Robust Strong Lensing Time Delay Estimation
Abstract
Strong gravitational lensing of time variable sources such as quasars and supernovae creates observable time delays between the multiple images. Time delays can provide a powerful cosmographic probe through the "time delay distance" involving the ratio of lens, source, and lens-source distances. However, lightcurves of lensed images have measurement gaps, noise, systematics such as microlensing from substructure along an image line of sight, and no a priori functional model, making robust time delay estimation challenging. Using Gaussian process techniques, we demonstrate success in accurate blind reconstruction of time delays and reduction in uncertainties for real data.
Cite
@article{arxiv.1304.0309,
title = {Robust Strong Lensing Time Delay Estimation},
author = {Alireza Hojjati and Alex G. Kim and Eric V. Linder},
journal= {arXiv preprint arXiv:1304.0309},
year = {2013}
}
Comments
6 pages, 3 figures; v2 improved results using damped random walk kernel, matches PRD version