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Big Data in Radio Astronomy: Scientific Data Processing for Advanced Radio Telescopes provides the latest research developments in big data methods and techniques for radio astronomy. Providing examples from such projects as the Square Kilometer Array (SKA), the world’s largest radio telescope that generates over an Exabyte of data every day, the book offers solutions for coping with the challenges and opportunities presented by the exponential growth of astronomical data. Presenting state-of-the-art results and research, this book is a timely reference for both practitioners and researchers working in radio astronomy, as well as students looking for a basic understanding of big data in astronomy.
Bridges the gap between radio astronomy and computer science
Includes coverage of the observation lifecycle as well as data collection, processing and analysis
Presents state-of-the-art research and techniques in big data related to radio astronomy
Utilizes real-world examples, such as Square Kilometer Array (SKA) and Five-hundred-meter Aperture Spherical radio Telescope (FAST)
This is a digital product.
Big Data in Astronomy: Scientific Data Processing for Advanced Radio Telescopes 1st Edition is written by Linghe Kong; Tian Huang; Yongxin Zhu and published by Elsevier (S&T). The Digital and eTextbook ISBNs for Big Data in Astronomy are 9780128190852, 012819085X and the print ISBNs are 9780128190845, 0128190841.

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