Now showing items 1-5 of 5

    • Detecting massive galaxies at high redshift using the Dark Energy Survey 

      Davies, L. J. M.; Maraston, Claudia; Thomas, D.; Capozzi, Diego; Wechsler, Risa H.; Busha, M. T.; Banerji, M.; Ostrovski, F.; Papovich, Casey; Santiago, Basilio Xavier; Nichol, Robert C.; Maia, Marcio Antonio Geimba; Costa, Luiz N. da (2013) [Journal article]
      The Dark Energy Survey (DES) will be unprecedented in its ability to probe exceptionally large cosmic volumes to relatively faint optical limits. Primarily designed for the study of comparatively low-redshift (z<2) galaxies ...
    • Mapping and simulating systematics due to spatially varying observing conditions in DES Science Verification data 

      Leistedt, Boris; Peiris, Hiranya V.; Elsner, Franz; Benoit-Lévy, Aurélien; Amara, Adam; Bauer, Anne Hollister; Becker, Matthew R.; Bonnett, Christopher; Bruderer, Claudio; Busha, M. T.; Carrasco Kind, Matías; Chang, Chihway; Crocce, Martin; Costa, Luiz N. da; Gaztañaga, Enrique; Huff, Eric; Lahav, Ofer; Palmese, A.; Percival, Will J.; Refregier, Alexandre; Ross, A.J.; Rozo, Eduardo; Rykoff, Eli; Sánchez Alonso, Carles; Sadeh, Iftach; Sevilla Noarbe, Ignacio; Sobreira, Flávia; Suchyta, Eric; Swanson, Molly E. C.; Wechsler, Risa H.; Abdalla, Filipe B.; Allam, Sahar S.; Banerji, M.; Bernstein, Gary M.; Bernstein, Rebecca A.; Bertin, Emmanuel; Bridle, Sarah Louise; Brooks, D.; Buckley-Geer, Elizabeth; Burke, David Lyle; Capozzi, Diego; Carnero Rosell, Aurelio; Carretero Palacios, Jorge; Cunha, Carlos Eduardo; D'Andrea, Christopher B.; DePoy, Darren L.; Desai, S.; Diehl, H. Thomas; Doel, Peter; Eifler, Tim; Evrard, August E.; Fausti Neto, Angelo; Flaugher, Brenna; Fosalba Vela, Pablo; Frieman, Joshua A.; Gerdes, David W.; Gruen, Daniel; Gruendl, Robert A.; Gutierrez, Gaston R.; Honscheid, K.; James, David J.; Jarvis, Michael; Kent, Stephen M.; 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.; Miquel, Ramon; Nichol, Robert C.; Nord, Brian Dennis; Ogando, Ricardo L.C.; Plazas Malagón, Andrés Alejandro; Reil, Kevin; Romer, Anita K.; Roodman, Aaron; Sanchez-Alvaro, Eusebio; Santiago, Basilio Xavier; Scarpine, Victor Emanuel; Schubnell, Michael; Smith, Robert Christopher; Soares-Santos, Marcelle; Tarle, Gregory; Thaler, Jon J.; Thomas, D.; Vikram, Vinu; Walker, Alistair; Wester, William Carl; Zhang, Yuanyuan; Zuntz, J. (2016) [Journal article]
      Spatially varying depth and the characteristics of observing conditions, such as seeing, airmass, or sky background, are major sources of systematic uncertainties in modern galaxy survey analyses, particularly in deep ...
    • Modeling the transfer function for the Dark Energy Survey 

      Chang, Chihway; Busha, M. T.; Wechsler, Risa H.; Refregier, Alexandre; Amara, Adam; Rykoff, Eli; Becker, Matthew R.; Bruderer, Claudio; Gamper, L.; Leistedt, Boris; Peiris, Hiranya V.; Abbott, Timothy M. C.; Abdalla, Filipe B.; Balbinot, Eduardo; Banerji, M.; Bernstein, Rebecca A.; Bertin, Emmanuel; Brooks, D.; Carnero Rosell, Aurelio; Desai, S.; Costa, Luiz N. da; Cunha, Carlos Eduardo; Eifler, Tim; Evrard, August E.; Fausti Neto, Angelo; Gerdes, David W.; Gruen, Daniel; James, David J.; Kuehn, Kyler; Maia, Marcio Antonio Geimba; Makler, Martín; Ogando, Ricardo L.C.; Plazas Malagón, Andrés Alejandro; Sanchez-Alvaro, Eusebio; Santiago, Basilio Xavier; Schubnell, Michael; Sevilla Noarbe, Ignacio; Smith, Robert Christopher; Soares-Santos, Marcelle; Suchyta, Eric; Swanson, Molly E. C.; Tarle, Gregory; Zuntz, J. (2015) [Journal article]
      We present a forward-modeling simulation framework designed to model the data products from the Dark Energy Survey (DES). This forward-model process can be thought of as a transfer function—amapping from cosmological/ ...
    • 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) [Journal article]
      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, ...
    • Star/galaxy separation at faint magnitudes : application to a simulated Dark Energy Survey 

      Soumagnac, Maayane Tamar; Abdalla, Filipe B.; Lahav, Ofer; Kirk, Donnacha; Sevilla Noarbe, Ignacio; Bertin, Emmanuel; Rowe, Barnaby T. P.; Annis, James T.; Busha, M. T.; Costa, Luiz N. da; Frieman, Joshua A.; Gaztañaga, Enrique; Jarvis, Michael; Lin, H.; Percival, Will J.; Santiago, Basilio Xavier; Sabiu, Cristiano Giovanni; Wechsler, Risa H.; Wolz, Laura; Yanny, Brian (2015) [Journal article]
      We address the problem of separating stars from galaxies in future large photometric surveys. We focus our analysis on simulations of the Dark Energy Survey (DES). In the first part of the paper, we derive the science ...