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020 _a9783031584688
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024 7 _a10.1007/978-3-031-58468-8
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072 7 _aPGG
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072 7 _aSCI004000
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245 1 0 _aData-Intensive Radio Astronomy
_h[electronic resource] :
_bBringing Astrophysics to the Exabyte Era /
_cedited by Eleni Vardoulaki, Marta Dembska, Alexander Drabent, Matthias Hoeft.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXV, 458 p. 72 illus., 66 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aAstrophysics and Space Science Library,
_x2214-7985 ;
_v472
505 0 _aPreface -- 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.
520 _aRadio 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 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.
650 0 _aAstronomy
_xObservations.
_967976
650 0 _aAstrophysics.
_968037
650 0 _aQuantitative research.
650 0 _aSampling (Statistics).
_959805
650 0 _aComputer science.
_958552
650 1 4 _aAstronomy, Observations and Techniques.
_967977
650 2 4 _aAstrophysics.
_968037
650 2 4 _aData Analysis and Big Data.
650 2 4 _aMethodology of Data Collection and Processing.
_965946
650 2 4 _aComputer Science.
_958552
700 1 _aVardoulaki, Eleni.
_eeditor.
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700 1 _aDembska, Marta.
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700 1 _aDrabent, Alexander.
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700 1 _aHoeft, Matthias.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aAstrophysics and Space Science Library,
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856 4 0 _uhttps://doi.org/10.1007/978-3-031-58468-8
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