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Dark Energy Survey Year 3 Results: Photometric Data Set for Cosmology

  • Authors: I. Sevilla-Noarbe, K. Bechtol, M. Carrasco Kind, A. Carnero Rosell, M. R. Becker, A. Drlica-Wagner, R. A. Gruendl, E. S. Rykoff, E. Sheldon, B. Yanny, A. Alarcon, S. Allam, A. Amon, A. Benoit-Lévy, G. M. Bernstein, E. Bertin, D. L. Burke, J. Carretero, A. Choi, H. T. Diehl, S. Everett, B. Flaugher, E. Gaztanaga, J. Gschwend, I. Harrison, W. G. Hartley, B. Hoyle, M. Jarvis, M. D. Johnson, R. Kessler, R. Kron, N. Kuropatkin, B. Leistedt, T. S. Li, F. Menanteau, E. Morganson, R. L. C. Ogando, A. Palmese, F. Paz-Chinchón, A. Pieres, C. Pond, M. Rodriguez-Monroy, J. Allyn Smith, K. M. Stringer, M. A. Troxel, D. L. Tucker, J. de Vicente, W. Wester, Y. Zhang, T. M. C. Abbott, M. Aguena, J. Annis, S. Avila, S. Bhargava, S. L. Bridle, D. Brooks, D. Brout, F. J. Castander, R. Cawthon, C. Chang, C. Conselice, M. Costanzi, M. Crocce, L. N. da Costa, M. E. S. Pereira, T. M. Davis, S. Desai, J. P. Dietrich, P. Doel, K. Eckert, A. E. Evrard, I. Ferrero, P. Fosalba, J. García-Bellido, D. W. Gerdes, T. Giannantonio, D. Gruen, G. Gutierrez, S. R. Hinton, D. L. Hollowood, K. Honscheid, E. M. Huff, D. Huterer, D. J. James, T. Jeltema, K. Kuehn, O. Lahav, C. Lidman, M. Lima, H. Lin, M. A. G. Maia, J. L. Marshall, P. Martini, P. Melchior, R. Miquel, J. J. Mohr, R. Morgan, E. Neilsen, A. A. Plazas, A. K. Romer, A. Roodman, E. Sanchez, V. Scarpine, M. Schubnell, S. Serrano, M. Smith, E. Suchyta, G. Tarle, D. Thomas, C. To, T. N. Varga, R. H. Wechsler, J. Weller, and R. D. Wilkinson

2021 The Astrophysical Journal Supplement Series 254 24.

  • Provider: AAS Journals

Caption: Figure 9.

Left: efficiency and contamination of point sources in different extended source samples using the VHS color selection as a reference. A large contamination at the bright end can be avoided by using infrared color selection and/or faint magnitude selection when the former is absent. Right: same measurements using the HSC-SSP DR2 catalog as a reference (see Section 3.2). Errors are 95% containment errors computed using a Bayesian approach for efficiencies as detailed in Paterno (2004), and cannot be visualized at this scale as they are ∼0.3%.

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