Bonnett, Christopher; Troxel, Michael; Hartley, William; Amara, Adam; Leistedt, Boris; Becker, Matthew R.; Bernstein, Gary M.; Bridle, Sarah Louise; Bruderer, Claudio; Busha, M. T.; Carrasco Kind, Matías; Childress, Michael; Castander Serentill, Francisco Javier; Chang, Chihway; Crocce, Martin; Davis, Tamara M.; Eifler, Tim; Frieman, Joshua A.; Gangkofner, C.; Gaztañaga, Enrique; Glazebrook, Karl; Gruen, Daniel; Kacprzak, Tomasz; King, Anthea L.; Kwan, Juliana; Lahav, Ofer; Lewis, Geraint F.; Lidman, Chris; Lin, H.; MacCrann, Niall; Miquel, Ramon; O'Neill, C. R.; Palmese, A.; Peiris, Hiranya V.; Refregier, Alexandre; Rozo, Eduardo; Rykoff, Eli; Sadeh, Iftach; Sánchez Alonso, Carles; Sheldon, Erin; Uddin, Syed; Wechsler, Risa H.; Zuntz, J.; Abbott, Timothy M. C.; Abdalla, Filipe B.; Allam, Sahar S.; Armstrong, Robert; Banerji, M.; Bauer, Anne Hollister; Benoit-Lévy, Aurélien; Bertin, Emmanuel; Brooks, D.; Buckley-Geer, Elizabeth; Burke, David Lyle; Capozzi, Diego; Carnero Rosell, Aurelio; Carretero Palacios, Jorge; Cunha, Carlos Eduardo; D'Andrea, Christopher B.; Costa, Luiz N. da; DePoy, Darren L.; Desai, S.; Diehl, H. Thomas; Dietrich, Jörg P.; Doel, Peter; Fausti Neto, Angelo; Fernandez, Enrique; Flaugher, Brenna; Fosalba Vela, Pablo; Gerdes, David W.; Gruendl, Robert A.; Honscheid, K.; Jain, Bhuvnesh; James, David J.; Jarvis, Michael; Kim, A. G.; Kuehn, Kyler; Kuropatkin, Nikolay P.; Li, T. S.; Lima, Marcos Vinicius Borges Teixeira; Maia, Marcio Antonio Geimba; March, Marisa Cristina; Marshall, Jennifer L.; Martini, Paul; Melchior, Peter M.; Miller, Christopher J.; Neilsen, Eric H.; Nichol, Robert C.; Nord, Brian Dennis; Ogando, Ricardo L.C.; Plazas Malagón, Andrés Alejandro; Reil, Kevin; Romer, Anita K.; Roodman, Aaron; Sako, Masao; Sanchez-Alvaro, Eusebio; Santiago, Basilio Xavier; Smith, Robert Christopher; Soares-Santos, Marcelle; Sobreira, Flávia; Suchyta, Eric; Swanson, Molly E. C.; Tarle, Gregory; Thaler, Jon J.; Thomas, D.; Vikram, Vinu; Walker, Alistair; DES Collaboration (2016) [Artigo de periódico]
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, ...
