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101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 10$aData-Intensive Radio Astronomy $eBringing Astrophysics to the Exabyte Era /$fedited by Eleni Vardoulaki, Marta Dembska, Alexander Drabent, Matthias Hoeft
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (461 pages)
225 1 $aAstrophysics and Space Science Library,$x2214-7985 ;$v472
311 08$a9783031584671 
311 08$a3031584678 
327   $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.
330   $aRadio astronomy is irreversibly moving towards the exabyte era. In the advent of all-sky radio observations, efficient tools and methods to manage the large data volume generated have become imperative. This book brings together the knowledge of several different research fields to present an overview of current state-of-the-art methods in data-intensive radio astronomy. Its approach is comprehensive and data-centric, offering a coherent look at the four distinct parts of the data lifecycle: Data creation, storage and archives Data processing Post-processing and data analysis Data access and reuse Large data management has been the topic of discussion within the astronomical community for decades. Some relevant areas explored in this volume are: ongoing technological innovations in interferometers and computing facilities; difficulties and possible solutions for the huge processing demands of radiotelescope projects such as LOFAR, MeerKat, ASKAP; concepts for reliable and fast storage for archiving; and more. Written by experts across astrophysics, high-energy particle physics, data science, and computer science, this volume will help researchers and advanced students better understand the current state of data-intensive radio astronomy and tackle the major problems that may arise from future instruments.
410  0$aAstrophysics and Space Science Library,$x2214-7985 ;$v472
606   $aAstronomy$xObservations
606   $aAstrophysics
606   $aQuantitative research
606   $aSampling (Statistics)
606   $aComputer science
606   $aAstronomy, Observations and Techniques
606   $aAstrophysics
606   $aData Analysis and Big Data
606   $aMethodology of Data Collection and Processing
606   $aComputer Science
615  0$aAstronomy$xObservations.
615  0$aAstrophysics.
615  0$aQuantitative research.
615  0$aSampling (Statistics).
615  0$aComputer science.
615 14$aAstronomy, Observations and Techniques.
615 24$aAstrophysics.
615 24$aData Analysis and Big Data.
615 24$aMethodology of Data Collection and Processing.
615 24$aComputer Science.
676   $a522.682
700   $aVardoulaki$b Eleni$01775170
701   $aDembska$b Marta$01775171
701   $aDrabent$b Alexander$01775172
701   $aHoeft$b Matthias$01775173
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910906300603321
996   $aData-Intensive Radio Astronomy$94289578
997   $aUNINA