Biases in Virial Black Hole Masses: An SDSS Perspective

We compile black hole (BH) masses for [image]60,000 quasars in the redshift range [image] included in the Fifth Data Release of the Sloan Digital Sky Survey, using virial BH mass estimators based on the H beta , Mg ii, and C iv emission lines. Within our sample, the widths of the three lines follow...

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Published inThe Astrophysical journal Vol. 680; no. 1; pp. 169 - 190
Main Authors Shen, Yue, Greene, Jenny E, Strauss, Michael A, Richards, Gordon T, Schneider, Donald P
Format Journal Article
LanguageEnglish
Published Chicago, IL IOP Publishing 10.06.2008
University of Chicago Press
Subjects
Online AccessGet full text
ISSN0004-637X
1538-4357
DOI10.1086/587475

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Abstract We compile black hole (BH) masses for [image]60,000 quasars in the redshift range [image] included in the Fifth Data Release of the Sloan Digital Sky Survey, using virial BH mass estimators based on the H beta , Mg ii, and C iv emission lines. Within our sample, the widths of the three lines follow lognormal distributions, with means and dispersions that do not depend strongly on luminosity or redshift. The Mg ii- and H beta -estimated BH masses are consistent with one another, but there is a positive bias between the C iv- and Mg ii-estimated BH masses correlated with the C iv-Mg ii blueshift, suggesting that the C iv estimator is more severely affected by a disk wind. If the underlying BH mass distribution decreases with mass and the Eddington ratio distribution at fixed true BH mass has nonzero width, we show that the measured virial BH mass and Eddington ratio distributions within finite luminosity bins are subject to Malmquist bias. We present a model that reproduces the observed virial mass distribution, quasar luminosity function, and line width distribution of our sample; it has an underlying BH mass distribution [image] and a lognormal true Eddington ratio distribution at fixed true mass with dispersion 0.4 dex and mean dependent on BH mass. In this model, the observed virial mass (Eddington ratio) distribution for the SDSS sample is biased high (low) by [image]0.6 dex within finite luminosity bins. Finally, we compare virial BH masses of radio and broad absorption line quasars with ordinary quasars matched in redshift and luminosity.
AbstractList We compile black hole (BH) masses for [image]60,000 quasars in the redshift range [image] included in the Fifth Data Release of the Sloan Digital Sky Survey, using virial BH mass estimators based on the H beta , Mg ii, and C iv emission lines. Within our sample, the widths of the three lines follow lognormal distributions, with means and dispersions that do not depend strongly on luminosity or redshift. The Mg ii- and H beta -estimated BH masses are consistent with one another, but there is a positive bias between the C iv- and Mg ii-estimated BH masses correlated with the C iv-Mg ii blueshift, suggesting that the C iv estimator is more severely affected by a disk wind. If the underlying BH mass distribution decreases with mass and the Eddington ratio distribution at fixed true BH mass has nonzero width, we show that the measured virial BH mass and Eddington ratio distributions within finite luminosity bins are subject to Malmquist bias. We present a model that reproduces the observed virial mass distribution, quasar luminosity function, and line width distribution of our sample; it has an underlying BH mass distribution [image] and a lognormal true Eddington ratio distribution at fixed true mass with dispersion 0.4 dex and mean dependent on BH mass. In this model, the observed virial mass (Eddington ratio) distribution for the SDSS sample is biased high (low) by [image]0.6 dex within finite luminosity bins. Finally, we compare virial BH masses of radio and broad absorption line quasars with ordinary quasars matched in redshift and luminosity.
We compile black hole (BH) masses for [image]60,000 quasars in the redshift range [image] included in the Fifth Data Release of the Sloan Digital Sky Survey, using virial BH mass estimators based on the Hb, Mg ii, and C iv emission lines. Within our sample, the widths of the three lines follow lognormal distributions, with means and dispersions that do not depend strongly on luminosity or redshift. The Mg ii- and Hb-estimated BH masses are consistent with one another, but there is a positive bias between the C iv- and Mg ii-estimated BH masses correlated with the C iv-Mg ii blueshift, suggesting that the C iv estimator is more severely affected by a disk wind. If the underlying BH mass distribution decreases with mass and the Eddington ratio distribution at fixed true BH mass has nonzero width, we show that the measured virial BH mass and Eddington ratio distributions within finite luminosity bins are subject to Malmquist bias. We present a model that reproduces the observed virial mass distribution, quasar luminosity function, and line width distribution of our sample; it has an underlying BH mass distribution [image] and a lognormal true Eddington ratio distribution at fixed true mass with dispersion 0.4 dex and mean dependent on BH mass. In this model, the observed virial mass (Eddington ratio) distribution for the SDSS sample is biased high (low) by [image]0.6 dex within finite luminosity bins. Finally, we compare virial BH masses of radio and broad absorption line quasars with ordinary quasars matched in redshift and luminosity.
Author Greene, Jenny E
Richards, Gordon T
Schneider, Donald P
Shen, Yue
Strauss, Michael A
Author_xml – sequence: 1
  fullname: Shen, Yue
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  fullname: Greene, Jenny E
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  fullname: Strauss, Michael A
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  fullname: Richards, Gordon T
– sequence: 5
  fullname: Schneider, Donald P
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Issue 1
Keywords Active galaxies
Quasars
Red shift
quasars: general
black hole physics
Black holes
galaxies: active
surveys
Cosmology
Virial mass
galaxies: fundamental parameters
galaxies: high-redshift
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Snippet We compile black hole (BH) masses for [image]60,000 quasars in the redshift range [image] included in the Fifth Data Release of the Sloan Digital Sky Survey,...
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SubjectTerms Astronomy
Earth, ocean, space
Exact sciences and technology
Title Biases in Virial Black Hole Masses: An SDSS Perspective
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