Session Number
Session 3I: 2nd Presentation
Advisor(s)
Brian Nord, Fermilab
Location
Room B108
Start Date
28-4-2017 1:15 PM
End Date
28-4-2017 2:30 PM
Abstract
We report results from an automated method to identify lensed quasars from the Dark Energy Survey using a PSF-difference-based algorithm aimed at identifying close-separation lens candidates. The PSFdifference algorithm utilizes the difference between PSF magnitude and model magnitude, as well as image segmentation, to deblend and identify close-separation candidates. In total, the algorithms identified 156 final lens candidates and also identified a number of known lensed quasars within the DES footprint, indicating that the method described in this paper is effective in identifying candidate lensed quasars. Quasar colors from WISE and VISTA were used to constraining the final candidates. Efforts to obtain follow-up observations for confirmation of the final candidates are ongoing using the SOAR and NTT telescopes, and constraints on cosmological parameters will be discussed in future papers.
Session 3I: Search for Gravitationally Lensed Quasars in the Dark Energy Survey
Room B108
We report results from an automated method to identify lensed quasars from the Dark Energy Survey using a PSF-difference-based algorithm aimed at identifying close-separation lens candidates. The PSFdifference algorithm utilizes the difference between PSF magnitude and model magnitude, as well as image segmentation, to deblend and identify close-separation candidates. In total, the algorithms identified 156 final lens candidates and also identified a number of known lensed quasars within the DES footprint, indicating that the method described in this paper is effective in identifying candidate lensed quasars. Quasar colors from WISE and VISTA were used to constraining the final candidates. Efforts to obtain follow-up observations for confirmation of the final candidates are ongoing using the SOAR and NTT telescopes, and constraints on cosmological parameters will be discussed in future papers.