Photometric redshift analysis in the Dark Energy Survey Science Verification data

Sanchez, C., Kind, M. Carrasco, Lin, H., Miquel, R., Abdalla, F. B., Amara, A., Banerji, M., Bonnett, C., Brunner, R., Capozzi, D., Carnero, A., Castander, F. J., da Costa, L. A. N., Cunha, C., Fausti, A., Gerdes, D., Greisel, N., Gschwend, J., Hartley, W., Jouvel, S., Lahav, O., Lima, M., Maia, M. A. G., Marti, P., Ogando, R. L. C., Ostrovski, F., Pellegrini, P., Rau, M. M., Sadeh, I., Seitz, S., Sevilla-Noarbe, I., Sypniewski, A., de Vicente, J., Abbot, T., Allam, S. S., Atlee, D., Bernstein, G., Bernstein, J. P., Buckley-Geer, E., Burke, D., Childress, M. J., Davis, T., DePoy, D. L., Dey, A., Desai, S., Diehl, H. T., Doel, P., Estrada, J., Evrard, A., Fernandez, E., Finley, D., Flaugher, B., Frieman, J., Gaztanaga, E., Glazebrook, K., Honscheid, K., Kim, A., Kuehn, K., Kuropatkin, N., Lidman, C., Makler, M., Marshall, J. L., Nichol, R. C., Roodman, A., Sanchez, E., Santiago, B. X., Sako, M., Scalzo, R., Smith, R. C., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Uddin, S. A., Valdes, F., Walker, A., Yuan, F. and Zuntz, J. (2014) Photometric redshift analysis in the Dark Energy Survey Science Verification data. Monthly Notices of the Royal Astronomical Society, 445 2: 1482-1506. doi:10.1093/mnras/stu1836

Author Sanchez, C.
Kind, M. Carrasco
Lin, H.
Miquel, R.
Abdalla, F. B.
Amara, A.
Banerji, M.
Bonnett, C.
Brunner, R.
Capozzi, D.
Carnero, A.
Castander, F. J.
da Costa, L. A. N.
Cunha, C.
Fausti, A.
Gerdes, D.
Greisel, N.
Gschwend, J.
Hartley, W.
Jouvel, S.
Lahav, O.
Lima, M.
Maia, M. A. G.
Marti, P.
Ogando, R. L. C.
Ostrovski, F.
Pellegrini, P.
Rau, M. M.
Sadeh, I.
Seitz, S.
Sevilla-Noarbe, I.
Sypniewski, A.
de Vicente, J.
Abbot, T.
Allam, S. S.
Atlee, D.
Bernstein, G.
Bernstein, J. P.
Buckley-Geer, E.
Burke, D.
Childress, M. J.
Davis, T.
DePoy, D. L.
Dey, A.
Desai, S.
Diehl, H. T.
Doel, P.
Estrada, J.
Evrard, A.
Fernandez, E.
Finley, D.
Flaugher, B.
Frieman, J.
Gaztanaga, E.
Glazebrook, K.
Honscheid, K.
Kim, A.
Kuehn, K.
Kuropatkin, N.
Lidman, C.
Makler, M.
Marshall, J. L.
Nichol, R. C.
Roodman, A.
Sanchez, E.
Santiago, B. X.
Sako, M.
Scalzo, R.
Smith, R. C.
Swanson, M. E. C.
Tarle, G.
Thomas, D.
Tucker, D. L.
Uddin, S. A.
Valdes, F.
Walker, A.
Yuan, F.
Zuntz, J.
Title Photometric redshift analysis in the Dark Energy Survey Science Verification data
Journal name Monthly Notices of the Royal Astronomical Society   Check publisher's open access policy
ISSN 0035-8711
Publication date 2014-12-01
Year available 2014
Sub-type Article (original research)
DOI 10.1093/mnras/stu1836
Open Access Status DOI
Volume 445
Issue 2
Start page 1482
End page 1506
Total pages 25
Place of publication Oxford, United Kingdom
Publisher Oxford University Press
Language eng
Formatted abstract
We present results from a study of the photometric redshift performance of the Dark Energy Survey (DES), using the early data from a Science Verification period of observations in late 2012 and early 2013 that provided science-quality images for almost 200 sq. deg. at the nominal depth of the survey. We assess the photometric redshift (photo-z) performance using about 15 000 galaxies with spectroscopic redshifts available from other surveys. These galaxies are used, in different configurations, as a calibration sample, and photo-z's are obtained and studied using most of the existing photo-z codes. A weighting method in a multidimensional colour–magnitude space is applied to the spectroscopic sample in order to evaluate the photo-z performance with sets that mimic the full DES photometric sample, which is on average significantly deeper than the calibration sample due to the limited depth of spectroscopic surveys. Empirical photo-z methods using, for instance, artificial neural networks or random forests, yield the best performance in the tests, achieving core photo-z resolutions σ68 ∼ 0.08. Moreover, the results from most of the codes, including template-fitting methods, comfortably meet the DES requirements on photo-z performance, therefore, providing an excellent precedent for future DES data sets.
Keyword Astronomical data bases: surveys
Galaxies: distances and redshifts
Galaxies: statistics
Large-scale structure of Universe
Digital sky survey
VLT Deep Survey
Oscillation spectroscopic survey
Luminous red galaxies
Data release
Target selection
Field south
Blind test
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
Official 2015 Collection
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Citation counts: TR Web of Science Citation Count  Cited 66 times in Thomson Reuters Web of Science Article | Citations
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