Constraints on the velocity profiles of galaxies from strong lensing statistics and semi-analytical modelling of galaxy formation
arXiv:astro-ph/0605405 · doi:10.1111/j.1365-2966.2006.11127.x
Abstract
Semi-analytical models of galaxy formation can be used to predict the evolution of the number density of early-type galaxies as a function of the circular velocity at the virial radius, v_{c,vir}. Gravitational lensing probability and separation distribution on the other hand are sensitive to the velocity dispersion (or circular velocity) at about the effective radius. We adopt the singular isothermal ellipsoid (SIE) lens model to estimate the velocity dispersion at the effective radius. We use radio lenses from the Cosmic Lens All-Sky Survey and the PMN-NVSS Extragalactic Lens Survey to study how the velocity dispersions, σ_SIE, are related to v_{c,vir}. When we include both the lensing probability and separation distribution as our lensing constraints, we find σ_SIE /(200\kms) = [(1.17_{-0.26}^{+0.40}) v_{c,vir}/ (200\kms)]^{0.22^{+0.05}_{-0.04}} for 200\kms \la σ_SIE \la 260\kms; at σ_SIE = 200\kms, the ratio \sqrt{2} σ_SIE / v_{c,vir} is about 1.65^{+0.57}_{-0.37} (68% CL) but decreases to 0.65_{-0.12}^{+0.15} (68% CL) for σ_SIE = 260\kms. These results are consistent with those of Seljak (2002) obtained from galaxy-galaxy weak lensing for galaxies of around L_*. However, our results clearly suggest that the ratio must vary significantly as σ_SIE is varied and are marginally discrepant with the Seljak results at σ_SIE = 260\kms. The scaling σ_SIE \propto v_{c,vir}^{0.22\pm 0.05} is broadly consistent with those from galaxy occupation statistics studies and the most recent galaxy-galaxy weak lensing study. (Abridged)
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References in corpus (1)
Cited by in corpus (6)
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- Five New High-Redshift Quasar Lenses from the Sloan Digital Sky Survey
- Cosmological Parameters from the SDSS DR5 Velocity Dispersion Function of Early-Type Galaxies through Radio-Selected Lens Statistics
- The Cosmic Lens All-Sky Survey parent population - I. Sample selection and number counts