Special Issue "New Discoveries in Astronomical Data"
Deadline for manuscript submissions: 30 September 2023 | Viewed by 2691
Interests: astroinformatics and astrostatistics
With the increase in astronomical data from ground- and space-based telescopes (e.g., SDSS, LAMOST, ZTF, Pan-STARRS, FAST, WISE, GAIA, JWST), astronomy enters a big data era. It is a great challenge for astronomers to handle and analyze such big data due to the complexity, heterogeneities, high dimension and massive volume of astronomical data. New data processing techniques and methods are needed and developing. Various feature extraction and feature selection methods are in bloom. Machine learning and deep learning have become the main tools to handle astronomical big data. Moreover, the coming of multi-messenger astronomy and time domain astronomy leads to more new astronomical discoveries. Special, rare and even new objects are present continuously.
Prof. Dr. Yanxia Zhang
Prof. Dr. A-Li Luo
Manuscript Submission Information
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- machine learning in astronomy
- discoveries: from radio to gamma-rays
- deep learning
- astrostatistics and astroinformatics
- data analysis: methods
- statistical: astronomical data bases