VizieR Online Data Catalog: Strong lensing in UNIONS (Savary+, 2022)
Abstract
In this paper we presented the design of an automated pipeline to find galaxy-scale strong lenses using convolutional neural networks and applied it to the CFIS wide-field optical imaging survey being carried out with the 3.6 m CFHT in Hawaii. We used only the deep and sharp r-band images for which the median seeing is 0.6" down to a 10σ depth of r=24.6. We used 2500deg2 of CFIS in the present work since the survey is still ongoing; it is expected to reach a total area of 5000 deg2 of the northern sky, when completed.
Following the visual inspection, we found 32 objects with striking lensing features and 101 objects that show strong signs of lensing but that need further data to confirm (i.e., higher resolution, and deeper imaging and/or spectroscopy). A by-product of our simulations set is that we were able to train auto-encoders to learn the lens light and lensed-source light separately and we then deblended the lens plane from the source plane for all 133 objects. We also produced a catalog of contaminants that mimic lensing geometry (i.e., 238 mergers, 369 ring galaxies, and 961 spiral galaxies). (5 data files).- Publication:
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VizieR Online Data Catalog
- Pub Date:
- June 2022
- DOI:
- 10.26093/cds/vizier.36660001
- Bibcode:
- 2022yCat..36660001S
- Keywords:
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- Surveys;
- Gravitational lensing