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 overvie...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
2024
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| Ausgabe: | 2024 |
| Schriftenreihe: | Astrophysics and Space Science Library
472 |
| Schlagworte: | |
| Zusammenfassung: | 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 overview of current state-of-the-art methods in data-intensive radio astronomy. Its approach is comprehensive and data-centric, offering a coherent look at the four distinct parts of the data lifecycle:- Data creation, storage and archives- Data processing- Post-processing and data analysis- Data access and reuseLarge data management has been the topic of discussion within the astronomical community for decades. Some relevant areas explored in this volume are: ongoing technological innovations in interferometers and computing facilities; difficulties and possible solutions for the huge processing demands of radio telescope projects such as LOFAR, MeerKat, ASKAP; concepts for reliable and fast storage for archiving; and more. Written by experts across astrophysics, high-energy particle physics, data science, and computer science, this volume will help researchers and advanced students better understand the current state of data-intensive radio astronomy and tackle the major problems that may arise from future instruments |
| Beschreibung: | XXI, 489 p. 100 illus., 50 illus. in color. - 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 overview of current state-of-the-art methods in data-intensive radio astronomy. Its approach is comprehensive and data-centric, offering a coherent look at the four distinct parts of the data lifecycle:- Data creation, storage and archives- Data processing- Post-processing and data analysis- Data access and reuseLarge data management has been the topic of discussion within the astronomical community for decades. Some relevant areas explored in this volume are: ongoing technological innovations in interferometers and computing facilities; difficulties and possible solutions for the huge processing demands of radiotelescope projects such as LOFAR, MeerKat, ASKAP; concepts for reliable and fast storage for archiving; and more.Written by experts across astrophysics, high-energy particle physics, data science, and computer science, this volume will help researchers and advanced students better understand the current state of data-intensive radio astronomy and tackle the major problems that may arise from future instruments 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. |
| Beschreibung: | 458 Seiten 235 mm |
| ISBN: | 9783031584671 |
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| 500 | |a XXI, 489 p. 100 illus., 50 illus. in color. - 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 overview of current state-of-the-art methods in data-intensive radio astronomy. Its approach is comprehensive and data-centric, offering a coherent look at the four distinct parts of the data lifecycle:- Data creation, storage and archives- Data processing- Post-processing and data analysis- Data access and reuseLarge data management has been the topic of discussion within the astronomical community for decades. Some relevant areas explored in this volume are: ongoing technological innovations in interferometers and computing facilities; difficulties and possible solutions for the huge processing demands of radiotelescope projects such as LOFAR, MeerKat, ASKAP; concepts for reliable and fast storage for archiving; and more.Written by experts across astrophysics, high-energy particle physics, data science, and computer science, this volume will help researchers and advanced students better understand the current state of data-intensive radio astronomy and tackle the major problems that may arise from future instruments | ||
| 500 | |a 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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| spelling | Vardoulaki, Eleni Verfasser aut Data-Intensive Radio Astronomy Bringing Astrophysics to the Exabyte Era 2024 Cham Springer 2024 458 Seiten 235 mm txt rdacontent n rdamedia nc rdacarrier Astrophysics and Space Science Library 472 XXI, 489 p. 100 illus., 50 illus. in color. - 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 overview of current state-of-the-art methods in data-intensive radio astronomy. Its approach is comprehensive and data-centric, offering a coherent look at the four distinct parts of the data lifecycle:- Data creation, storage and archives- Data processing- Post-processing and data analysis- Data access and reuseLarge data management has been the topic of discussion within the astronomical community for decades. Some relevant areas explored in this volume are: ongoing technological innovations in interferometers and computing facilities; difficulties and possible solutions for the huge processing demands of radiotelescope projects such as LOFAR, MeerKat, ASKAP; concepts for reliable and fast storage for archiving; and more.Written by experts across astrophysics, high-energy particle physics, data science, and computer science, this volume will help researchers and advanced students better understand the current state of data-intensive radio astronomy and tackle the major problems that may arise from future instruments 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. 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 overview of current state-of-the-art methods in data-intensive radio astronomy. Its approach is comprehensive and data-centric, offering a coherent look at the four distinct parts of the data lifecycle:- Data creation, storage and archives- Data processing- Post-processing and data analysis- Data access and reuseLarge data management has been the topic of discussion within the astronomical community for decades. Some relevant areas explored in this volume are: ongoing technological innovations in interferometers and computing facilities; difficulties and possible solutions for the huge processing demands of radio telescope projects such as LOFAR, MeerKat, ASKAP; concepts for reliable and fast storage for archiving; and more. Written by experts across astrophysics, high-energy particle physics, data science, and computer science, this volume will help researchers and advanced students better understand the current state of data-intensive radio astronomy and tackle the major problems that may arise from future instruments bicssc bisacsh Astrophysics Quantitative research Sampling (Statistics) Computer science Astronomy—Observations Hardcover, Softcover / Physik, Astronomie/Astronomie Dembska, Marta Sonstige oth Drabent, Alexander Sonstige oth Hoeft, Matthias Sonstige oth |
| spellingShingle | Vardoulaki, Eleni Data-Intensive Radio Astronomy Bringing Astrophysics to the Exabyte Era bicssc bisacsh Astrophysics Quantitative research Sampling (Statistics) Computer science Astronomy—Observations |
| title | Data-Intensive Radio Astronomy Bringing Astrophysics to the Exabyte Era |
| title_auth | Data-Intensive Radio Astronomy Bringing Astrophysics to the Exabyte Era |
| title_exact_search | Data-Intensive Radio Astronomy Bringing Astrophysics to the Exabyte Era |
| title_full | Data-Intensive Radio Astronomy Bringing Astrophysics to the Exabyte Era |
| title_fullStr | Data-Intensive Radio Astronomy Bringing Astrophysics to the Exabyte Era |
| title_full_unstemmed | Data-Intensive Radio Astronomy Bringing Astrophysics to the Exabyte Era |
| title_short | Data-Intensive Radio Astronomy |
| title_sort | data intensive radio astronomy bringing astrophysics to the exabyte era |
| title_sub | Bringing Astrophysics to the Exabyte Era |
| topic | bicssc bisacsh Astrophysics Quantitative research Sampling (Statistics) Computer science Astronomy—Observations |
| topic_facet | bicssc bisacsh Astrophysics Quantitative research Sampling (Statistics) Computer science Astronomy—Observations |
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