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Data-Intensive Radio Astronomy Bringing Astrophysics to the Exabyte Era /

Radio astronomy is irreversibly moving towards the exabyte era. In the advent of all-sky radio observations, efficient tools and methods to manage the large data volume generated have become imperative. This book brings together the knowledge of several different research fields to present an overvi...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Vardoulaki, Eleni (Editor), Dembska, Marta (Editor), Drabent, Alexander (Editor), Hoeft, Matthias (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edition:1st ed. 2024.
Series:Astrophysics and Space Science Library, 472
Subjects:
Astronomy > Observations.
Astrophysics.
Quantitative research.
Sampling (Statistics).
Computer science.
Astronomy, Observations and Techniques.
Data Analysis and Big Data.
Methodology of Data Collection and Processing.
Computer Science.
Online Access:https://doi.org/10.1007/978-3-031-58468-8
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Table of Contents:
  • Preface
  • Introduction - Concepts and challenges of data-intensive radio astronomy
  • Part 1. DATA CREATION, STORAGE AND ARCHIVES
  • CHAPTER 1: From the data generation to the archive
  • CHAPTER 2: Storage and archives
  • CHAPTER 3: Computing infrastructure
  • Part 2. DATA PROCESSING
  • CHAPTER 4: Challenges of radio data processing (big radio data processing)
  • CHAPTER 5: Implementations for specific radio observatories
  • CHAPTER 6: Co-design and software architecture
  • CHAPTER 7: Lesson learned from SKA pathfinders regarding processing
  • PART 3. POST-PROCESSING AND DATA ANALYSIS
  • CHAPTER 8: Continuum Source extraction and identification
  • CHAPTER 9: Other types of source extraction and identification
  • CHAPTER 10: Using AI for radio (big) data
  • CHAPTER 11: Visualisation for analysis
  • PART 4. DATA ACCESS AND REUSE (accessibility, VR/VO FAIR)
  • CHAPTER 12: Exploitation platforms & Virtual Observatory
  • CHAPTER 14: Data documentation beyond provenance: metadata, Research Data Management (RDM), FAIR
  • Epilogue and future outlook
  • Glossary
  • Index.

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