD 2021年第21期2145-2147,M0003,共4页
Astronomy is the oldest natural science based on observation,and a census of objects in the sky map to create a catalog is the basis for further research.This effort is achieved through astronomical object detection,a... Astronomy is the oldest natural science based on observation,and a census of objects in the sky map to create a catalog is the basis for further research.This effort is achieved through astronomical object detection,also known as"source finding",which aims to identify individual objects in an astronomical image and then retrieve the properties of those objects to form a catalog.The completeness,reliability,and accuracy of the resulting catalog has a profound impact on astrophysical research. 展开更多
关键词 人工智能 INDIVIDUAL IMAGE
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