Lensing Probabilities for Spectroscopically Selected Galaxy-Galaxy Strong Lenses
Gregory Dobler (Harvard/CfA), Charles R. Keeton (Rutgers), Adam S., Bolton (IfA, Harvard/CfA), Scott Burles (MIT)

TL;DR
This paper models the probabilities of detecting spectroscopic galaxy-galaxy strong lenses, accounting for selection effects like fiber size, and estimates the lensing rate, revealing higher probabilities than previous surveys due to different selection criteria.
Contribution
It introduces a detailed probabilistic framework for spectroscopic lens searches that incorporates unique selection effects and provides updated lensing rate estimates.
Findings
Total rogue line detection probability: 0.9-3.0%
Lensing rate estimate: 0.5-1.3%
Discrepancy with SLACS due to selection criteria
Abstract
Spectroscopic galaxy-galaxy lens searches are presently the most prolific method of identifying strong lens systems in large data sets. We study the probabilities associated with these lens searches, namely the probability of identifying a candidate with rogue [OII] emission lines in a galaxy's spectrum, and the probability that the candidate will show features of strong lensing in follow-up photometric observations. We include selection effects unique to spectroscopic data, and apply them to the Sloan Lens ACS (SLACS) survey (Bolton et al. 2006). The most significant selection effect is the finite size of the spectroscopic fiber which selects against large separation lenses and results in a non-monotonic dependence of the rogue line probability on velocity dispersion. For example, with the 3 arcsec diameter SDSS fiber and 2 arcsec FWHM seeing, we find that the probability that a given…
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