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Journal Articles Monthly Notices of the Royal Astronomical Society Year : 2022

The viewing angle in AGN SED models: a data-driven analysis

Andrés Felipe Ramos Padilla
  • Function : Author
Lingyu Wang
  • Function : Author
Andreas Efstathiou
  • Function : Author
Guang Yang
  • Function : Author

Abstract

The validity of the unified active galactic nuclei (AGNs) model has been challenged in the last decade, especially when different types of AGNs are considered to only differ in the viewing angle to the torus. We aim to assess the importance of the viewing angle in classifying different types of Seyfert galaxies in spectral energy distribution (SED) modelling. We retrieve photometric data from publicly available astronomical data bases: CDS and NED, to model SEDs with x-cigale in a sample of 13 173 Seyfert galaxies located at redshift range from z = 0 to 3.5, with a median redshift of z ≈ 0.2. We assess whether the estimated viewing angle from the SED models reflects different Seyfert classifications. Two AGN models with either a smooth or clumpy torus structure are adopted in this paper. We find that the viewing angle in Type-1 AGNs is better constrained than in Type-2 AGNs. Limiting the viewing angles representing these two types of AGNs does not affect the physical parameter estimates such as star formation rate (SFR) or AGN fractional contribution (f_AGN). In addition, the viewing angle is not the most discriminating physical parameter to differentiate Seyfert types. We suggest that the observed and intrinsic AGN disc luminosity can (i) be used in z < 0.5 studies to distinguish between Type-1 and Type-2 AGNs, and (ii) explain the probable evolutionary path between these AGN types. Finally, we propose the use of x-cigale for AGN galaxy classification tasks. All data from the 13 173 SED fits are available at Zenodo1.
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Dates and versions

hal-03341173 , version 1 (31-03-2023)

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Andrés Felipe Ramos Padilla, Lingyu Wang, Katarzyna Małek, Andreas Efstathiou, Guang Yang. The viewing angle in AGN SED models: a data-driven analysis. Monthly Notices of the Royal Astronomical Society, 2022, 510 (1), pp.687-707. ⟨10.1093/mnras/stab3486⟩. ⟨hal-03341173⟩
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