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Big Data in Astronomy

- Scientific Data Processing for Advanced Radio Telescopes

Om Big Data in Astronomy

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 scienceIncludes coverage of the observation lifecycle as well as data collection, processing and analysisPresents state-of-the-art research and techniques in big data related to radio astronomyUtilizes real-world examples, such as Square Kilometer Array (SKA) and Five-hundred-meter Aperture Spherical radio Telescope (FAST)

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  • Språk:
  • Engelsk
  • ISBN:
  • 9780128190845
  • Bindende:
  • Paperback
  • Sider:
  • 438
  • Utgitt:
  • 16. juni 2020
  • Dimensjoner:
  • 191x235x0 mm.
  • Vekt:
  • 880 g.
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 16. mars 2026

Beskrivelse av Big Data in Astronomy

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 scienceIncludes coverage of the observation lifecycle as well as data collection, processing and analysisPresents state-of-the-art research and techniques in big data related to radio astronomyUtilizes real-world examples, such as Square Kilometer Array (SKA) and Five-hundred-meter Aperture Spherical radio Telescope (FAST)

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