Hostname: page-component-7479d7b7d-pfhbr Total loading time: 0 Render date: 2024-07-09T11:31:17.768Z Has data issue: false hasContentIssue false
  • English
  • Français

The role of Big Data in Astronomy Education

Published online by Cambridge University Press:  23 December 2021

A. M. Mickaelian Open the ORCID record for A. M. Mickaelian [Opens in a new window]  and
G. A. Mikayelyan Open the ORCID record for G. A. Mikayelyan [Opens in a new window]
A. M. Mickaelian
Affiliation:
NAS RA V. Ambartsumian Byurakan Astrophysical Observatory (BAO), Byurakan 0213, Aragatzotn Province, Armenia email: aregmick@yahoo.com
G. A. Mikayelyan
Affiliation:
NAS RA V. Ambartsumian Byurakan Astrophysical Observatory (BAO), Byurakan 0213, Aragatzotn Province, Armenia email: aregmick@yahoo.com
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

We review Big Data in Astronomy and its role in Astronomy Education. At present all-sky and large-area astronomical surveys and their catalogued data span over the whole range of electromagnetic spectrum, from gamma-ray to radio, as well as most important surveys giving optical images, proper motions, variability and spectroscopic data. Most important astronomical databases and archives are presented as well. They are powerful sources for many-sided efficient research using the Virtual Observatory (VO) environment. It is shown that using and analysis of Big Data accumulated in astronomy lead to many new discoveries. Using these data gives a significant advantage for Astronomy Education due to its attractiveness and due to big interest of young generation to computer science and technologies. The Computer Science itself benefits from data coming from the Universe and a new interdisciplinary science Astroinformatics has been created to manage these data.

Keywords

Big DataAstronomical SurveysCataloguesDatabasesArchivesMultiwavelength AstronomyMulti-messenger AstronomyAstroinformaticsVirtual Observatories
Type
Research Article
Information
Proceedings of the International Astronomical Union , Volume 15 , Symposium S367: Education and Heritage in the Era of Big Data in Astronomy , December 2019 , pp. 214 - 217
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of International Astronomical Union

References

Ahumada, R., Allende Prieto, C., Almeida, A., et al. 2020, ApJS 249 , 3 CrossRefGoogle Scholar
Gigoyan, K. S., Mickaelian, A. M., Kostandyan, G. R. 2019, MNRAS 489, 2030. VizieR On-line Data Catalog III/266 CrossRefGoogle Scholar
Lawrence, A. 2007, Astron. Geophys. 48, 3.27 CrossRefGoogle Scholar
Markarian, B. E., Lipovetsky, V. A., Stepanian, J. A., et al. 1989, ComSAO 62 , 5 Google Scholar
Massaro, E.; Mickaelian, A. M.; Nesci, R.; Weedman, D. (eds.) 2008, The Digitized First Byurakan Survey, ARACNE Editrice, Rome, 78 p. Google Scholar
Mickaelian, A. M. 2016a, Baltic Astron. 25, 75 Google Scholar
Mickaelian, A. M. 2016b, Astron. Rep. 60, 857 CrossRefGoogle Scholar
Mickaelian, A. M., Gigoyan, K. S. 2006, A&A 455, 765. VizieR On-line Data Catalog III/237AGoogle Scholar
Mickaelian, A. M.; Nesci, R.; Rossi, C.; Weedman, D.; et al. 2007, A&A, 464 , 1177 Google Scholar
Véron-Cetty, M.-P., Véron, P. 2010, A&A 518 , 10 Google Scholar