An Extended Catalog of Galaxy-Galaxy Strong Gravitational Lenses Discovered in DES Using Convolutional Neural Networks Academic Article uri icon


  • 2019. The American Astronomical Society. All rights reserved.. We search Dark Energy Survey (DES) Year 3 imaging for galaxy-galaxy strong gravitational lenses using convolutional neural networks, extending previous work with new training sets and covering a wider range of redshifts and colors. We train two neural networks using images of simulated lenses, then use them to score postage-stamp images of 7.9 million sources from DES chosen to have plausible lens colors based on simulations. We examine 1175 of the highest-scored candidates and identify 152 probable or definite lenses. Examining an additional 20,000 images with lower scores, we identify a further 247 probable or definite candidates. After including 86 candidates discovered in earlier searches using neural networks and 26 candidates discovered through visual inspection of blue-near-red objects in the DES catalog, we present a catalog of 511 lens candidates.

published proceedings


altmetric score

  • 6.25

author list (cited authors)

  • Jacobs, C., Collett, T., Glazebrook, K., Buckley-Geer, E., Diehl, H. T., Lin, H., ... Zhang, Y.

citation count

  • 58

complete list of authors

  • Jacobs, C||Collett, T||Glazebrook, K||Buckley-Geer, E||Diehl, HT||Lin, H||McCarthy, C||Qin, AK||Odden, C||Escudero, M Caso||Dial, P||Yung, VJ||Gaitsch, S||Pellico, A||Lindgren, KA||Abbott, TMC||Annis, J||Avila, S||Brooks, D||Burke, DL||Rosell, A Carnero||Kind, M Carrasco||Carretero, J||Costa, LN da||Vicente, J De||Fosalba, P||Frieman, J||GarcĂ­a-Bellido, J||Gaztanaga, E||Goldstein, DA||Gruen, D||Gruendl, RA||Gschwend, J||Hollowood, DL||Honscheid, K||Hoyle, B||James, DJ||Krause, E||Kuropatkin, N||Lahav, O||Lima, M||Maia, MAG||Marshall, JL||Miquel, R||Plazas, AA||Roodman, A||Sanchez, E||Scarpine, V||Serrano, S||Sevilla-Noarbe, I||Smith, M||Sobreira, F||Suchyta, E||Swanson, MEC||Tarle, G||Vikram, V||Walker, AR||Zhang, Y

publication date

  • July 2019