Dark Energy Survey Year 1 results: cross-correlation redshifts – methods and systematics characterization
Monthly Notices of the Royal Astronomical Society2018Vol. 477(2), pp. 1664–1682
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M. Gatti, P Vielzeuf, C. Davis, R. Cawthon, Markus Michael Rau, Joseph DeRose, J. De Vicente, A. Alarcon, Eduardo Rozo, E. Gaztañaga, B. Hoyle, R. Miquel, G. M. Bernstein, C. Bonnett, A. Carnero Rosell, F. J. Castander, C. Chang, L. da Costa, D. Gruen, J. Gschwend, W G Hartley, H. Lin, N. MacCrann, M. A. G. Maia, R. L. C. Ogando, A. Roodman, I. Sevilla-Noarbe, M. A. Troxel, Risa H. Wechsler, J. Asorey, T. M. Davis, Karl Glazebrook, S. R. Hinton, Geraint F. Lewis, C. Lidman, E. Macaulay, A. Möller, C. R. O’Neill, N. E. Sommer, S. A. Uddin, F. Yuan, B Zhang, T. M. C. Abbott, S. Allam, J. Annis, K. Bechtol, D. Brooks, D. L. Burke, D. Carollo, M. Carrasco Kind, J. Carretero, C. E. Cunha, C. B. D’Andrea, D. L. DePoy, S. Desai, T. F. Eifler, A. E. Evrard, B. Flaugher, P. Fosalba, J. Frieman, J. García-Bellido, D. W. Gerdes, D. A. Goldstein, R. A. Gruendl, G. Gutiérrez, K. Honscheid, J. K. Hoormann, Bhuvnesh Jain, D. J. James, Mike Jarvis, T. Jeltema, Michele Johnson, M. D. Johnson, E. Krause, K. Kuehn, S. E. Kuhlmann, N. Kuropatkin, T. S. Li, M. Lima, J. L. Marshall, P. Melchior, F. Menanteau, R. C. Nichol, B. Nord, A. A. Plazas, K. Reil, E. S. Rykoff, M. Šako, E. Sánchez, V. Scarpine, M. Schubnell, E. Sheldon, M. Smith, R. C. Smith, M. Soares-Santos, F. Sobreira, E. Suchyta, M. E. C. Swanson, G. Tarlé, D. Thomas, B. Tucker, D. L. Tucker, V. Vikram, A. R. Walker, J. Weller, W. C. Wester, R. C. Wolf
Abstract
We use numerical simulations to characterize the performance of a clustering-based method to calibrate photometric redshift biases. In particular, we cross-correlate the weak lensing source galaxies from the Dark Energy Survey Year 1 sample with redMaGiC galaxies (luminous red galaxies with secure photometric redshifts) to estimate the redshift distribution of the former sample. The recovered redshift distributions are used to calibrate the photometric redshift bias of standard photo-z methods applied to the same source galaxy sample. We apply the method to two photo-z codes run in our simulated data: Bayesian Photometric Redshift and Directional Neighbourhood Fitting. We characterize the systematic uncertainties of our
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