Fast and Reliable Time Delay Estimation of Strong Lens Systems Using Method of Smoothing and Cross-Correlation

Abstract

The observable time delays between the multiple images of strong lensing systems with time variable sources can provide us with some valuable information to probe the expansion history of the Universe. Estimation of these time delays can be very challenging due to complexities of the observed data where there are seasonal gaps, various noises and systematics such as unknown microlensing effects. In this paper we introduce a novel approach to estimate the time delays for strong lensing systems implementing various statistical methods of data analysis including the method of smoothing and cross-correlation. The method we introduce in this paper has been recently used in TDC0 and TDC1 Strong Lens Time Delay Challenges and has shown its power in reliable and precise estimation of time delays dealing with data with different complexities.

arXiv comment23 pages, 9 figures, 3 tables, discussions extended, references added, results unchanged, matches final version published in ApJ

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Cited by in corpus (10)

• Time Delay Cosmography
• COSMOGRAIL XIX: Time delays in 18 strongly lensed quasars from 15 years of optical monitoring
• Strong lensing time-delay cosmography in the 2020s
• Be It Unresolved: Measuring Time Delays from Lensed Supernovae
• Doubling Strong Lensing as a Cosmological Probe
• Identifying lensed quasars and measuring their time-delays from unresolved light curves
• TD-CARMA: Painless, accurate, and scalable estimates of gravitational-lens time delays with flexible CARMA processes
• Time Delay Analysis of the Lensed Quasar SDSS J1001+5027
• A novel approach for calculating galaxy rotation curves using spaxel cross-correlation and iterative smoothing
• Model independent approach for calculating galaxy rotation curves for low $S/N$ MaNGA galaxies