Statistical strong lensing. II. Cosmology and galaxy structure with time-delay lenses
Alessandro Sonnenfeld (1) ((1) Leiden Observatory)

TL;DR
This study investigates whether a large sample of time-delay strong lensing data can independently determine the Hubble constant and galaxy structure, achieving high precision through statistical methods and prior information.
Contribution
It demonstrates that combining time-delay lensing data with prior structural information enables 1% level measurement of H0 without stellar kinematics.
Findings
100 lenses yield 3% H0 precision with -4% bias
Adding prior info reduces H0 uncertainty to 1%
Lenses allow 0.03 dex calibration of galaxy stellar masses
Abstract
Context. Time delay lensing is a powerful tool to measure the Hubble constant . In order to obtain an accurate estimate of from a sample of time delay strong lenses, however, it is necessary to have a very good knowledge of the mass structure of the lens galaxies. Strong lensing data on their own are not sufficient to break the degeneracy between and the lens model parameters, on a single object basis. Aims. The goal of this study is to determine whether it is possible to break the -lens structure degeneracy with the statistical combination of a large sample of time-delay lenses, relying purely on strong lensing data (that is, with no stellar kinematics information). Methods. I simulated a set of 100 lenses with doubly imaged quasars and related time delay measurements. I fitted these data with a Bayesian hierarchical method and a flexible model for the lens…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Stellar, planetary, and galactic studies
