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Discovering Strong Gravitational Lenses in the Dark Energy Survey with Interactive Machine Learning and Crowd-sourced Inspection with Space Warps

  • Authors: J. González, P. Holloway, T. Collett, A. Verma, K. Bechtol, P. Marshall, A. More, J. Acevedo Barroso, G. Cartwright, M. Martinez, T. Li, K. Rojas, S. Schuldt, S. Birrer, H. T. Diehl, R. Morgan, A. Drlica-Wagner, J. H. O'Donnell, E. Zaborowski, B. Nord, E. M. Baeten, L. C. Johnson, C. Macmillan, T. M. C. Abbott, M. Aguena, S. S. Allam, D. Brooks, E. Buckley-Geer, D. L. Burke, A. Carnero Rosell, J. Carretero, R. Cawthon, T. M. Davis, J. De Vicente, S. Desai, P. Doel, S. Everett, B. Flaugher, J. Frieman, J. García-Bellido, E. Gaztanaga, G. Giannini, D. Gruen, R. A. Gruendl, G. Gutierrez, S. R. Hinton, D. L. Hollowood, K. Honscheid, D. J. James, K. Kuehn, O. Lahav, S. Lee, M. Lima, J. L. Marshall, J. Mena-Fernández, R. Miquel, J. Myles, M. E. S. Pereira, A. Pieres, A. A. Plazas Malagón, A. Roodman, S. Samuroff, E. Sanchez, D. Sanchez Cid, B. Santiago, I. Sevilla-Noarbe, M. Smith, E. Suchyta, G. Tarle, D. L. Tucker, V. Vikram, A. R. Walker, N. Weaverdyck

J. González et al 2026 The Astrophysical Journal 1002 .

  • Provider: AAS Journals

Caption: Figure 8.

Screenshot from the Space Warps citizen science project on Zooniverse. Participants were shown each candidate in four distinct PNG filters designed to highlight different image features and were asked to place at least one mark in the image if strong lensing features were recognized.

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