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This article discusses how Astroinformatics has transformed astronomical research by providing advanced data mining techniques to adapt to the challenges posed by large-scale data sets. Focusing on the realm of binary star systems, we employ Descriptive Data Mining to analyze and integrate data from three pivotal catalogs: The Sixth Catalog of Orbits of Visual Binary Stars, The Ninth Catalogue of Spectroscopic Binary Orbits, and The Fourth Catalog of Interferometry Measurements of Binary Stars. To conduct this study, we consolidated SB9 data from 2021, which records 4021 binary systems, and cross-referenced this data with orbits from 6COVBS and observations from 4CIMBS, which contains data on 66,225 resolved stars in 2020. Digital archiving helps create a comprehensive, unified database spanning multiple catalogs, which is the overall objective of this study. Binary star data can be compared using this unified database. Among these catalogs, we identified a total of 600 standard systems. In this discovery, spectroscopic and visual orbital solutions were integrated to provide a rich dataset for calculating the physical properties of binary stars. It sets a precedent not only for future research in Astroinformatics but also highlights the power of Astroinformatics in modern astronomy.

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The Jewel in the Crown: Archiving and Analyzing Astronomical Spectro-Visual Binaries Big Data

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Suzan Alnaimat,
  • Raid Jameel,
  • Ahmad Abushattal,
  • Mashhoor Al-Wardat,
  • Mustafa H. Ahmed

摘要

This article discusses how Astroinformatics has transformed astronomical research by providing advanced data mining techniques to adapt to the challenges posed by large-scale data sets. Focusing on the realm of binary star systems, we employ Descriptive Data Mining to analyze and integrate data from three pivotal catalogs: The Sixth Catalog of Orbits of Visual Binary Stars, The Ninth Catalogue of Spectroscopic Binary Orbits, and The Fourth Catalog of Interferometry Measurements of Binary Stars. To conduct this study, we consolidated SB9 data from 2021, which records 4021 binary systems, and cross-referenced this data with orbits from 6COVBS and observations from 4CIMBS, which contains data on 66,225 resolved stars in 2020. Digital archiving helps create a comprehensive, unified database spanning multiple catalogs, which is the overall objective of this study. Binary star data can be compared using this unified database. Among these catalogs, we identified a total of 600 standard systems. In this discovery, spectroscopic and visual orbital solutions were integrated to provide a rich dataset for calculating the physical properties of binary stars. It sets a precedent not only for future research in Astroinformatics but also highlights the power of Astroinformatics in modern astronomy.