Kernel regression estimates of time delays between gravitationally lensed fluxes

Sultanah AL Otaibi; Peter Tio; Juan C. Cuevas-Tello; Ilya Mandel; Somak Raychaudhury
Monthly Notices of the Royal Astronomical Society, 2016; doi: 10.1093/mnras/stw510, 2016.


Strongly lensed variable quasars can serve as precise cosmological probes, pro- vided that time delays between the image fluxes can be accurately measured. A number of methods have been proposed to address this problem. In this paper, we explore in detail a new approach based on kernel regression esti- mates, which is able to estimate a single time delay given several datasets for the same quasar. We develop realistic artificial data sets in order to carry out controlled experiments to test of performance of this new approach. We also test our method on real data from strongly lensed quasar Q0957+561 and compare our estimates against existing results.