國立高雄大學圖資館 |

登入

回首頁

Data-intensive radio astronomybringing astrophysics to the exabyte era /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data-intensive radio astronomyedited by Eleni Vardoulaki ... [et al.].
其他題名:	bringing astrophysics to the exabyte era /
其他作者:	Vardoulaki, Eleni.
出版者:	Cham :Springer Nature Switzerland :2024.
面頁冊數:	xv, 458 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Radio astronomy.
電子資源:	https://doi.org/10.1007/978-3-031-58468-8
ISBN:	9783031584688$q(electronic bk.)

Data-intensive radio astronomybringing astrophysics to the exabyte era /
Data-intensive radio astronomybringing astrophysics to the exabyte era /[electronic resource] :edited by Eleni Vardoulaki ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xv, 458 p. :ill. (chiefly color), digital ;24 cm. - Astrophysics and space science library,v. 4722214-7985 ;. - Astrophysics and space science library ;379..

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 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.

ISBN: 9783031584688$q(electronic bk.)

Standard No.: 10.1007/978-3-031-58468-8doiSubjects--Topical Terms:

338267
Radio astronomy.

LC Class. No.: QB476.5

Dewey Class. No.: 522.682

Data-intensive radio astronomybringing astrophysics to the exabyte era /
LDR:03509nmm a2200337 a 4500 001 672335
003 DE-He213
005 20241108115823.0
006 m d
007 cr nn 008maaau
008 250325s2024 sz s 0 eng d
020 $a 9783031584688$q(electronic bk.)
020 $a 9783031584671$q(paper)
024 7 $a 10.1007/978-3-031-58468-8 $2 doi
035 $a 978-3-031-58468-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QB476.5
072 7 $a PGG $2 bicssc
072 7 $a SCI004000 $2 bisacsh
072 7 $a PGG $2 thema
082 0 4 $a 522.682 $2 23
090 $a QB476.5 $b .D232 2024
245 0 0 $a Data-intensive radio astronomy $h [electronic resource] : $b bringing astrophysics to the exabyte era / $c edited by Eleni Vardoulaki ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xv, 458 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Astrophysics and space science library, $x 2214-7985 ; $v v. 472
505 0 $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.
520 $a 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 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 $a Radio astronomy. $3 338267
650 1 4 $a Astronomy, Observations and Techniques. $3 376735
650 2 4 $a Astrophysics. $3 225419
650 2 4 $a Data Analysis and Big Data. $3 913147
650 2 4 $a Methodology of Data Collection and Processing. $3 921586
650 2 4 $a Computer Science. $3 212513
700 1 $a Vardoulaki, Eleni. $3 985625
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Astrophysics and space science library ; $v 379. $3 557835
856 4 0 $u https://doi.org/10.1007/978-3-031-58468-8
950 $a Physics and Astronomy (SpringerNature-11651)