Navegação por Autor "Gangkofner, C."

Resultados 1-2 de 2

    • Galaxy populations in massive galaxy clusters to z = 1.1 : colour distribution, concentration, halo occupation number and red sequence fraction 

      Hennig, C.; Mohr, Joseph J.; Zenteno, Alfredo; Desai, S.; Dietrich, Jörg P.; Bocquet, Sebastian; Strazzullo, Veronica; Saro, Alexandro; Abbott, Timothy M. C.; Abdalla, Filipe B.; Bayliss, Matthew B.; Benoit-Lévy, Aurélien; Bernstein, Gary M.; Bertin, Emmanuel; Brooks, D.; Capasso, Raffaella; Capozzi, Diego; Carnero Rosell, Aurelio; Carrasco Kind, Matías; Carretero Palacios, Jorge; Chiu, I. Non Tim; D'Andrea, Christopher B.; Costa, Luiz N. da; Diehl, H. Thomas; Doel, Peter; Eifler, Tim; Evrard, August E.; Fausti Neto, Angelo; Fosalba Vela, Pablo; Frieman, Joshua A.; Gangkofner, C.; Gonzalez, Anthony; Gruen, Daniel; Gruendl, Robert A.; Gupta, Nayantara; Gutierrez, Gaston R.; Honscheid, K.; Hlavacek-Larrondo, Julie; James, David J.; Kuehn, Kyler; Kuropatkin, Nikolay P.; Lahav, Ofer; March, Marisa Cristina; Marshall, Jennifer L.; Martini, Paul; McDonald, Michael Kenneth; Melchior, Peter M.; Miller, Christopher J.; Miquel, Ramon; Neilsen, Eric H.; Nord, Brian Dennis; Ogando, Ricardo L.C.; Plazas Malagón, Andrés Alejandro; Reichardt, Christian L.; Romer, Anita K.; Rozo, Eduardo; Rykoff, Eli; Sanchez-Alvaro, Eusebio; Santiago, Basilio Xavier; Schubnell, Michael; Sevilla Noarbe, Ignacio; Smith, Robert Christopher; Soares-Santos, Marcelle; Sobreira, Flávia; Stalder, Brian; Stanford, Spencer Adam; Suchyta, Eric; Swanson, Molly E. C.; Tarle, Gregory; Thomas, D.; Vikram, Vinu; Walker, Alistair; Zhang, Yuanyuan (2017) [Artigo de periódico]
      We study the galaxy populations in 74 Sunyaev–Zeldovich effect selected clusters from the South Pole Telescope survey, which have been imaged in the science verification phase of the Dark Energy Survey. The sample extends ...

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

      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, ...