DES Science Portal: Computing Photometric Redshifts
Julia Gschwend
,
Aurelio Carnero
,
Ricardo L.C. Ogando
,
Angelo F. Neto
,
Marcio A.G. Maia
,
Luiz A.N. da Costa
,
Marcos Lima
,
Paulo S. Pellegrini
,
Riccardo Campisano
,
Cristiano P. Singulani
,
Carlos A. Souza
,
Matias Carrasco Kind
,
Tamara M. Davis
,
Juan de Vicente
,
Will Hartley
,
Ben Hoyle
,
Antonella Palmese
,
Markus Rau
,
Iftach Sadeh
,
Filipe B. Abdalla
,
Sahar Allam
,
Jacobo Asorey
,
Aurelién Benoit-Lévy
(1)
,
Emmanuel Bertin
(1)
,
David Brooks
,
Elizabeth Buckley-Geer
,
Jorge Carretero
,
Francisco J. Castander
,
Carlos Cunha
,
Chris d'Andrea
,
Darren Depoy
,
Shantanu Desai
,
Peter Doel
,
Tim Eifler
,
August Evrard
,
Pablo Fosalba
,
Josh Frieman
,
Juan García-Bellido
,
Enrique Gaztanaga
,
Tommaso Giannantonio
,
Karl Glazebrook
,
Robert Gruendl
,
Gaston Gutierrez
,
Samuel Hinton
,
Janie Hoormann
,
David James
,
Anthea King
,
Kyler Kuehn
,
Nikolay Kuropatkin
,
Ofer Lahav
,
Geraint Lewis
,
Chris Lidman
,
Edward Macaulay
,
Marisa March
,
Jennifer Marshall
,
Paul Martini
,
Felipe Menanteau
,
Ramon Miquel
,
Anais Möller
,
Dale Mudd
,
Andrés Plazas
,
Kathy Romer
,
Eusebio Sanchez
,
Basilio Santiago
,
Vic Scarpine
,
Ignacio Sevilla-Noarbe
,
Robert Sharp
,
Mathew Smith
,
Marcelle Soares-Santos
,
Flavia Sobreira
,
Natalia Eiré Sommer
,
Eric Suchyta
,
Molly Swanson
,
Brad E. Tucker
,
Douglas Tucker
,
Syed Uddin
,
Alistair Walker
,
Bonnie R. Zhang
Julia Gschwend
- Function : Author
Aurelio Carnero
- Function : Author
Ricardo L.C. Ogando
- Function : Author
Angelo F. Neto
- Function : Author
Marcio A.G. Maia
- Function : Author
Luiz A.N. da Costa
- Function : Author
Marcos Lima
- Function : Author
Paulo S. Pellegrini
- Function : Author
Riccardo Campisano
- Function : Author
Cristiano P. Singulani
- Function : Author
Carlos A. Souza
- Function : Author
Matias Carrasco Kind
- Function : Author
Tamara M. Davis
- Function : Author
Juan de Vicente
- Function : Author
Will Hartley
- Function : Author
Ben Hoyle
- Function : Author
Antonella Palmese
- Function : Author
Markus Rau
- Function : Author
Iftach Sadeh
- Function : Author
Filipe B. Abdalla
- Function : Author
Sahar Allam
- Function : Author
Jacobo Asorey
- Function : Author
David Brooks
- Function : Author
- PersonId : 783199
- ORCID : 0000-0002-6758-2186
Elizabeth Buckley-Geer
- Function : Author
Jorge Carretero
- Function : Author
Francisco J. Castander
- Function : Author
Carlos Cunha
- Function : Author
Chris d'Andrea
- Function : Author
Darren Depoy
- Function : Author
Shantanu Desai
- Function : Author
Peter Doel
- Function : Author
Tim Eifler
- Function : Author
August Evrard
- Function : Author
Pablo Fosalba
- Function : Author
Josh Frieman
- Function : Author
Juan García-Bellido
- Function : Author
Enrique Gaztanaga
- Function : Author
Tommaso Giannantonio
- Function : Author
Karl Glazebrook
- Function : Author
Robert Gruendl
- Function : Author
Gaston Gutierrez
- Function : Author
Samuel Hinton
- Function : Author
Janie Hoormann
- Function : Author
David James
- Function : Author
Anthea King
- Function : Author
Kyler Kuehn
- Function : Author
Nikolay Kuropatkin
- Function : Author
Ofer Lahav
- Function : Author
Geraint Lewis
- Function : Author
Chris Lidman
- Function : Author
- PersonId : 759871
- ORCID : 0000-0003-1731-0497
Edward Macaulay
- Function : Author
Marisa March
- Function : Author
Jennifer Marshall
- Function : Author
Paul Martini
- Function : Author
Felipe Menanteau
- Function : Author
Ramon Miquel
- Function : Author
Anais Möller
- Function : Author
Dale Mudd
- Function : Author
Andrés Plazas
- Function : Author
Kathy Romer
- Function : Author
Eusebio Sanchez
- Function : Author
Basilio Santiago
- Function : Author
Vic Scarpine
- Function : Author
Ignacio Sevilla-Noarbe
- Function : Author
Robert Sharp
- Function : Author
Mathew Smith
- Function : Author
Marcelle Soares-Santos
- Function : Author
Flavia Sobreira
- Function : Author
Natalia Eiré Sommer
- Function : Author
Eric Suchyta
- Function : Author
Molly Swanson
- Function : Author
Brad E. Tucker
- Function : Author
Douglas Tucker
- Function : Author
Syed Uddin
- Function : Author
Alistair Walker
- Function : Author
Bonnie R. Zhang
- Function : Author
Abstract
A significant challenge facing photometric surveys for cosmological purposes is the need to produce reliable redshift estimates. The estimation of photometric redshifts (photo- z s) has been consolidated as the standard strategy to bypass the high production costs and incompleteness of spectroscopic redshift samples. Training-based photo- z methods require the preparation of a high-quality list of spectroscopic redshifts, which needs to be constantly updated. The photo- z training, validation, and estimation must be performed in a consistent and reproducible way in order to accomplish the scientific requirements. To meet this purpose, we developed an integrated web-based data interface that not only provides the framework to carry out the above steps in a systematic way, enabling the ease testing and comparison of different algorithms, but also addresses the processing requirements by parallelizing the calculation in a transparent way for the user. This framework called the Science Portal (hereafter Portal) was developed in the context the Dark Energy Survey (DES) to facilitate scientific analysis. In this paper, we show how the Portal can provide a reliable environment to access vast datasets, provide validation algorithms and metrics, even in the case of multiple photo- z s methods. It is possible to maintain the provenance between the steps of a chain of workflows while ensuring reproducibility of the results. We illustrate how the Portal can be used to provide photo- z estimates using the DES first year (Y1A1) data. While the DES collaboration is still developing techniques to obtain more precise photo- z s, having a structured framework like the one presented here is critical for the systematic vetting of DES algorithmic improvements and the consistent production of photo- z s in future DES releases.