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Titlebook: Data-Intensive Radio Astronomy; Bringing Astrophysic Eleni Vardoulaki,Marta Dembska,Matthias Hoeft Book 2024 The Editor(s) (if applicable)

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发表于 2025-3-21 20:03:45 | 显示全部楼层 |阅读模式
书目名称Data-Intensive Radio Astronomy
副标题Bringing Astrophysic
编辑Eleni Vardoulaki,Marta Dembska,Matthias Hoeft
视频video
概述A comprehensive overview of data-intensive radio astronomy.Written by experts across astrophysics, high-energy particle physics, data science, and computer science.Follows the data lifecycle to presen
丛书名称Astrophysics and Space Science Library
图书封面Titlebook: Data-Intensive Radio Astronomy; Bringing Astrophysic Eleni Vardoulaki,Marta Dembska,Matthias Hoeft Book 2024 The Editor(s) (if applicable)
描述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 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 bette
出版日期Book 2024
关键词astronomy data lifecycle; astronomy processing pipelines; astronomy archives and storage; astronomy dat
版次1
doihttps://doi.org/10.1007/978-3-031-58468-8
isbn_softcover978-3-031-58470-1
isbn_ebook978-3-031-58468-8Series ISSN 0067-0057 Series E-ISSN 2214-7985
issn_series 0067-0057
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Astrophysics and Space Science Libraryhttp://image.papertrans.cn/e/image/284466.jpg
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Introduction,nd give a short introduction to radio astronomy. Additionally, we present current and upcoming radio observatories around the world and their specifications. Finally, we introduce the concept of data-intensive radio astronomy and of the data lifecycle.
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nd give a short introduction to radio astronomy. Additionally, we present current and upcoming radio observatories around the world and their specifications. Finally, we introduce the concept of data-intensive radio astronomy and of the data lifecycle.
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Prediction and Tolerance Intervals,duction and the storage of derived data products. We discuss dynamic filtering and dynamic archiving that can be applied to reduce the amount of data to be stored to acceptable proportions. The use of parallelisation for processing is then discussed. We continue with reflections on the needs for rep
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le, in particular with respect to High Performance Computing (HPC) systems. This chapter discusses the most recent advances in this area. Firstly, we address a new type of computing facilities, based on combining both CPUs and accelerators as GPUs and FPGAs into heterogeneous HPC systems. Secondly,
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those data products. In this chapter, we briefly describe the origins and behaviour of several different computational challenges in radio astronomy. We start with the causes of the scaling towards ever larger data volumes, discuss the software landscape in radio astronomy, and give an overview of
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