2004
DOI: 10.1086/386325
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Active Galactic Nucleus Emission‐Line Properties Versus the Eddington Ratio

Abstract: We analyze UV spectra for a large sample of 578 type 1 active galactic nuclei and derive Eddington ratios, L=L Edd , from the bolometric luminosities and emission-line widths for each object in the sample. The sample spans 5 orders of magnitude in supermassive black hole (SMBH) mass, 7 orders of magnitude in luminosity, and a redshift range 0 z 5. We include a sample of 26 low-redshift narrow-line Seyfert 1 galaxies (NLS1's) for comparative analysis. The NLS1's have slightly larger than average L=L Edd ratios … Show more

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Cited by 108 publications
(143 citation statements)
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“…However, our model predicts mean accretion rates that are up to ∼0.5 dex higher than the observed distributions and a much larger fraction of AGNs accreting at super-Eddington ratesas high as 50% of the population for the most luminous AGNs (L bol 10 46.5 erg s −1 ). Such sources could correspond to the luminous Type 2 AGN population, indicating such sources are the most rapidly accreting sources (e.g., Warner et al 2004;Urrutia et al 2012). However, the uncertainties in virial SMBH mass estimates, used to derive the Eddington ratios, can introduce substantial biases into the observed distributions (e.g., Shen et al 2008;Shen & Kelly 2010;Schulze & Wisotzki 2011), potentially bringing them more in line with the predictions of our model.…”
Section: The Nature Of the Agn Populationmentioning
confidence: 67%
“…However, our model predicts mean accretion rates that are up to ∼0.5 dex higher than the observed distributions and a much larger fraction of AGNs accreting at super-Eddington ratesas high as 50% of the population for the most luminous AGNs (L bol 10 46.5 erg s −1 ). Such sources could correspond to the luminous Type 2 AGN population, indicating such sources are the most rapidly accreting sources (e.g., Warner et al 2004;Urrutia et al 2012). However, the uncertainties in virial SMBH mass estimates, used to derive the Eddington ratios, can introduce substantial biases into the observed distributions (e.g., Shen et al 2008;Shen & Kelly 2010;Schulze & Wisotzki 2011), potentially bringing them more in line with the predictions of our model.…”
Section: The Nature Of the Agn Populationmentioning
confidence: 67%
“…Another interesting aspect of assessing the chemical composition of AGNs is that it provides clues on the co-evolution between galaxies and their supermassive black holes (SMBHs), which has been inferred by the tight correlation between the mass of SMBHs (M BH ) and their host spheroidal observed in the local Universe (e.g., Marconi & Hunt 2003;Ferrarese & Merritt 2000;Gebhardt et al 2000). Matsuoka et al (2011) reported a tight relationship between the metallicity in broad-line regions (BLRs) and M BH at z ∼ 2−3, suggesting that the evolution of SMBHs is associated with the cumulative star formation in the host galaxies (see also Warner et al 2004;Nagao et al 2006b).…”
Section: Introductionmentioning
confidence: 99%
“…The metallicities in the BLR were found to be supersolar, reaching 10 Z in some cases, and to be correlated with the AGN luminosity, accretion rate, and BH mass (e.g. Hamann & Ferland 1993;Shemmer et al 2004;Warner et al 2004;Nagao et al 2006;Matsuoka et al 2011), with almost no redshift evolution. This is usually interpreted in Based on observations collected at the Centro Astronómico Hispano Alemán (CAHA) at Calar Alto, operated jointly by the Max-Planck-Institut für Astronomie and the Instituto de Astrofísica de Andalucía (CSIC) and on observations collected at the European Organisation for Astronomical Reasearch in the Southern Hemisphere, Chile (program 070.B-0418).…”
Section: Introductionmentioning
confidence: 99%