Galaxy density profiles and shapes -- I. simulation pipeline for lensing by realistic galaxy models
Glenn van de Ven (IAS, Princeton), Rachel Mandelbaum (IAS, Princeton),, Charles R. Keeton (Rutgers Univ.)

TL;DR
This paper develops a simulation pipeline for realistic galaxy lensing models, enabling better understanding of galaxy density profiles and shapes through lensing and kinematic data, accounting for biases and survey limitations.
Contribution
It introduces a flexible, efficient simulation pipeline for lensing by realistic galaxy models with separate stellar and dark matter components, tested for accuracy and bias.
Findings
Galaxy density profiles near the Einstein radius are close to isothermal.
Constraints from lensing and kinematics near the Einstein radius cannot be easily extrapolated.
The pipeline accurately recovers lensing quantities with minimal viewing angles.
Abstract
Studies of strong gravitational lensing in current and upcoming wide and deep photometric surveys, and of stellar kinematics from (integral-field) spectroscopy at increasing redshifts, promise to provide valuable constraints on galaxy density profiles and shapes. However, both methods are affected by various selection and modelling biases, whch we aim to investigate in a consistent way. In this first paper in a series we develop a flexible but efficient pipeline to simulate lensing by realistic galaxy models. These galaxy models have separate stellar and dark matter components, each with a range of density profiles and shapes representative of early-type, central galaxies without significant contributions from other nearby galaxies. We use Fourier methods to calculate the lensing properties of galaxies with arbitrary surface density distributions, and Monte Carlo methods to compute…
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