Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing

Bonnett, C.; Troxel, M. A.; Hartley, W.; Amara, A.; Leistedt, B.; Becker, Mr R.; Bernstein, Gm M.; Bridle, Sl L.; Bruderer, C.; Busha, Mt T.; Carrasco Kind, M.; Kind, Mc Carrasco; Childress, Mj J.; Castander, Fj J.; Chang, C.; Crocce, M.; Davis, Tm M.; Eifler, Tf F.; Frieman, J.; Gangkofner, C.; Gaztanaga, E.; Glazebrook, K.; Gruen, D.; Kacprzak, T.; Kwan, J.; Lahav, O.; Lewis, G.; Lidman, C.; Lin, H.; MacCrann, N.; Miquel, R.; O'Neill, Cr R.; Palmese, A.; Peiris, Hv; Refregier, A.; Rozo, E.; Rykoff, Es S.; Sadeh, I.; Sánchez, C.; Sanchez, C.; Sheldon, E.; Uddin, S.; Wechsler, Rh H.; Zuntz, J.; Abbott, T.; Abdalla, Fb B.; King, A.; Allam, S.; Armstrong, R.; Banerji, M.; Bauer, Ah H.; Benoit-Levy, A.; Bertin, E.; Brooks, D.; Buckley-Geer, E.; Burke, Dl L.; Capozzi, D.; Rosell, A. Carnero; da Costa, Ln N.; Carnero Rosell, A.; Carretero, J.; Cunha, Ce E.; D'Andrea, Cb B.; Da Costa, L. N.; Depoy, Dl L.; Desai, S.; Diehl, Ht T.; Dietrich, Jp P.; Doel, P.; Neto, A. Fausti; Fausti Neto, A.; Fernandez, E.; Flaugher, B.; Fosalba, P.; Gerdes, Dw W.; Gruendl, Ra A.; Honscheid, K.; Jain, B.; James, Dj J.; Jarvis, M.; Kim, Ag G.; Kuehn, K.; Kuropatkin, N.; Li, Ts S.; Lima, M.; Maia, Mag A. G.; March, M.; Marshall, Jl L.; Martini, P.; Melchior, P.; Miller, Cj J.; Neilsen, E.; Nichol, Rc C.; Nord, B.; Ogando, R.; Plazas, Aa A.; Reil, K.; Romer, Ak K.; Roodman, A.; Sako, M.; Sanchez, E.; Santiago, B.; Smith, Rc C.; Soares-Santos, M.; Sobreira, F.; Suchyta, E.; Swanson, Mec E. C.; Tarle, G.; Thaler, J.; Thomas, D.; Vikram,; Walker, Ar R.; Collaboration, Dark Energy Survey

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American Physical Society, Physical Review D, 4(94), 2016

DOI: 10.1103/physrevd.94.042005

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Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing

Journal article published in 2016 by C. Bonnett, M. A. Troxel, W. Hartley, A. Amara, B. Leistedt, Mr R. Becker

, Gm M. Bernstein

, Sl L. Bridle, C. Bruderer, Mt T. Busha, M. Carrasco Kind, Mc Carrasco Kind, Mj J. Childress, Fj J. Castander, C. Chang and other authors.

This paper is made freely available by the publisher.

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Abstract

We present photometric redshift estimates for galaxies used in the weak lensing analysis of the Dark Energy Survey Science Verification (DES SV) data. Four model- or machine learning-based photometric redshift methods—annz2, bpz calibrated against BCC-Ufig simulations, skynet, and tpz—are analyzed. For training, calibration, and testing of these methods, we construct a catalogue of spectroscopically confirmed galaxies matched against DES SV data. The performance of the methods is evaluated against the matched spectroscopic catalogue, focusing on metrics relevant for weak lensing analyses, with additional validation against COSMOS photo-z’s. From the galaxies in the DES SV shear catalogue, which have mean redshift 0.72±0.01 over the range 0.3

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Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing

Abstract