Advances in Astronomy

Astronomical Massive Data Processing Technology


Publishing date
01 Aug 2019
Status
Published
Submission deadline
15 Mar 2019

Lead Editor

1Guangzhou University, Guangzhou, China

2Big Bear Solar Observatory, Big Bear, USA

3Padova University, Padova, Italy

4National Astronomical Observatory, Beijing, China


Astronomical Massive Data Processing Technology

Description

Astronomy has become one of the biggest consumers of computing resources in the past 10 years. Therefore, new computational solutions (both hardware and software) are emerging, dedicated to the various fields of science. For example, in radio astronomy, instruments are becoming extremely large, much like the Square Kilometre Array (SKA) and its precursor telescopes. Comprising of thousands of antennas, these radio telescopes generate huge amounts of data that have to be analyzed in a timely manner. As a result, large-scale systems (both distributed and centralized) are employed for data gathering, filtering, analysis, and imaging.

Thus, it is expected that astronomical experiments will become larger in all dimensions: larger data collections, more accurate data analysis and processing, and more detailed results (i.e., imaging). The significant increase of these large-size experiments performed by instruments built around the world requires not only huge processing power, but also clever system design, all the way from hardware construction to software development and deployment.

This special issue is dedicated to fully explore the data analysis and processing technology for astronomical data, as well as relevant astrophysical studies including data processing approaches or techniques. We also hope to attract original research articles as well as review articles which describe current research on technology in the field of massive data processing.

Potential topics include but are not limited to the following:

  • Generic study of astronomical massive data processing
  • Algorithm and new technology for astronomical massive data processing
  • High performance computing /cloud computing/distributed computing for astronomical data processing
  • Massive data storage and relevant technology
  • Astronomical instruments and relevant technology

Articles

  • Special Issue
  • - Volume 2020
  • - Article ID 6848935
  • - Editorial

Astronomical Massive Data Processing Technology

Feng Wang | Wenda Cao | ... | Chenzhou Cui
  • Special Issue
  • - Volume 2019
  • - Article ID 6582104
  • - Research Article

A CME Automatic Detection Method Based on Adaptive Background Learning Technology

Zhenping Qiang | Xianyong Bai | ... | Hong Lin
  • Special Issue
  • - Volume 2019
  • - Article ID 2397536
  • - Research Article

Extracting Filaments Based on Morphology Components Analysis from Radio Astronomical Images

M. Zhu | W. Liu | ... | F. Q. Duan
  • Special Issue
  • - Volume 2019
  • - Article ID 8087405
  • - Research Article

A New Image Restoration Method for MUSER

Wei Wang | Yihua Yan
  • Special Issue
  • - Volume 2019
  • - Article ID 8741027
  • - Research Article

Design and Implementation of Xinjiang Astronomical Observatory Astronomical Data Transmission Visualization System

Xinchen Ye | Hailong Zhang | ... | Huijuan Li
  • Special Issue
  • - Volume 2019
  • - Article ID 9538061
  • - Research Article

Rain Attenuation Study at Ku-Band over Earth-Space Path in South Korea

Sujan Shrestha | Dong-You Choi
  • Special Issue
  • - Volume 2019
  • - Article ID 5712682
  • - Research Article

The XinJiang Astronomical Observatory NSRT Pulsar Data Archive

Hailong Zhang | Markus Demleitner | ... | Jianping Yuan
Advances in Astronomy
 Journal metrics
Acceptance rate26%
Submission to final decision37 days
Acceptance to publication63 days
CiteScore2.800
Impact Factor2.353
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