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How does the Polar Dust affect the Correlation between Dust Covering Factor and Eddington Ratio in Type 1 Quasars Selected from the Sloan Digital Sky Survey Data Release 16?

Authors :
Toba, Yoshiki
Ueda, Yoshihiro
Gandhi, Poshak
Ricci, Claudio
Burgarella, Denis
Buat, Veronique
Nagao, Tohru
Oyabu, Shinki
Matsuhara, Hideo
Hsieh, Bau-Ching
Publication Year :
2021

Abstract

We revisit the dependence of covering factor (CF) of dust torus on physical properties of active galactic nuclei (AGNs) by taking into account an AGN polar dust emission. The CF is converted from a ratio of infrared (IR) luminosity contributed from AGN dust torus ($L_{\rm IR}^{\rm torus}$) and AGN bolometric luminosity ($L_{\rm bol}$), by assuming a non-linear relation between luminosity ratio and intrinsic CF. We select 37,181 type 1 quasars at $z < 0.7$ from the Sloan Digital Sky Survey Data Release 16 quasar catalog. Their $L_{\rm bol}$, black hole mass ($M_{\rm BH}$), and Eddington ratio ($\lambda_{\rm Edd}$) are derived by spectral fitting with QSFit. We conduct spectral energy distribution decomposition by using X-CIGALE with clumpy torus and polar dust model to estimate $L_{\rm IR}^{\rm torus}$ without being affected by the contribution of stellar and AGN polar dust to IR emission. For 5720 quasars whose physical quantities are securely determined, we perform a correlation analysis on CF and (i) $L_{\rm bol}$, (ii) $M_{\rm BH}$, and (iii) $\lambda_{\rm Edd}$. As a result, anti-correlations for CF-$L_{\rm bol}$, CF-$M_{\rm BH}$, and CF-$\lambda_{\rm Edd}$ are confirmed. We find that incorporating the AGN polar dust emission makes those anti-correlations stronger which are compared to those without considering it. This indicates that polar dust wind provably driven by AGN radiative pressure is one of the key components to regulate obscuring material of AGNs.<br />Comment: 20 pages, 14 figures, and 4 tables, accepted for publication in ApJ. Physical properties (e.g., BH mass, Eddington ratio, IR luminosity) of 37,181 quasars at z < 0.7 selected from the SDSS DR16 will be available as a Machine-readable table

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2102.04620
Document Type :
Working Paper
Full Text :
https://doi.org/10.3847/1538-4357/abe94a