Data-Intensive Radio Astronomy: Bringing Astrophysics to the Exabyte Era (Astrophysics and Space Science Library #472)
By: and and and
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- Synopsis
- 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 archivesData processingPost-processing and data analysisData access and reuse Large 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.
- Copyright:
- 2024
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783031584688
- Related ISBNs:
- 9783031584671
- Publisher:
- Springer Nature Switzerland
- Date of Addition:
- 12/09/24
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Science, Computers and Internet, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Eleni Vardoulaki
- Edited by:
- Marta Dembska
- Edited by:
- Alexander Drabent
- Edited by:
- Matthias Hoeft
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- by Marta Dembska
- by Alexander Drabent
- by Matthias Hoeft
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- in Computers and Internet
- in Mathematics and Statistics