2015
DOI: 10.1093/mnras/stv2708
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Lens galaxies in the Illustris simulation: power-law models and the bias of the Hubble constant from time delays

Abstract: A power-law density model, i.e., ρ(r) ∝ r −γ ′ has been commonly employed in strong gravitational lensing studies, including the so-called time-delay technique used to infer the Hubble constant H 0 . However, since the radial scale at which strong lensing features are formed corresponds to the transition from the dominance of baryonic matter to dark matter, there is no known reason why galaxies should follow a power law in density. The assumption of a power law artificially breaks the mass-sheet degeneracy, a … Show more

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Cited by 96 publications
(136 citation statements)
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References 43 publications
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“…The total power-law slope also correlates with the in-situ formed stellar mass ratio and redshift, in line with previous simulation studies (Xu et al 2017;Remus et al 2017;Bellstedt et al 2018). Although a slightly negative total density slope/central velocity dispersion correlation and a shallower slope with time are in tension with observational trends, the uncertainties and systematics in observations may have obscured the true trends (Xu et al 2016(Xu et al , 2017Tagore et al 2018). In this work, we will hence investigate the redshift evolution of the density profiles of z = 0 ETG progenitors, and statistical ETG samples at higher redshifts selected based on their morphology.…”
Section: Introductionsupporting
confidence: 88%
“…The total power-law slope also correlates with the in-situ formed stellar mass ratio and redshift, in line with previous simulation studies (Xu et al 2017;Remus et al 2017;Bellstedt et al 2018). Although a slightly negative total density slope/central velocity dispersion correlation and a shallower slope with time are in tension with observational trends, the uncertainties and systematics in observations may have obscured the true trends (Xu et al 2016(Xu et al , 2017Tagore et al 2018). In this work, we will hence investigate the redshift evolution of the density profiles of z = 0 ETG progenitors, and statistical ETG samples at higher redshifts selected based on their morphology.…”
Section: Introductionsupporting
confidence: 88%
“…The bias on H0 is likely at the 0.6% level for the measurement of Suyu et al (2013) using RXJ1131; but the bias becomes more significant if the density profiles of individual lenses are less well constrained by the data, or if multiple lenses are combined. The bias may be larger in current datasets if degeneracies such as the source-position transformation (Schneider & Sluse 2014) mean that uncertainties of current measurements of η are underestimated (Xu et al 2016). Meng et al (2015) find that even with faint doubles where total magnitude of the arcs is ∼23, Euclid will be able to constrain the slope to 0.034 precision.…”
Section: Resultsmentioning
confidence: 95%
“…However the time-delays are proportional to λ, so the inferred time-delay distance is degenerate with the unknown value of the rescaling λ. This mass-sheet can be internal to the lens where the assumed density profile deviates from the true profile by a mass-sheet transformation within the Einstein ring (Xu et al 2016), or external to the lens where the outskirts of dark matter halos along the line-of-sight act like mass-sheets plus an external shear. The internal mass-sheet can in principle be broken with observations of the stellar kinematics, and whilst inference on the external mass-sheet can be made using observations of galaxies along the line of sight (Collett et al 2013;Greene et al 2013), such measurements are extremely challenging.…”
Section: Introductionmentioning
confidence: 99%
“…As shown by Xu et al (2016), true profiles of realistic galaxies deviate from power-law distributions. In order to validate the robustness of the applied power-law assumption despite this fact, we first defined a curvature parameter for the 3-D enclosed mass distribution M (r) (defined by Eq.…”
Section: Robustness Of the Power-law Assumptionmentioning
confidence: 98%