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Star-galaxy classification in the Dark Energy Survey Y1 dataset

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arxiv 1805.02427 v3 pith:74YF6DDH submitted 2018-05-07 astro-ph.IM astro-ph.CO

Star-galaxy classification in the Dark Energy Survey Y1 dataset

I. Sevilla-Noarbe , B. Hoyle , M. J. March\~a , M. T. Soumagnac , K. Bechtol , A. Drlica-Wagner , F. Abdalla , J. Aleksi\'c
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C. Avestruz E. Balbinot M. Banerji E. Bertin C. Bonnett R. Brunner M. Carrasco-Kind A. Choi T. Giannantonio E. Kim O. Lahav B. Moraes B. Nord A. J. Ross E. S. Rykoff B. Santiago E. Sheldon K. Wei W. Wester B. Yanny T. Abbott S. Allam D. Brooks A. Carnero-Rosell J. Carretero C. Cunha L. da Costa C. Davis J. de Vicente S. Desai P. Doel E. Fernandez B. Flaugher J. Frieman J. Garcia-Bellido E. Gaztanaga D. Gruen R. Gruendl J. Gschwend G. Gutierrez D. L. Hollowood K. Honscheid D. James T. Jeltema D. Kirk E. Krause K. Kuehn T. S. Li M. Lima M. A. G. Maia M. March R. G. McMahon F. Menanteau R. Miquel R. L. C. Ogando A. A. Plazas E. Sanchez V. Scarpine R. Schindler M. Schubnell M. Smith R. C. Smith M. Soares-Santos F. Sobreira E. Suchyta M. E. C. Swanson G. Tarle D. Thomas D. L. Tucker A. R. Walker
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classification astro-ph.IM astro-ph.CO
keywords studiesclassificationclassifierscontaminationdarkdatadatasetsenergy
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We perform a comparison of different approaches to star-galaxy classification using the broad-band photometric data from Year 1 of the Dark Energy Survey. This is done by performing a wide range of tests with and without external `truth' information, which can be ported to other similar datasets. We make a broad evaluation of the performance of the classifiers in two science cases with DES data that are most affected by this systematic effect: large-scale structure and Milky Way studies. In general, even though the default morphological classifiers used for DES Y1 cosmology studies are sufficient to maintain a low level of systematic contamination from stellar mis-classification, contamination can be reduced to the O(1%) level by using multi-epoch and infrared information from external datasets. For Milky Way studies the stellar sample can be augmented by ~20% for a given flux limit. Reference catalogs used in this work will be made available upon publication.

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  1. Infrared-enhanced Photometric Redshifts for the Dark Energy Survey Y6 Gold catalogue

    astro-ph.CO 2026-07 accept novelty 4.0

    DES+WISE W1/W2 photometry significantly reduces photo-z scatter, bias and outliers versus optical-only DES, while VHS adds only marginal gains at z<1.5.