Call for Book Chapter
Big Data in Astronomy: Scientific Data Processing for Advanced Radio Telescopes
Introduction
In recent years, radio astronomy is experiencing the accelerating explosion of data. Modern telescopes can image enormous portions of the sky. For example, the Square Kilometer Array (SKA), which is the world’s largest radio telescope, generates over an Exabyte of data every day. To cope with the challenges and opportunities offered by the exponential growth of astronomical data, the new disciplines and technologies are emerging. For example, in China, the fastest supercomputer, Sunway TaihuLight, is used to undertake the processing task of big data in radio astronomy.
Since the big data era poses many new challenges in astronomy, we should think about a series of problems: How to process, record, calibrate, and flag the astronomical big data; How to optimize and accelerate the algorithms to process the data; How to extract knowledge from big data, and so on.
This book aims to provide latest research developments and results in the areas of Big Data in Astronomy. It presents insights into big data processing related architectures, designs, models for astronomical applications. This book will be a valuable resource for students, researchers, engineers, policy makers working in various areas related to big data in astronomy.
Topics of interest include, but are not limited to, the following:
• Fundamentals of Radio Interferometry and Modern Radio Astronomy
• Data Life-cycle of Big Data in Radio Astronomy
• Advanced Radio Telescope and Big Data
• Signal Processing for Big Data in Astronomy
• Pulsar Timing and Pulsar Search
• Pipeline Implementation in Astronomical Big Data
• Data Reduction and Re-distribution in Astronomical Big Data
• Correlation in Astronomical Big Data
• Calibration in Astronomical Big Data
• Quality Monitoring in Astronomical Big Data
• Imaging Algorithm Optimization for Scale-out Processing
• High Performance Computing Architecture for Astronomical Big Data
• Distributed Storage and Data Archiving
• Emerging Network Technologies for Astronomical Big Data
• Programming and Software Tailored to Astronomical Big Data
• Artificial Intelligence for Big Data in Astronomy
• Open Problems and Future Directions
Editors
Linghe Kong
Shanghai Jiao Tong University, China
Email: linghe.kong@sjtu.edu.cn
Tian Huang
University of Cambridge, UK
Email: th523@cam.ac.uk
Yongxin Zhu
Shanghai Advanced Research Institute, Chinese Academy of Sciences, China
Email: zhuyongxin@sari.ac.cn
Chris Broekema
Netherlands Institute for Radio Astronomy, Netherlands
Email: broekema@astron.nl
Shenghua Yu
National Astronomical Observatories, Chinese Academy of Sciences, China
Email: shenghuayu@bao.ac.cn
Important Dates
Chapter Proposal Submission: January 1, 2019
Chapter Proposal Notification: February 15, 2019
Full Chapter Submission: June 1, 2019
Review Results Returned: July 15, 2019
Final Chapter Submission: September 1, 2019
Submission Guidelines
Prospective chapter authors are required to submit the proposal and chapter to the link： https://easychair.org/conferences/?conf=bigdataastronomy2019.
Chapter proposal: 1-2 pages including chapter title, author list, chapter organization, and introduction.
Full chapter: there is no page limitation, but we suggestion 15-30 page. Hands-on examples, codes, and data sets as supplementary materials are strongly recommended.
Click here to download Tex/MS Word templates.