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Modeling the Multiwavelength Variability of Mrk 335 Using Gaussian Processes

Griffiths, Ryan-Rhys; Jiang, Jiachen; Buisson, Douglas JK; Wilkins, Dan; Gallo, Luigi C; Ingram, Adam; Lee, Alpha A; ... Komossa, S; + view all (2021) Modeling the Multiwavelength Variability of Mrk 335 Using Gaussian Processes. The Astrophysical Journal , 914 (2) , Article 144. 10.3847/1538-4357/abfa9f. Green open access

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Abstract

The optical and UV variability of the majority of active galactic nuclei may be related to the reprocessing of rapidly changing X-ray emission from a more compact region near the central black hole. Such a reprocessing model would be characterized by lags between X-ray and optical/UV emission due to differences in light travel time. Observationally, however, such lag features have been difficult to detect due to gaps in the lightcurves introduced through factors such as source visibility or limited telescope time. In this work, Gaussian process regression is employed to interpolate the gaps in the Swift X-ray and UV lightcurves of the narrow-line Seyfert 1 galaxy Mrk 335. In a simulation study of five commonly employed analytic Gaussian process kernels, we conclude that the Matern 1 2 and rational quadratic kernels yield the most well-specified models for the X-ray and UVW2 bands of Mrk 335. In analyzing the structure functions of the Gaussian process lightcurves, we obtain a broken power law with a break point at 125 days in the UVW2 band. In the X-ray band, the structure function of the Gaussian process lightcurve is consistent with a power law in the case of the rational quadratic kernel while a broken power law with a break point at 66 days is obtained from the Matern 1 2 kernel. The subsequent cross-correlation analysis is consistent with previous studies and furthermore shows tentative evidence for a broad X-ray-UV lag feature of up to 30 days in the lag-frequency spectrum where the significance of the lag depends on the choice of Gaussian process kernel.

Type: Article
Title: Modeling the Multiwavelength Variability of Mrk 335 Using Gaussian Processes
Open access status: An open access version is available from UCL Discovery
DOI: 10.3847/1538-4357/abfa9f
Publisher version: https://doi.org/10.3847/1538-4357/abfa9f
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media
URI: https://discovery.ucl.ac.uk/id/eprint/10209684
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