Cluster analysis on the example of blazars from the Roma-BZCAT catalog

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Published: Nov 19, 2023
Abstract views: 179
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DOI: https://doi.org/10.34898/aat.vol4.iss3.pp5-10
Keywords:
data analysis active galactic nuclei blazars flat-spectrum radio quasars

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Dmitry Kudryavtsev
Special Astrophysical Observatory of the Russian Academy of Sciences, Nizhny Arkhyz 369167, Russia
Yulia Sotnikova
Special Astrophysical Observatory of the Russian Academy of Sciences, Nizhny Arkhyz 369167, Russia
Vladislav Stolyarov
Special Astrophysical Observatory of the Russian Academy of Sciences, Nizhny Arkhyz 369167, Russia; Astrophysics Group, Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, UK
Timur Mufakharov
Special Astrophysical Observatory of the Russian Academy of Sciences, Nizhny Arkhyz 369167, Russia; Kazan Federal University, Kazan 420008, Russia
Valery Vlasyuk
Special Astrophysical Observatory of the Russian Academy of Sciences, Nizhny Arkhyz 369167, Russia
Yulia Cherepkova
Special Astrophysical Observatory of the Russian Academy of Sciences, Nizhny Arkhyz 369167, Russia

Abstract

Based on the collected multiwavelength data, we perform a cluster analysis for the blazars of the Roma-BZCAT catalog, selecting groups of blazars with similar properties. Using machine learning methods, we constructed an independent classification of the blazars and compared it with the known Roma-BZCAT classification. The clustering algorithms divide both BL Lac-type objects and flat-spectrum radio quasars (FSRQs) into two subclasses along with a separate group of mixed BL Lacs and FSRQs. The clustering did not reveal difference between the BL Lacs and galaxy-dominated BL Lacs, unlike in the Roma-BZCAT classification.

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How to Cite
Kudryavtsev D., Sotnikova Y., Stolyarov V., et al., 2023. Acta Astrophysica Taurica, vol. 4, no. 3, pp. 5–10. DOI: 10.34898/aat.vol4.iss3.pp5-10
Issue
Vol. 4 No. 3 (2023)
Section
Modern Instruments and Methods in Astronomy Conference Proceedings
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References

Arthur D., Vassilvitskii S., 2007. In SODA ’07: Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms. Philadelphia, PA, USA: Society for Industrial and Applied Mathematics, pp. 1027–1035.

Caliтski T., Harabasz J., 1974. Communications in Statistics-Simulation and Computation, vol. 3, no. 1, pp. 1–27.

Davies D.L., Bouldin D.W., 1979. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-1, no. 2, pp. 224–227.

Kohonen T., 2001. Self-Organizing Maps. Massaro E., Maselli A., Leto C., et al., 2015. Astrophys. Space Sci., vol. 357, no. 1, 75.

Mingaliev M.G., Sotnikova Y.V., Udovitskiy R.Y., et al., 2014. Astron. Astrophys., vol. 572, A59.

Pedregosa F., Varoquaux G., Gramfort A., et al., 2011. Journal of Machine Learning Research, vol. 12, no. 85, pp. 2825–2830.

Planck Collaboration, Aghanim N., Akrami Y., et al., 2020. Astron. Astrophys., vol. 641, A6.

Porta J., Verbeek J., Krose B., 2005. Autonomous Robots, vol. 18, no. 1, pp. 59–80.

Rousseeuw P., 1987. Journal of Computational and Applied Mathematics, vol. 20, no. 1, pp. 53–65.

Sotnikova Y.V., Mufakharov T.V., Mikhailov A.G., et al., 2022. Astrophysical Bulletin, vol. 77, no. 3, pp. 246–263.

Tipping M.E., Bishop C.M., 1999. Neural Comput., vol. 11, no. 2, pp. 443–482.

van der Maaten L., Hinton G., 2008. Journal of Machine Learning Research, vol. 9, pp. 2579–2605.

Verkhodanov O.V., Trushkin S.A., Chernenkov V.N., 1997. Baltic Astronomy, vol. 6, pp. 275–278.

Verkhodanov O.V., Trushkin S.A., Andernach H., Chernenkov V.N., 2005. Bulletin of the Special Astrophysics Observatory, vol. 58, pp. 118–129.

Wittek P., Gao S.C., Lim I.S., Zhao L., 2017. Journal of Statistical Software, vol. 78, no. 9, p. 1–21.

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