Big Data in Astronomy: Scientific Data Processing for Advanced Radio Telescopes

Author:   Linghe Kong (Research Professor, Shanghai Jiao Tong University, China) ,  Tian Huang (Research Associate, Astrophysics Group, University of Cambridge, UK) ,  Yongxin Zhu (Professor, Shanghai Advanced Research Institute, Chinese Academy of Sciences, China) ,  Shenghua Yu (Associate Professor, National Astronomical Observatories, Chinese Academy of Sciences, China)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780128190845


Pages:   438
Publication Date:   16 June 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Big Data in Astronomy: Scientific Data Processing for Advanced Radio Telescopes


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Overview

Big Data in Radio Astronomy: Scientific Data Processing for Advanced Radio Telescopes provides the latest research developments in big data methods and techniques for radio astronomy. Providing examples from such projects as the Square Kilometer Array (SKA), the world’s largest radio telescope that generates over an Exabyte of data every day, the book offers solutions for coping with the challenges and opportunities presented by the exponential growth of astronomical data. Presenting state-of-the-art results and research, this book is a timely reference for both practitioners and researchers working in radio astronomy, as well as students looking for a basic understanding of big data in astronomy.

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Author:   Linghe Kong (Research Professor, Shanghai Jiao Tong University, China) ,  Tian Huang (Research Associate, Astrophysics Group, University of Cambridge, UK) ,  Yongxin Zhu (Professor, Shanghai Advanced Research Institute, Chinese Academy of Sciences, China) ,  Shenghua Yu (Associate Professor, National Astronomical Observatories, Chinese Academy of Sciences, China)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Elsevier Science Publishing Co Inc
Weight:   0.880kg
ISBN:  

9780128190845


ISBN 10:   0128190841
Pages:   438
Publication Date:   16 June 2020
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Part A: Fundamentals Chapter 1: Introduction of Radio Astronomy Chapter 2: Fundamentals of Big Data in Radio Astronomy Part B: Big Data Processing Chapter 3: Pre-processing Pipeline on FPGA Chapter 4: Real-time stream processing in radio astronomy Chapter 5: Digitization, Channelization and Packeting Chapter 6: Processing Data of Correlation on GPU Chapter 7: Data Calibration for single dish radio telescope Chapter 8: Imaging Algorithm Optimization for Scale-out Processing Part C: Computing Technologies Chapter 9: Execution Framework Technology Chapter 10: Application Design For Execution Framework Chapter 11: Heterogeneous Computing Platform for Backend Computing Tasks Chapter 12: High Performance Computing for Astronomical Big Data Chapter 13: Spark and Dask Performance Analysis Based on ARL Image Library Chapter 14: Applications of Artificial Intelligence in Astrnomical Big Data Part D: Future Developments Chapter 15: Mapping the Universe with 21cm Observations

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Author Information

Linghe Kong is currently a Research Professor in Department of Computer Science and Engineering at Shanghai Jiao Tong University and an engineer in the scientific data processing group in SKA China. Before that, he was a postdoctoral researcher at Columbia University and McGill University. He received his Ph.D. degree from Shanghai Jiao Tong University, China, his Masters degree from TELECOM SudParis, France, and his B. E. degree from Xidian University, China. His research interests include big data, Internet of things, and mobile computing systems. He has published more than 60 papers in refereed journals and conferences, such as ACM MobiCom, IEEE INFOCOM, IEEE RTSS, IEEE ICDCS, IEEE TMC, and IEEE TPDS. He serves on the editorial boards of several journals including Springer Telecommunication Systems and KSII Transactions on Internet and Information Systems. He organized several special issues such as in IEEE Communications Magazine and in the Computer Journal. He is a senior member of IEEE. Tian Huang is Research Associate of the Astrophysics Group, Cavendish Lab, University of Cambridge. He takes part in multiple radio telescope array projects and mainly focuses on data preprocessing and quality metrics. In March 2016, he graduated from the School of Microelectronics at Shanghai Jiao Tong University, where he completed his PhD thesis. His main research interest is Data Mining for time series, including time series big data indexing, anomaly detecting, and computer architecture for time series data mining and statistical models for time series data. He has published 9 SCI journal and 18 EI conference papers. He has rich experience on software and hardware co-designing. Yongxin Zhu is a full Professor at Shanghai Advanced Research Institute, Chinese Academy of Sciences (CAS). He is also an Adjunct Professor with the School of Microelectronics at the Shanghai Jiao Tong University (SJTU). He is currently the technical leader of Chinese Consortium of Science Data Processor (SDP) for Square Kilometre Array Telescope. He has published over 130 English journal and conference papers, 40 Chinese journal papers and 20 China patent approvals in the areas of computer architecture, embedded systems, and big data processing. With around 1,000 citations of these works in recent years, he has received recognition in China and Asia with IEEE best paper award, Shanghai innovation award, SJTU Annual Outstanding Teacher Award and Bilingual Teaching Award. To date, he has received around 20 million RMB in grants from various funding agencies and industrial partners in China. Prior to his tenure with CAS and SJTU, he worked as a research fellow with the National University of Singapore in 2002-2005, a senior consultant with S1 Incorporation (inventor of the 1st Internet banking in the world) in 1999-2002 and a teaching assistant with the Department of Computer Science and Engineering, SJTU in 1994-1995. He is a guest editor of Journal of Systems Architecture, senior member of IEEE and China Computer Federation (CCF). He has been also a Visiting Professor with National University of Singapore since 2013. Shenghua Yu is an Associate Professor at National Astronomical Observatories, Chinese Academy of Sciences (CAS). He received his PhD degree in astrophysics from Queen’s University of Belfast in 2012, and worked as a post-doc fellow at University of Western Australia in 2014-2015. His main research interests include gravitational wave astrophysics and astronomy, double compact objects, radio emission from ultracool dwarfs and radiation mechanisms. He has published ~13 SCI journal papers, 3 Chinese journal and conference papers, 2 China patent approvals, and 3 China computer software copyrights in the research areas.

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