The SL2S Galaxy-scale Lens Sample. IV. The dependence of the total mass density profile of early-type galaxies on redshift, stellar mass, and size
Alessandro Sonnenfeld (1), Tommaso Treu (1), Rapha\"el Gavazzi (2),, Sherry H. Suyu (3), Philip J. Marshall (4), Matthew W. Auger (5), Carlo, Nipoti (6) ((1) University of California, Santa Barbara, (2) Institut, d'Astrophysique de Paris, (3) Institute of Astronomy, Astrophysics

TL;DR
This study investigates how the total mass density profile of early-type galaxies evolves with redshift, stellar mass, and size, revealing that density slope depends mainly on stellar surface density and shows minimal evolution over time.
Contribution
It provides new insights into the dependence of galaxy mass density profiles on stellar surface density and redshift, combining extensive spectroscopic data with lensing and photometric measurements.
Findings
Density slope depends on stellar surface density with minimal residuals.
Galaxies with denser stars have steeper mass density profiles.
Redshift evolution of the density slope is consistent with zero for individual galaxies.
Abstract
We present optical and near infrared spectroscopy obtained at Keck, VLT, and Gemini for a sample of 36 secure strong gravitational lens systems and 17 candidates identified as part of the SL2S survey. The deflectors are massive early-type galaxies in the redshift range z_d=0.2-0.8, while the lensed sources are at z_s=1-3.5. We combine this data with photometric and lensing measurements presented in the companion paper III and with lenses from the SLACS and LSD surveys to investigate the cosmic evolution of the internal structure of massive early-type galaxies over half the age of the universe. We study the dependence of the slope of the total mass density profile \gamma' (\rho(r)\propto r^{-\gamma'}) on stellar mass, size, and redshift. We find that two parameters are sufficent to determine \gamma' with less than 6% residual scatter. At fixed redshift, \gamma' depends solely on the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
