The Civ line width distribution for quasars and its implications for broad-line region dynamics and virial mass estimation
arXiv:1005.5287 · doi:10.1111/j.1365-2966.2010.17107.x
Abstract
We perform an extensive analysis of the Civ line in three large spectroscopic surveys of quasars. Differing approaches for fitting the Civ line can be found in the literature, and we compare the most common methods to highlight the relative systematics associated with each. We develop a line fitting procedure and apply it to the Civ line in spectra from the SDSS, 2QZ and 2SLAQ surveys. Our results are compared with a previous study of the Mgii line in the same sample. Civ tends to be broader than the Mgii line in spectra that have both, and the average ratio between the lines is consistent with a simplistic model for a photoionised, virialised and stratified broad-line region. There is a statistically significant correlation between the widths of the Civ and Mgii lines. However, the correlation is weak, and the scatter around a best fit is only marginally less than the full dynamic range of line widths. Motivated by previous work, we examine the dispersion in the distribution of Civ line widths. We find that the dispersion in Civ line widths is essentially independent of both redshift and luminosity. This is in stark contrast to the Mgii line, which shows a strong luminosity dependence. Finally we consider our results in terms of their implications for virial black hole mass estimation. The inconsistency between Mgii and Civ line widths in single spectra, combined with the differing behaviour of the Mgii and Civ line width distributions, indicates that there must be an inconsistency between Mgii and Civ virial mass estimators. Furthermore, the level of intrinsic dispersion in Mgii and Civ line widths contributes less dynamic range to virial mass estimates than the error associated with the estimates. The indication is that the line width term in these UV virial mass estimators may be essentially irrelevant with respect to the typical uncertainty on a mass estimate.
Accepted for publication in MNRAS
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