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Using the methods of wavelet analysis and singular spectrum analysis in the study of the variability of flux of radio sources 3C120 and BL Lac in the radio range

Published online by Cambridge University Press:  24 March 2015

Ganna Donskykh ,
Michael Ryabov ,
Artem Sukharev  and
Margo Aller
Ganna Donskykh
Affiliation:
Department of Astronomy, I. I. Mechnikov Odessa National University, Odessa, Ukraine email: [email protected]
Michael Ryabov
Affiliation:
Odessa Observatory “URAN-4” of the Radio-Astronomical Institute NAS, Odessa, Ukraine
Artem Sukharev
Affiliation:
Odessa Observatory “URAN-4” of the Radio-Astronomical Institute NAS, Odessa, Ukraine
Margo Aller
Affiliation:
Radio Observatory of Michigan University, Ann Arbor, MI, USA
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Abstract

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We investigated the monitoring data of extragalactic sources 3C120 and BL Lac. This monitoring was held with University of Michigan 26-meter radio telescope. To study flux density of extragalactic sources 3C120 and BL Lac at frequencies of 14.5, 8 and 4.8 GHz, the wavelet analysis and singular spectrum analysis were used. Calculating the integral wavelet spectra revealed long-term components (11 - 4 years) and short-term components (3.4 - 0.7 years) in 3C120. BL Lac has long-period components of 7 - 8 years and short-term components of 1 - 4 years. Studying of VLBI radio maps (by the program Mojave) allowed investigating features of components movement relatively to the VLBI core. The data of radio astronomy observations were also investigated using singular spectrum analysis. This method does not use the analyzing function, so its calculations allow to distinguish various components of investigated series with a high accuracy. To get spectral power distribution depending on time in the studied narrowband components obtained by singular spectrum analysis, short-term Fourier transformation was used.

Keywords

galaxies: activegalaxies: jets
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 10 , Issue S313: Extragalactic jets from every angle , September 2014 , pp. 76 - 78
Copyright
Copyright © International Astronomical Union 2015 

References

Alberdi, A., Gómez, J. L., Marcaide, J. M., et al. 2000, A&A 361 529Google Scholar
Alexandrov, F. I., 2006: Development of software system for automatic selection and forecast of additive components of time series in the framework of the “Caterpillar SSA”, Publishing House of St. Petersburg State UniversityGoogle Scholar
Aller, H. D., Aller, M. F., Latimer, G. E., & Hodge, P. E. 1985, ApJS 59 513Google Scholar
Britzen, S., Vermeulen, R. C., Wilkinson, P., et al., 2008, A&A 484 119Google Scholar
Gaydyshev, I., 2001: Analysis and data processing (the special directory), St. Petersburg Publishing HouseGoogle Scholar
Jorstad, S. G., Marscher, A. P., Mattox, J. R.et al. 2001, ApJS 134 181Google Scholar
Lister, M. L., Cohen, M. H., Homan, D. C.et al., 2009, AJ 137 3718Google Scholar
Smolentsev, N. 2010: Veyvlet-analiz in MATLAB, DMK PressGoogle Scholar