TL;DR
This paper develops methods to identify and analyze gravitationally lensed supernovae from blended lightcurves, enabling measurements of time delays crucial for cosmology, with perfect accuracy for delays over 10 days.
Contribution
It introduces new techniques for disentangling lensed supernova images from single lightcurves without fixed templates, improving detection and measurement of time delays.
Findings
100% success in identifying the number of images for delays > 10 days
Effective methods for extracting individual images from blended lightcurves
Potential to enhance cosmological measurements using lensed supernovae
Abstract
Gravitationally lensed Type Ia supernovae are an emerging probe with great potential for constraining dark energy, spatial curvature, and the Hubble constant. The multiple images and their time delayed and magnified fluxes may be unresolved, however, blended into a single lightcurve. We demonstrate methods without a fixed source template matching for extracting the individual images, determining whether there are one (no lensing) or two or four (lensed) images, and measuring the time delays between them that are valuable cosmological probes. We find 100% success for determining the number of images for time delays greater than days.
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