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@ARTICLE{Gschwend:411437,
      author       = {Gschwend, J. and Rossel, A. C. and Ogando, R. L. C. and
                      Neto, A. F. and Maia, M. A. G. and da Costa, L. N. and Lima,
                      M. and Pellegrini, P. and Campisano, R. and Singulani, C.
                      and Adean, C. and Benoist, C. and Aguena, M. and Carrasco
                      Kind, M. and Davis, T. M. and de Vicente, J. and Hartley, W.
                      G. and Hoyle, B. and Palmese, A. and Sadeh, I. and Abbott,
                      T. M. C. and Abdalla, F. B. and Allam, S. and Annis, J. and
                      Asorey, J. and Brooks, D. and Calcino, J. and Carollo, D.
                      and Castander, F. J. and D’Andrea, C. B. and Desai, S. and
                      Evrard, A. E. and Fosalba, P. and Frieman, J. and
                      García-Bellido, J. and Glazebrook, K. and Gerdes, D. W. and
                      Gruendl, R. A. and Gutierrez, G. and Hinton, S. and
                      Hollowood, D. L. and Honscheid, K. and Hoormann, J. K. and
                      James, D. J. and Kuehn, K. and Kuropatkin, N. and Lahav, O.
                      and Lewis, G. and Lidman, C. and Lin, H. and Macaulay, E.
                      and Marshall, J. and Melchior, P. and Miquel, R. and
                      Möller, A. and Plazas, A. A. and Sanchez, E. and Santiago,
                      B. and Scarpine, V. and Schindler, R. H. and Sevilla-Noarbe,
                      I. and Smith, M. and Sobreira, F. and Sommer, N. E. and
                      Suchyta, E. and Swanson, M. E. C. and Tarle, G. and Tucker,
                      B. E. and Tucker, D. L. and Uddin, S. and Walker, A. R.},
      title        = {{DES} science portal: {C}omputing photometric redshifts},
      journal      = {Astronomy and computing},
      volume       = {25},
      issn         = {2213-1337},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {PUBDB-2018-03718},
      pages        = {58-80},
      year         = {2018},
      note         = {© Elsevier B.V.},
      abstract     = {A significant challenge facing photometric surveys for
                      cosmological purposes is the need to produce reliable
                      redshift estimates. The estimation of photometric redshifts
                      (photo-s) has been consolidated as the standard strategy to
                      bypass the high production costs and incompleteness of
                      spectroscopic redshift samples. Training-based photo-
                      methods require the preparation of a high-quality list of
                      spectroscopic redshifts, which needs to be constantly
                      updated. The photo- 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-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-
                      estimates using the DES first year (Y1A1) data. While the
                      DES collaboration is still developing techniques to obtain
                      more precise photo-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-zs in future DES releases.},
      cin          = {ZEU-EXP/AT},
      ddc          = {520},
      cid          = {$I:(DE-H253)ZEU-EXP_AT-20120731$},
      pnm          = {613 - Matter and Radiation from the Universe (POF3-613)},
      pid          = {G:(DE-HGF)POF3-613},
      experiment   = {EXP:(DE-H253)CTA-20150101},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000451390700007},
      doi          = {10.1016/j.ascom.2018.08.008},
      url          = {https://bib-pubdb1.desy.de/record/411437},
}