Issue |
A&A
Volume 693, January 2025
|
|
---|---|---|
Article Number | A318 | |
Number of page(s) | 22 | |
Section | Extragalactic astronomy | |
DOI | https://doi.org/10.1051/0004-6361/202450561 | |
Published online | 29 January 2025 |
Long-term radio variability of active galactic nuclei at 37 GHz
1
Aalto University Metsähovi Radio Observatory, Metsähovintie 114, FI-02540 Kylmälä, Finland
2
Aalto University Department of Electronics and Nanoengineering, PO Box 15500 00076 Aalto, Finland
3
Finnish Centre for Astronomy with ESO, FINCA, University of Turku, Turku FI-20014, Finland
⋆ Corresponding author; sofia.kankkunen@aalto.fi
Received:
30
April
2024
Accepted:
11
November
2024
Aims. We present the results of analysing the long-term radio variability of active galactic nuclei at 37 GHz using data of 123 sources observed in the Aalto University Metsähovi Radio Observatory. Our aim was to constrain the characteristic timescales of the studied sources and to analyse whether up to 42 years of monitoring was enough to describe their variability behaviour.
Methods. We used a periodogram to estimate the power spectral density of each source. The power spectral density is used to analyse the power content of a time series in the frequency domain, and it is a powerful tool in describing the variability of active galactic nuclei. We were interested in finding a bend frequency in the power spectrum, that is, a frequency at which the slope β of the spectrum changes from a non-zero value to zero. We fitted two models to the periodograms of each source, namely the bending power law and the simple power law. The bend frequency in the bending power law corresponds to a characteristic timescale.
Results. We were able to constrain a timescale for 11 out of 123 sources, with an average characteristic timescale xb = 1300 days and an average power-law slope β = 2.3. The results suggest that up to 42 years of observations may not always be enough for obtaining a characteristic timescale in the radio domain. This is likely caused by a combination of both slow variability as well as sampling-induced effects. We also compared the obtained timescales to 43 GHz very long baseline interferometry images. The maximum length of time a knot was visible was often close to the obtained characteristic timescale. This suggests a connection between the characteristic timescale and the jet structure.
Key words: methods: data analysis / galaxies: active / quasars: general
© The Authors 2025
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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