How robust are the constraints on cosmology and galaxy evolution from the lens-redshift test?
Pedro R. Capelo (Yale), Priyamvada Natarajan (Yale)

TL;DR
This paper assesses the robustness of the lens-redshift test for cosmology and galaxy evolution, addressing data incompleteness and galaxy evolution modeling, and finds that larger, more complete samples are needed for effective application.
Contribution
It introduces a new nested Monte Carlo method to handle incomplete data and explores galaxy evolution effects assuming known cosmology.
Findings
Current data limitations hinder the test's effectiveness.
Future large surveys will enable the lens-redshift test to probe cosmology and galaxy evolution.
Incomplete and biased samples are the main challenges in applying the test.
Abstract
The redshift distribution of galaxy lenses in known gravitational lens systems provides a powerful test that can potentially discriminate amongst cosmological models. However, applications of this elegant test have been curtailed by two factors: our ignorance of how galaxies evolve with redshift, and the absence of methods to deal with the effect of incomplete information in lensing systems. In this paper, we investigate both issues in detail. We explore how to extract the properties of evolving galaxies, assuming that the cosmology is well determined by other techniques. We propose a new nested Monte Carlo method to quantify the effects of incomplete data. We apply the lens-redshift test to an improved sample of seventy lens systems derived from recent observations, primarily from the SDSS, SLACS and the CLASS surveys. We find that the limiting factor in applying the lens-redshift test…
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