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Title: Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology

Abstract

In this paper, we describe the creation, content, and validation of the Dark Energy Survey (DES) internal year-one cosmology data set, Y1A1 GOLD, in support of upcoming cosmological analyses. The Y1A1 GOLD data set is assembled from multiple epochs of DES imaging and consists of calibrated photometric zero-points, object catalogs, and ancillary data products—e.g., maps of survey depth and observing conditions, star–galaxy classification, and photometric redshift estimates—that are necessary for accurate cosmological analyses. The Y1A1 GOLD wide-area object catalog consists of $$\sim 137$$ million objects detected in co-added images covering $$\sim 1800\,{\deg }^{2}$$ in the DES grizY filters. The 10σ limiting magnitude for galaxies is $g=23.4$, $r=23.2$, $i=22.5$, $z=21.8$, and $Y=20.1$. Photometric calibration of Y1A1 GOLD was performed by combining nightly zero-point solutions with stellar locus regression, and the absolute calibration accuracy is better than 2% over the survey area. Finally, DES Y1A1 GOLD is the largest photometric data set at the achieved depth to date, enabling precise measurements of cosmic acceleration at z ≲ 1.

Authors:
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Publication Date:
Research Org.:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP)
Contributing Org.:
DES Collaboration
OSTI Identifier:
1436085
Alternate Identifier(s):
OSTI ID: 1389251; OSTI ID: 1435205; OSTI ID: 1437985
Report Number(s):
BNL-114276-2017-JA; FERMILAB-PUB-17-180-AE; arXiv:1708.01531
Journal ID: ISSN 1538-4365; TRN: US1900130
Grant/Contract Number:  
AC02-76SF00515; AC05-00OR22725; AC02-07CH11359; SC0012704
Resource Type:
Accepted Manuscript
Journal Name:
The Astrophysical Journal. Supplement Series (Online)
Additional Journal Information:
Journal Name: The Astrophysical Journal. Supplement Series (Online); Journal Volume: 235; Journal Issue: 2; Journal ID: ISSN 1538-4365
Publisher:
American Astronomical Society/IOP
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; image processing; photometric; surveys; cosmology observations; catalogs; techniques: image processing; techniques: photometric; cosmology: observations; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY

Citation Formats

Drlica-Wagner, A., Sevilla-Noarbe, I., Rykoff, E. S., Gruendl, R. A., Yanny, B., Tucker, D. L., Hoyle, B., Rosell, A. Carnero, Bernstein, G. M., Bechtol, K., Becker, M. R., Benoit-Lévy, A., Bertin, E., Kind, M. Carrasco, Davis, C., Vicente, J. de, Diehl, H. T., Gruen, D., Hartley, W. G., Leistedt, B., Li, T. S., Marshall, J. L., Neilsen, E., Rau, M. M., Sheldon, E., Smith, J., Troxel, M. A., Wyatt, S., Zhang, Y., Abbott, T. M. C., Abdalla, F. B., Allam, S., Banerji, M., Brooks, D., Buckley-Geer, E., Burke, D. L., Capozzi, D., Carretero, J., Cunha, C. E., D’Andrea, C. B., Costa, L. N. da, DePoy, D. L., Desai, S., Dietrich, J. P., Doel, P., Evrard, A. E., Neto, A. Fausti, Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gerdes, D. W., Giannantonio, T., Gschwend, J., Gutierrez, G., Honscheid, K., James, D. J., Jeltema, T., Kuehn, K., Kuhlmann, S., Kuropatkin, N., Lahav, O., Lima, M., Lin, H., Maia, M. A. G., Martini, P., McMahon, R. G., Melchior, P., Menanteau, F., Miquel, R., Nichol, R. C., Ogando, R. L. C., Plazas, A. A., Romer, A. K., Roodman, A., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Smith, M., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Tarle, G., Vikram, V., Walker, A. R., Wechsler, R. H., and Zuntz, J. Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology. United States: N. p., 2018. Web. doi:10.3847/1538-4365/aab4f5.
Drlica-Wagner, A., Sevilla-Noarbe, I., Rykoff, E. S., Gruendl, R. A., Yanny, B., Tucker, D. L., Hoyle, B., Rosell, A. Carnero, Bernstein, G. M., Bechtol, K., Becker, M. R., Benoit-Lévy, A., Bertin, E., Kind, M. Carrasco, Davis, C., Vicente, J. de, Diehl, H. T., Gruen, D., Hartley, W. G., Leistedt, B., Li, T. S., Marshall, J. L., Neilsen, E., Rau, M. M., Sheldon, E., Smith, J., Troxel, M. A., Wyatt, S., Zhang, Y., Abbott, T. M. C., Abdalla, F. B., Allam, S., Banerji, M., Brooks, D., Buckley-Geer, E., Burke, D. L., Capozzi, D., Carretero, J., Cunha, C. E., D’Andrea, C. B., Costa, L. N. da, DePoy, D. L., Desai, S., Dietrich, J. P., Doel, P., Evrard, A. E., Neto, A. Fausti, Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gerdes, D. W., Giannantonio, T., Gschwend, J., Gutierrez, G., Honscheid, K., James, D. J., Jeltema, T., Kuehn, K., Kuhlmann, S., Kuropatkin, N., Lahav, O., Lima, M., Lin, H., Maia, M. A. G., Martini, P., McMahon, R. G., Melchior, P., Menanteau, F., Miquel, R., Nichol, R. C., Ogando, R. L. C., Plazas, A. A., Romer, A. K., Roodman, A., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Smith, M., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Tarle, G., Vikram, V., Walker, A. R., Wechsler, R. H., & Zuntz, J. Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology. United States. https://doi.org/10.3847/1538-4365/aab4f5
Drlica-Wagner, A., Sevilla-Noarbe, I., Rykoff, E. S., Gruendl, R. A., Yanny, B., Tucker, D. L., Hoyle, B., Rosell, A. Carnero, Bernstein, G. M., Bechtol, K., Becker, M. R., Benoit-Lévy, A., Bertin, E., Kind, M. Carrasco, Davis, C., Vicente, J. de, Diehl, H. T., Gruen, D., Hartley, W. G., Leistedt, B., Li, T. S., Marshall, J. L., Neilsen, E., Rau, M. M., Sheldon, E., Smith, J., Troxel, M. A., Wyatt, S., Zhang, Y., Abbott, T. M. C., Abdalla, F. B., Allam, S., Banerji, M., Brooks, D., Buckley-Geer, E., Burke, D. L., Capozzi, D., Carretero, J., Cunha, C. E., D’Andrea, C. B., Costa, L. N. da, DePoy, D. L., Desai, S., Dietrich, J. P., Doel, P., Evrard, A. E., Neto, A. Fausti, Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gerdes, D. W., Giannantonio, T., Gschwend, J., Gutierrez, G., Honscheid, K., James, D. J., Jeltema, T., Kuehn, K., Kuhlmann, S., Kuropatkin, N., Lahav, O., Lima, M., Lin, H., Maia, M. A. G., Martini, P., McMahon, R. G., Melchior, P., Menanteau, F., Miquel, R., Nichol, R. C., Ogando, R. L. C., Plazas, A. A., Romer, A. K., Roodman, A., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Smith, M., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Tarle, G., Vikram, V., Walker, A. R., Wechsler, R. H., and Zuntz, J. Tue . "Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology". United States. https://doi.org/10.3847/1538-4365/aab4f5. https://www.osti.gov/servlets/purl/1436085.
@article{osti_1436085,
title = {Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology},
author = {Drlica-Wagner, A. and Sevilla-Noarbe, I. and Rykoff, E. S. and Gruendl, R. A. and Yanny, B. and Tucker, D. L. and Hoyle, B. and Rosell, A. Carnero and Bernstein, G. M. and Bechtol, K. and Becker, M. R. and Benoit-Lévy, A. and Bertin, E. and Kind, M. Carrasco and Davis, C. and Vicente, J. de and Diehl, H. T. and Gruen, D. and Hartley, W. G. and Leistedt, B. and Li, T. S. and Marshall, J. L. and Neilsen, E. and Rau, M. M. and Sheldon, E. and Smith, J. and Troxel, M. A. and Wyatt, S. and Zhang, Y. and Abbott, T. M. C. and Abdalla, F. B. and Allam, S. and Banerji, M. and Brooks, D. and Buckley-Geer, E. and Burke, D. L. and Capozzi, D. and Carretero, J. and Cunha, C. E. and D’Andrea, C. B. and Costa, L. N. da and DePoy, D. L. and Desai, S. and Dietrich, J. P. and Doel, P. and Evrard, A. E. and Neto, A. Fausti and Flaugher, B. and Fosalba, P. and Frieman, J. and García-Bellido, J. and Gerdes, D. W. and Giannantonio, T. and Gschwend, J. and Gutierrez, G. and Honscheid, K. and James, D. J. and Jeltema, T. and Kuehn, K. and Kuhlmann, S. and Kuropatkin, N. and Lahav, O. and Lima, M. and Lin, H. and Maia, M. A. G. and Martini, P. and McMahon, R. G. and Melchior, P. and Menanteau, F. and Miquel, R. and Nichol, R. C. and Ogando, R. L. C. and Plazas, A. A. and Romer, A. K. and Roodman, A. and Sanchez, E. and Scarpine, V. and Schindler, R. and Schubnell, M. and Smith, M. and Smith, R. C. and Soares-Santos, M. and Sobreira, F. and Suchyta, E. and Tarle, G. and Vikram, V. and Walker, A. R. and Wechsler, R. H. and Zuntz, J.},
abstractNote = {In this paper, we describe the creation, content, and validation of the Dark Energy Survey (DES) internal year-one cosmology data set, Y1A1 GOLD, in support of upcoming cosmological analyses. The Y1A1 GOLD data set is assembled from multiple epochs of DES imaging and consists of calibrated photometric zero-points, object catalogs, and ancillary data products—e.g., maps of survey depth and observing conditions, star–galaxy classification, and photometric redshift estimates—that are necessary for accurate cosmological analyses. The Y1A1 GOLD wide-area object catalog consists of $\sim 137$ million objects detected in co-added images covering $\sim 1800\,{\deg }^{2}$ in the DES grizY filters. The 10σ limiting magnitude for galaxies is $g=23.4$, $r=23.2$, $i=22.5$, $z=21.8$, and $Y=20.1$. Photometric calibration of Y1A1 GOLD was performed by combining nightly zero-point solutions with stellar locus regression, and the absolute calibration accuracy is better than 2% over the survey area. Finally, DES Y1A1 GOLD is the largest photometric data set at the achieved depth to date, enabling precise measurements of cosmic acceleration at z ≲ 1.},
doi = {10.3847/1538-4365/aab4f5},
journal = {The Astrophysical Journal. Supplement Series (Online)},
number = 2,
volume = 235,
place = {United States},
year = {Tue Apr 03 00:00:00 EDT 2018},
month = {Tue Apr 03 00:00:00 EDT 2018}
}

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Methods for rapidly processing angular masks of next-generation galaxy surveys
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Simultaneous Multicolor Detection of Faint Galaxies in the Hubble Deep Field
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The Sloan Digital Sky Survey monitor telescope pipeline
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WHAT LIES BENEATH: USING p ( z ) TO REDUCE SYSTEMATIC PHOTOMETRIC REDSHIFT ERRORS
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The Fourth us Naval Observatory ccd Astrograph Catalog (Ucac4)
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Crowded Cluster Cores: An Algorithm for Deblending in Dark Energy Survey Images
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CASSPER is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy
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The VIMOS-VLT deep survey: Evolution of the galaxy luminosity function up to
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Star/galaxy separation at faint magnitudes: application to a simulated Dark Energy Survey
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The Dark Energy Survey Data Management System
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Star-Galaxy Classification in Multi-Band Optical Imaging
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Weighing the Giants II: Improved Calibration of Photometry from Stellar Colors and Accurate Photometric Redshifts
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Recovering Redshift Distributions with Cross-Correlations: Pushing The Boundaries
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The brighter-fatter effect and pixel correlations in CCD sensors
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Characterization and correction of charge-induced pixel shifts in DECam
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The DES Science Verification Weak Lensing Shear Catalogues
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Eight Ultra-faint Galaxy Candidates Discovered in Year Two of the Dark Energy Survey
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Crowdsourcing quality control for Dark Energy Survey images
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DNF - Galaxy photometric redshift by Directional Neighbourhood Fitting
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The Dark Energy Survey: more than dark energy - an overview
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Cosmic Voids and Void Lensing in the Dark Energy Survey Science Verification Data
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SDSS Data Management and Photometric Quality Assessment
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The UKIRT Infrared Deep Sky Survey ZYJHK Photometric System: Passbands and Synthetic Colours
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The UKIRT Infrared Deep Sky Survey (UKIDSS)
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The Cosmic Evolution Survey (COSMOS) -- Overview
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An Improved Photometric Calibration of the Sloan Digital Sky Survey Imaging Data
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Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies
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The Dark Energy Survey: Data Release 1
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Dark Energy Survey Year 1 results: constraints on intrinsic alignments and their colour dependence from galaxy clustering and weak lensing
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Cosmological Constraints from Multiple Probes in the Dark Energy Survey
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Dark Energy Survey Year 1 Results: Calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations
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Dark Energy Survey Year 1 Results: Cosmological Constraints from Cosmic Shear
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The Dark Energy Survey Image Processing Pipeline
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On the relative bias of void tracers in the Dark Energy Survey
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Cosmological Constraints from Multiple Probes in the Dark Energy Survey
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The observable $E_g$ statistics
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Producing a BOSS-CMASS sample with DES imaging
text, January 2019


Detection of cross-correlation between gravitational lensing and gamma rays
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