Deep learning reanalysis of the SHINE F150 sample recovers known companions and identifies 13 new substellar candidates, three of which are photometrically promising with one strong follow-up target.
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New substellar candidates identified through deep learning in the F150 sample of the large-scale SHINE direct imaging survey
Deep learning reanalysis of the SHINE F150 sample recovers known companions and identifies 13 new substellar candidates, three of which are photometrically promising with one strong follow-up target.