Big Data in Astronomy: Scientific Data Processing for Advanced Radio Telescopes

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) INDICE: Part A: Fundamentals and Challenges 1. Fundamentals of Big Data in Radio Astronomy 2. Challenges of Big Data in Radio Astronomy Part B: Signal Pre-processing 3. Pre-processing Pipeline 4. Pipeline Implementation Part C: Data Recording 5. Data Reduction and Re-distribution 6. Correlation 7. Recording Pipeline Part D: Data Calibration and Cleaning 8. Off-line and Online Calibration 9. Calibration Quality Monitoring 10. Antenna Quality Monitoring 11. RFI Detection and Mitigation Part F: Imaging and Non-Imaging 12. Classic Imaging Pipelines 13. Classic Non-Imaging Pipelines 14. Limitations of Classic Pipelines to Process Astronomical Big Data Part G: Scale-out Processing 15. Heterogeneous Computing Platform for Accelerating 16. Imaging Algorithm Optimization for Scale-out Processing 17. Applications of Artificial Intelligence in Non-Imaging Algorithms for Scale-out Processing 18. High Performance Computing for Astronomical Big Data Part H: Evolving Digital Infrastructures over an Extended Telescope Lifetime 19. Operational Concepts 20. Processing and Data Transport 21. Storage, Data Archiving and Dissemination 22. Non-conventional solutions

• ISBN: 978-0-12-819084-5
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 475
• Fecha Publicación: 01/06/2020
• Nº Volúmenes: 1
• Idioma: Inglés