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Methods for Analyzing Multiwavelength Light Curves of AGNs. / Khabibullina, M.L.; Stolyarov, V.A.; Zhekanis, P.G.; Mufakharov, T.V.; Sotnikova, Y.V.; Volvach, A.E.; Borman, G.A.; Grishina, T.S.; Larionova, E.G.; Morozova, D.A.; Savchenko, S.S.; Troitskiy, I.S.; Troitskaya, Y.V.; Vasilyev, A.A.

в: Astrophysical Bulletin, Том 80, № 4, 2025, стр. 678-702.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

Khabibullina, ML, Stolyarov, VA, Zhekanis, PG, Mufakharov, TV, Sotnikova, YV, Volvach, AE, Borman, GA, Grishina, TS, Larionova, EG, Morozova, DA, Savchenko, SS, Troitskiy, IS, Troitskaya, YV & Vasilyev, AA 2025, 'Methods for Analyzing Multiwavelength Light Curves of AGNs', Astrophysical Bulletin, Том. 80, № 4, стр. 678-702. https://doi.org/10.1134/S1990341325600589

APA

Khabibullina, M. L., Stolyarov, V. A., Zhekanis, P. G., Mufakharov, T. V., Sotnikova, Y. V., Volvach, A. E., Borman, G. A., Grishina, T. S., Larionova, E. G., Morozova, D. A., Savchenko, S. S., Troitskiy, I. S., Troitskaya, Y. V., & Vasilyev, A. A. (2025). Methods for Analyzing Multiwavelength Light Curves of AGNs. Astrophysical Bulletin, 80(4), 678-702. https://doi.org/10.1134/S1990341325600589

Vancouver

Khabibullina ML, Stolyarov VA, Zhekanis PG, Mufakharov TV, Sotnikova YV, Volvach AE и пр. Methods for Analyzing Multiwavelength Light Curves of AGNs. Astrophysical Bulletin. 2025;80(4):678-702. https://doi.org/10.1134/S1990341325600589

Author

Khabibullina, M.L. ; Stolyarov, V.A. ; Zhekanis, P.G. ; Mufakharov, T.V. ; Sotnikova, Y.V. ; Volvach, A.E. ; Borman, G.A. ; Grishina, T.S. ; Larionova, E.G. ; Morozova, D.A. ; Savchenko, S.S. ; Troitskiy, I.S. ; Troitskaya, Y.V. ; Vasilyev, A.A. / Methods for Analyzing Multiwavelength Light Curves of AGNs. в: Astrophysical Bulletin. 2025 ; Том 80, № 4. стр. 678-702.

BibTeX

@article{263c85b3c2dd450bb71cfac143b31468,
title = "Methods for Analyzing Multiwavelength Light Curves of AGNs",
abstract = "Abstract: The paper presents methods for analyzing multiwavelength light curves of active galactic nuclei with uneven time sampling, including the use of the structure functions, autocorrelation and cross-correlation functions, Lomb–Scargle periodograms, and weighted wavelet analysis. The structure functions allow quantitative estimation of the temporal scales of variations, correlation functions provide detection of temporal delays between different frequencies, Lomb–Scargle periodograms detect periodicities in nonuniform data, and wavelet analysis makes it possible to localize variable processes in time and to study the evolution of the signal frequency composition. The comprehensive use of these methods allows detailed investigation of the temporal and frequency structure of physical processes in active galactic nuclei, taking into account the influence of the unevenness of experimental data. The advantages and limitations of each method are considered using examples of analyzing specific sources, and their practical significance for studying the variability of active galactic nuclei is demonstrated. {\textcopyright} Pleiades Publishing, Ltd. 2025.",
keywords = "galaxies: active, galaxies: jets, methods: data analysis, methods: statistical, quasars: general",
author = "M.L. Khabibullina and V.A. Stolyarov and P.G. Zhekanis and T.V. Mufakharov and Y.V. Sotnikova and A.E. Volvach and G.A. Borman and T.S. Grishina and E.G. Larionova and D.A. Morozova and S.S. Savchenko and I.S. Troitskiy and Y.V. Troitskaya and A.A. Vasilyev",
note = "Export Date: 09 March 2026; Cited By: 0; Correspondence Address: M.L. Khabibullina; Special Astrophysical Observatory, Russian Academy of Sciences, Nizhnii Arkhyz, 369167, Russian Federation; email: rita@sao.ru",
year = "2025",
doi = "10.1134/S1990341325600589",
language = "Английский",
volume = "80",
pages = "678--702",
journal = "Astrophysical Bulletin",
issn = "1990-3413",
publisher = "МАИК {"}Наука/Интерпериодика{"}",
number = "4",

}

RIS

TY - JOUR

T1 - Methods for Analyzing Multiwavelength Light Curves of AGNs

AU - Khabibullina, M.L.

AU - Stolyarov, V.A.

AU - Zhekanis, P.G.

AU - Mufakharov, T.V.

AU - Sotnikova, Y.V.

AU - Volvach, A.E.

AU - Borman, G.A.

AU - Grishina, T.S.

AU - Larionova, E.G.

AU - Morozova, D.A.

AU - Savchenko, S.S.

AU - Troitskiy, I.S.

AU - Troitskaya, Y.V.

AU - Vasilyev, A.A.

N1 - Export Date: 09 March 2026; Cited By: 0; Correspondence Address: M.L. Khabibullina; Special Astrophysical Observatory, Russian Academy of Sciences, Nizhnii Arkhyz, 369167, Russian Federation; email: rita@sao.ru

PY - 2025

Y1 - 2025

N2 - Abstract: The paper presents methods for analyzing multiwavelength light curves of active galactic nuclei with uneven time sampling, including the use of the structure functions, autocorrelation and cross-correlation functions, Lomb–Scargle periodograms, and weighted wavelet analysis. The structure functions allow quantitative estimation of the temporal scales of variations, correlation functions provide detection of temporal delays between different frequencies, Lomb–Scargle periodograms detect periodicities in nonuniform data, and wavelet analysis makes it possible to localize variable processes in time and to study the evolution of the signal frequency composition. The comprehensive use of these methods allows detailed investigation of the temporal and frequency structure of physical processes in active galactic nuclei, taking into account the influence of the unevenness of experimental data. The advantages and limitations of each method are considered using examples of analyzing specific sources, and their practical significance for studying the variability of active galactic nuclei is demonstrated. © Pleiades Publishing, Ltd. 2025.

AB - Abstract: The paper presents methods for analyzing multiwavelength light curves of active galactic nuclei with uneven time sampling, including the use of the structure functions, autocorrelation and cross-correlation functions, Lomb–Scargle periodograms, and weighted wavelet analysis. The structure functions allow quantitative estimation of the temporal scales of variations, correlation functions provide detection of temporal delays between different frequencies, Lomb–Scargle periodograms detect periodicities in nonuniform data, and wavelet analysis makes it possible to localize variable processes in time and to study the evolution of the signal frequency composition. The comprehensive use of these methods allows detailed investigation of the temporal and frequency structure of physical processes in active galactic nuclei, taking into account the influence of the unevenness of experimental data. The advantages and limitations of each method are considered using examples of analyzing specific sources, and their practical significance for studying the variability of active galactic nuclei is demonstrated. © Pleiades Publishing, Ltd. 2025.

KW - galaxies: active

KW - galaxies: jets

KW - methods: data analysis

KW - methods: statistical

KW - quasars: general

U2 - 10.1134/S1990341325600589

DO - 10.1134/S1990341325600589

M3 - статья

VL - 80

SP - 678

EP - 702

JO - Astrophysical Bulletin

JF - Astrophysical Bulletin

SN - 1990-3413

IS - 4

ER -

ID: 150133342