The Dark Energy Survey: Data Release 1

Abbott, T. M.  C.; Abdalla, F. B.; Allam, S.; Amara, A.; Annis, J.; Asorey, J.; Avila, S.; Ballester, O.; Banerji, M.; Barkhouse, W.; Baruah, L.; Baumer, M.; Bechtol, K.; Becker, M. R.; Benoit-Lévy, A.; Bernstein, G. M.; Bertin, E.; Blazek, J.; Bocquet, S.; Brooks, D.; Brout, D.; Buckley-Geer, E.; Burke, D. L.; Busti, V.; Campisano, R.; Cardiel-Sas, L.; Rosell, A. Carnero; Kind, M. Carrasco; Carretero, J.; Castander, F. J.; Cawthon, R.; Chang, C.; Chen, X.; Conselice, C.; Costa, G.; Crocce, M.; Cunha, C. E.; D’Andrea, C. B.; Costa, L. N.  da; Das, R.; Daues, G.; Davis, T. M.; Davis, C.; Vicente, J. De; DePoy, D. L.; DeRose, J.; Desai, S.; Diehl, H. T.; Dietrich, J. P.; Dodelson, S.; Doel, P.; Drlica-Wagner, A.; Eifler, T. F.; Elliott, A. E.; Evrard, A. E.; Farahi, A.; Neto, A. Fausti; Fernandez, E.; Finley, D. A.; Flaugher, B.; Foley, R. J.; Fosalba, P.; Friedel, D. N.; Frieman, J.; García-Bellido, J.; Gaztanaga, E.; Gerdes, D. W.; Giannantonio, T.; Gill, M. S.  S.; Glazebrook, K.; Goldstein, D. A.; Gower, M.; Gruen, D.; Gruendl, R. A.; Gschwend, J.; Gupta, R. R.; Gutierrez, G.; Hamilton, S.; Hartley, W. G.; Hinton, S. R.; Hislop, J. M.; Hollowood, D.; Honscheid, K.; Hoyle, B.; Huterer, D.; Jain, B.; James, D. J.; Jeltema, T.; Johnson, M. W.  G.; Johnson, M. D.; Kacprzak, T.; Kent, S.; Khullar, G.; Klein, M.; Kovacs, A.; Koziol, A. M.  G.; Krause, E.; Kremin, A.; Kron, R.; Kuehn, K.; Kuhlmann, S.; Kuropatkin, N.; Lahav, O.; Lasker, J.; Li, T. S.; Li, R. T.; Liddle, A. R.; Lima, M.; Lin, H.; López-Reyes, P.; MacCrann, N.; Maia, M. A.  G.; Maloney, J. D.; Manera, M.; March, M.; Marriner, J.; Marshall, J. L.; Martini, P.; McClintock, T.; McKay, T.; McMahon, R. G.; Melchior, P.; Menanteau, F.; Miller, C. J.; Miquel, R.; Mohr, J. J.; Morganson, E.; Mould, J.; Neilsen, E.; Nichol, R. C.; Nogueira, F.; Nord, B.; Nugent, P.; Nunes, L.; Ogando, R. L.  C.; Old, L.; Pace, A. B.; Palmese, A.; Paz-Chinchón, F.; Peiris, H. V.; Percival, W. J.; Petravick, D.; Plazas, A. A.; Poh, J.; Pond, C.; Porredon, A.; Pujol, A.; Refregier, A.; Reil, K.; Ricker, P. M.; Rollins, R. P.; Romer, A. K.; Roodman, A.; Rooney, P.; Ross, A. J.; Rykoff, E. S.; Sako, M.; Sanchez, M. L.; Sanchez, E.; Santiago, B.; Saro, A.; Scarpine, V.; Scolnic, D.; Serrano, S.; Sevilla-Noarbe, I.; Sheldon, E.; Shipp, N.; Silveira, M. L.; Smith, M.; Smith, R. C.; Smith, J. A.; Soares-Santos, M.; Sobreira, F.; Song, J.; Stebbins, A.; Suchyta, E.; Sullivan, M.; Swanson, M. E.  C.; Tarle, G.; Thaler, J.; Thomas, D.; Thomas, R. C.; Troxel, M. A.; Tucker, D. L.; Vikram, V.; Vivas, A. K.; Walker, A. R.; Wechsler, R. H.; Weller, J.; Wester, W.; Wolf, R. C.; Wu, H.; Yanny, B.; Zenteno, A.; Zhang, Y.; Zuntz, J.; Juneau, S.; Fitzpatrick, M.; Nikutta, R.; Nidever, D.; Olsen, K.; Scott, A.

doi:10.3847/1538-4365/aae9f0

Title: The Dark Energy Survey: Data Release 1

Journal Article · Mon Nov 26 00:00:00 EST 2018 · The Astrophysical Journal. Supplement Series (Online)

DOI:https://doi.org/10.3847/1538-4365/aae9f0· OSTI ID:1490357

Abbott, T. M. C.; Abdalla, F. B.; Allam, S.; Amara, A.;

; Asorey, J.; Avila, S.; Ballester, O.; Banerji, M.; Barkhouse, W.; Baruah, L.; Baumer, M.; Bechtol, K.; Becker, M. R.; Benoit-Lévy, A.; Bernstein, G. M.; Bertin, E.; Blazek, J.;

;

© 2018. The American Astronomical Society. All rights reserved. We describe the first public data release of the Dark Energy Survey, DES DR1, consisting of reduced single-epoch images, co-added images, co-added source catalogs, and associated products and services assembled over the first 3 yr of DES science operations. DES DR1 is based on optical/near-infrared imaging from 345 distinct nights (2013 August to 2016 February) by the Dark Energy Camera mounted on the 4 m Blanco telescope at the Cerro Tololo Inter-American Observatory in Chile. We release data from the DES wide-area survey covering ~5000 deg 2 of the southern Galactic cap in five broad photometric bands, grizY. DES DR1 has a median delivered point-spread function of g = 1.12, r = 0.96, i = 0.88, z = 0.84, and Y = 0.90 FWHM, a photometric precision of <1% in all bands, and an astrometric precision of 151 . The median co-added catalog depth for a 1.95 diameter aperture at signal-to-noise ratio (S/N) = 10 is g = 24.33, r = 24.08, i = 23.44, z = 22.69, and Y = 21.44. DES DR1 includes nearly 400 million distinct astronomical objects detected in ~10,000 co-add tiles of size 0.534 deg 2 produced from ~39,000 individual exposures. Benchmark galaxy and stellar samples contain ~310 million and ~80 million objects, respectively, following a basic object quality selection. These data are accessible through a range of interfaces, including query web clients, image cutout servers, jupyter notebooks, and an interactive co-add image visualization tool. DES DR1 constitutes the largest photometric data set to date at the achieved depth and photometric precision.

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Research Organization:: SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)

Sponsoring Organization:: USDOE Office of Science (SC), High Energy Physics (HEP); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)

Contributing Organization:: DES Collaboration; NOAO Data Lab

Grant/Contract Number:: AC02-76SF00515; SC0012704; AC02-07CH11359; AC05-00OR22725; AC02-05CH11231

OSTI ID:: 1490357

Alternate ID(s):: OSTI ID: 1426668; OSTI ID: 1488512; OSTI ID: 1489093; OSTI ID: 1503979; OSTI ID: 1526553

Report Number(s):: FERMILAB-PUB-17-603-AE-E; arXiv:1801.03181; BNL-209792-2018-JAAM

Journal Information:: The Astrophysical Journal. Supplement Series (Online), Vol. 239, Issue 2; ISSN 1538-4365

Publisher:: American Astronomical Society/IOPCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 351 works

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References (74)

The Seventh data Release of the Sloan Digital sky Survey Abazajian, Kevork N.; Adelman-McCarthy, Jennifer K.; Agüeros, Marcel A. The Astrophysical Journal Supplement Series, Vol. 182, Issue 2 https://doi.org/10.1088/0067-0049/182/2/543	journal	May 2009
The Hyper Suprime-Cam SSP Survey: Overview and survey design Aihara, Hiroaki; Arimoto, Nobuo; Armstrong, Robert Publications of the Astronomical Society of Japan, Vol. 70, Issue SP1 https://doi.org/10.1093/pasj/psx066	journal	September 2017
First data release of the Hyper Suprime-Cam Subaru Strategic Program Aihara, Hiroaki; Armstrong, Robert; Bickerton, Steven Publications of the Astronomical Society of Japan, Vol. 70, Issue SP1 https://doi.org/10.1093/pasj/psx081	journal	October 2017
Astropy: A community Python package for astronomy Robitaille, Thomas P.; Tollerud, Erik J.; Greenfield, Perry Astronomy & Astrophysics, Vol. 558 https://doi.org/10.1051/0004-6361/201322068	journal	September 2013
MODTRAN4 radiative transfer modeling for atmospheric correction Berk, Alexander; Anderson, Gail P.; Bernstein, Lawrence S. SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, SPIE Proceedings https://doi.org/10.1117/12.366388	conference	October 1999
Instrumental Response Model and Detrending for the Dark Energy Camera Bernstein, G. M.; Abbott, T. M. C.; Desai, S. Publications of the Astronomical Society of the Pacific, Vol. 129, Issue 981 https://doi.org/10.1088/1538-3873/aa858e	journal	September 2017
Astrometric Calibration and Performance of the Dark Energy Camera Bernstein, G. M.; Armstrong, R.; Plazas, A. A. Publications of the Astronomical Society of the Pacific, Vol. 129, Issue 977 https://doi.org/10.1088/1538-3873/aa6c55	journal	May 2017
SExtractor: Software for source extraction Bertin, E.; Arnouts, S. Astronomy and Astrophysics Supplement Series, Vol. 117, Issue 2 https://doi.org/10.1051/aas:1996164	journal	June 1996
Web-based visualization of very large scientific astronomy imagery Bertin, E.; Pillay, R.; Marmo, C. Astronomy and Computing, Vol. 10 https://doi.org/10.1016/j.ascom.2014.12.006	journal	April 2015
Forward Global Photometric Calibration of the Dark Energy Survey Burke, D. L.; Rykoff, E. S.; Allam, S. The Astronomical Journal, Vol. 155, Issue 1 https://doi.org/10.3847/1538-3881/aa9f22	journal	December 2017
Representations of celestial coordinates in FITS Calabretta, M. R.; Greisen, E. W. Astronomy & Astrophysics, Vol. 395, Issue 3 https://doi.org/10.1051/0004-6361:20021327	journal	November 2002
The 10 Meter South Pole Telescope Carlstrom, J. E.; Ade, P. A. R.; Aird, K. A. Publications of the Astronomical Society of the Pacific, Vol. 123, Issue 903 https://doi.org/10.1086/659879	journal	May 2011
Modeling the Transfer Function for the dark Energy Survey Chang, C.; Busha, M. T.; Wechsler, R. H. The Astrophysical Journal, Vol. 801, Issue 2 https://doi.org/10.1088/0004-637X/801/2/73	journal	March 2015
The Dark Energy Survey: more than dark energy – an overview Abbott, T.; Abdalla, F. B.; Aleksic, J. Monthly Notices of the Royal Astronomical Society, Vol. 460, Issue 2, p. 1270-1299 https://doi.org/10.1093/mnras/stw641	journal	March 2016
The Kilo-Degree Survey de Jong, Jelte T. A.; Verdoes Kleijn, Gijs A.; Kuijken, Konrad H. Experimental Astronomy, Vol. 35, Issue 1-2 https://doi.org/10.1007/s10686-012-9306-1	journal	August 2012
The Blanco Cosmology Survey: data Acquisition, Processing, Calibration, Quality Diagnostics, and data Release Desai, S.; Armstrong, R.; Mohr, J. J. The Astrophysical Journal, Vol. 757, Issue 1 https://doi.org/10.1088/0004-637X/757/1/83	journal	September 2012
The Dark Energy Survey and operations: Year 1 Diehl, H. T.; Abbott, T. M. C.; Annis, J. SPIE Astronomical Telescopes + Instrumentation, SPIE Proceedings https://doi.org/10.1117/12.2056982	conference	August 2014
The dark energy survey and operations: years 1 to 3 Diehl, H. T.; Neilsen, E.; Gruendl, R. SPIE Astronomical Telescopes + Instrumentation, SPIE Proceedings https://doi.org/10.1117/12.2233157	conference	July 2016
Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology Drlica-Wagner, A.; Sevilla-Noarbe, I.; Rykoff, E. S. The Astrophysical Journal Supplement Series, Vol. 235, Issue 2 https://doi.org/10.3847/1538-4365/aab4f5	journal	April 2018
CFHTLenS: the Canada–France–Hawaii Telescope Lensing Survey – imaging data and catalogue products Erben, T.; Hildebrandt, H.; Miller, L. Monthly Notices of the Royal Astronomical Society, Vol. 433, Issue 3 https://doi.org/10.1093/mnras/stt928	journal	June 2013
Star-Galaxy Classification in Multi-Band Optical Imaging Fadely, Ross; Hogg, David W.; Willman, Beth The Astrophysical Journal, Vol. 760, Issue 1 https://doi.org/10.1088/0004-637X/760/1/15	journal	October 2012
Correcting for the Effects of Interstellar Extinction Fitzpatrick, Edward L. Publications of the Astronomical Society of the Pacific, Vol. 111, Issue 755 https://doi.org/10.1086/316293	journal	January 1999
The NOAO data lab: science-driven development Fitzpatrick, Michael J.; Graham, Matthew J.; Mighell, Kenneth J. SPIE Astronomical Telescopes + Instrumentation, SPIE Proceedings https://doi.org/10.1117/12.2233791	conference	August 2016
The dark Energy Camera Flaugher, B.; Diehl, H. T.; Honscheid, K. The Astronomical Journal, Vol. 150, Issue 5 https://doi.org/10.1088/0004-6256/150/5/150	journal	October 2015
Gaia Data Release 1 : Summary of the astrometric, photometric, and survey properties Brown, A. G. A.; Vallenari, A.; Prusti, T. Astronomy & Astrophysics, Vol. 595 https://doi.org/10.1051/0004-6361/201629512	journal	November 2016
HEALPix: A Framework for High‐Resolution Discretization and Fast Analysis of Data Distributed on the Sphere Gorski, K. M.; Hivon, E.; Banday, A. J. The Astrophysical Journal, Vol. 622, Issue 2 https://doi.org/10.1086/427976	journal	April 2005
Representations of world coordinates in FITS Greisen, E. W.; Calabretta, M. R. Astronomy & Astrophysics, Vol. 395, Issue 3 https://doi.org/10.1051/0004-6361:20021326	journal	November 2002
A scheme to deal accurately and efficiently with complex angular masks in galaxy surveys Hamilton, A. J. S.; Tegmark, M. Monthly Notices of the Royal Astronomical Society, Vol. 349, Issue 1 https://doi.org/10.1111/j.1365-2966.2004.07490.x	journal	March 2004
A Catalog of Parameters for Globular Clusters in the Milky Way Harris, William E. The Astronomical Journal, Vol. 112 https://doi.org/10.1086/118116	journal	October 1996
The readout and control system of the Dark Energy Camera Honscheid, Klaus; Elliott, Ann; Annis, James SPIE Astronomical Telescopes + Instrumentation, SPIE Proceedings https://doi.org/10.1117/12.925717	conference	September 2012
Matplotlib: A 2D Graphics Environment Hunter, John D. Computing in Science & Engineering, Vol. 9, Issue 3 https://doi.org/10.1109/MCSE.2007.55	journal	January 2007
Gaia broad band photometry Jordi, C.; Gebran, M.; Carrasco, J. M. Astronomy & Astrophysics, Vol. 523 https://doi.org/10.1051/0004-6361/201015441	journal	November 2010
The Pan-STARRS wide-field optical/NIR imaging survey Kaiser, Nick; Burgett, William; Chambers, Ken SPIE Astronomical Telescopes + Instrumentation, SPIE Proceedings https://doi.org/10.1117/12.859188	conference	July 2010
The Difference Imaging Pipeline for the Transient Search in the dark Energy Survey Kessler, R.; Marriner, J.; Childress, M. The Astronomical Journal, Vol. 150, Issue 6 https://doi.org/10.1088/0004-6256/150/6/172	journal	November 2015
Star–galaxy classification using deep convolutional neural networks Kim, Edward J.; Brunner, Robert J. Monthly Notices of the Royal Astronomical Society, Vol. 464, Issue 4 https://doi.org/10.1093/mnras/stw2672	journal	October 2016
A hybrid ensemble learning approach to star–galaxy classification Kim, Edward J.; Brunner, Robert J.; Carrasco Kind, Matias Monthly Notices of the Royal Astronomical Society, Vol. 453, Issue 1 https://doi.org/10.1093/mnras/stv1608	journal	August 2015
The VIMOS Public Extragalactic Redshift Survey (VIPERS): A support vector machine classification of galaxies, stars, and AGNs⋆ Małek, K.; Solarz, A.; Pollo, A. Astronomy & Astrophysics, Vol. 557 https://doi.org/10.1051/0004-6361/201321447	journal	August 2013
The Dark Energy Survey data processing and calibration system Mohr, Joseph J.; Armstrong, Robert; Bertin, Emmanuel SPIE Astronomical Telescopes + Instrumentation, SPIE Proceedings https://doi.org/10.1117/12.926785	conference	September 2012
The Dark Energy Survey Image Processing Pipeline Morganson, E.; Gruendl, R. A.; Menanteau, F. Publications of the Astronomical Society of the Pacific, Vol. 130, Issue 989 https://doi.org/10.1088/1538-3873/aab4ef	journal	May 2018
Absolute Spectral Energy Distributions for White Dwarfs Oke, J. B. The Astrophysical Journal Supplement Series, Vol. 27 https://doi.org/10.1086/190287	journal	February 1974
Magnitudes of Thirty-six of the Minor Planets for the First Day of each Month of the Year 1857 Pogson, N. Monthly Notices of the Royal Astronomical Society, Vol. 17, Issue 1 https://doi.org/10.1093/mnras/17.1.12	journal	November 1856
DES J0454−4448: discovery of the first luminous z ≥ 6 quasar from the Dark Energy Survey Reed, S. L.; McMahon, R. G.; Banerji, M. Monthly Notices of the Royal Astronomical Society, Vol. 454, Issue 4 https://doi.org/10.1093/mnras/stv2031	journal	October 2015
Measuring Reddening with Sloan Digital sky Survey Stellar Spectra and Recalibrating sfd Schlafly, Edward F.; Finkbeiner, Douglas P. The Astrophysical Journal, Vol. 737, Issue 2 https://doi.org/10.1088/0004-637X/737/2/103	journal	August 2011
Maps of Dust Infrared Emission for Use in Estimation of Reddening and Cosmic Microwave Background Radiation Foregrounds Schlegel, David J.; Finkbeiner, Douglas P.; Davis, Marc The Astrophysical Journal, Vol. 500, Issue 2 https://doi.org/10.1086/305772	journal	June 1998
An implementation of Bayesian lensing shear measurement Sheldon, Erin S. Monthly Notices of the Royal Astronomical Society: Letters, Vol. 444, Issue 1 https://doi.org/10.1093/mnrasl/slu104	journal	July 2014
The Two Micron All Sky Survey (2MASS) Skrutskie, M. F.; Cutri, R. M.; Stiening, R. The Astronomical Journal, Vol. 131, Issue 2 https://doi.org/10.1086/498708	journal	February 2006
Star/galaxy separation at faint magnitudes: application to a simulated Dark Energy Survey Soumagnac, M. T.; Abdalla, F. B.; Lahav, O. Monthly Notices of the Royal Astronomical Society, Vol. 450, Issue 1 https://doi.org/10.1093/mnras/stu1410	journal	April 2015
Methods for rapidly processing angular masks of next-generation galaxy surveys Swanson, M. E. C.; Tegmark, Max; Hamilton, Andrew J. S. Monthly Notices of the Royal Astronomical Society, Vol. 387, Issue 4 https://doi.org/10.1111/j.1365-2966.2008.13296.x	journal	July 2008
Optical synoptic telescopes: new science frontiers Tyson, J. Anthony SPIE Astronomical Telescopes + Instrumentation, SPIE Proceedings https://doi.org/10.1117/12.862582	conference	July 2010
The Sloan Digital Sky Survey: Technical Summary York, Donald G.; Adelman, J.; Anderson, Jr., John E. The Astronomical Journal, Vol. 120, Issue 3 https://doi.org/10.1086/301513	journal	September 2000
The VIMOS Public Extragalactic Redshift Survey (VIPERS): Ω _{m ₀} from the galaxy clustering ratio measured at z ~ 1⋆ Bel, J.; Marinoni, C.; Granett, B. R. Astronomy & Astrophysics, Vol. 563 https://doi.org/10.1051/0004-6361/201321942	journal	February 2014
CASSPER is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy George, Blesson; Assaiya, Anshul; Roy, Robin J. Communications Biology, Vol. 4, Issue 1 https://doi.org/10.1038/s42003-021-01721-1	journal	February 2021
The VIMOS Public Extragalactic Redshift Survey (VIPERS): Galaxy clustering and redshift-space distortions at de la Torre, S.; Guzzo, L.; Peacock, J. A. Astronomy & Astrophysics, Vol. 557 https://doi.org/10.1051/0004-6361/201321463	journal	August 2013
The Seventh Data Release of the Sloan Digital Sky Survey Abazajian, Kevork N.; Adelman-McCarthy, Jennifer K.; Agüeros, Marcel Andre Columbia University https://doi.org/10.7916/d8n879qg	text	January 2009
The VIMOS Public Extragalactic Redshift Survey (VIPERS): Hierarchical scaling and biasing⋆ Cappi, A.; Marulli, F.; Bel, J. Astronomy & Astrophysics, Vol. 579 https://doi.org/10.1051/0004-6361/201525727	journal	June 2015
Star/galaxy separation at faint magnitudes: application to a simulated Dark Energy Survey Soumagnac, M. T.; Abdalla, F. B.; Lahav, O. Oxford University Press https://doi.org/10.5167/uzh-155277	text	January 2015
The VIMOS Public Extragalactic Redshift Survey (VIPERS): A precise measurement of the galaxy stellar mass function and the abundance of massive galaxies at redshifts 0.5 < z < 1.3⋆ Davidzon, I.; Bolzonella, M.; Coupon, J. Astronomy & Astrophysics, Vol. 558 https://doi.org/10.1051/0004-6361/201321511	journal	September 2013
Dark Energy Survey Year 1 Results: Photometric Data Set for Cosmology Drlica-Wagner, A.; Sevilla-Noarbe, I.; Rykoff, Es Apollo - University of Cambridge Repository https://doi.org/10.17863/cam.21145	text	January 2018
The seventh data release of the sloan digital sky survey Abazajian, K. N.; Al, Et; Adelman-McCarthy, J. K. Institute of Physics Publishing https://doi.org/10.5167/uzh-30878	text	January 2009
Gaia broad band photometry Jordi, C.; Gebran, M.; Carrasco, J. M. arXiv https://doi.org/10.48550/arxiv.1008.0815	text	January 2010
Optical Synoptic Telescopes: New Science Frontiers Tyson, J. Anthony arXiv https://doi.org/10.48550/arxiv.1009.2263	text	January 2010
The Blanco Cosmology Survey: Data Acquisition, Processing, Calibration, Quality Diagnostics and Data Release Desai, S.; Armstrong, R.; Mohr, J. J. arXiv https://doi.org/10.48550/arxiv.1204.1210	text	January 2012
Star-Galaxy Classification in Multi-Band Optical Imaging Fadely, Ross; Hogg, David W.; Willman, Beth arXiv https://doi.org/10.48550/arxiv.1206.4306	text	January 2012
CFHTLenS: The Canada-France-Hawaii Telescope Lensing Survey - Imaging Data and Catalogue Products Erben, T.; Hildebrandt, H.; Miller, L. arXiv https://doi.org/10.48550/arxiv.1210.8156	text	January 2012
The VIMOS Public Extragalactic Redshift Survey (VIPERS). A Support Vector Machine classification of galaxies, stars and AGNs Malek, K.; Solarz, A.; Pollo, A. arXiv https://doi.org/10.48550/arxiv.1303.2621	text	January 2013
A Hybrid Ensemble Learning Approach to Star-Galaxy Classification Kim, Edward J.; Brunner, Robert J.; Kind, Matias Carrasco arXiv https://doi.org/10.48550/arxiv.1505.02200	text	January 2015
The Dark Energy Survey: more than dark energy - an overview Collaboration, Dark Energy Survey; Abbott, T.; Abdalla, F. B. arXiv https://doi.org/10.48550/arxiv.1601.00329	text	January 2016
First Data Release of the Hyper Suprime-Cam Subaru Strategic Program Aihara, Hiroaki; Armstrong, Robert; Bickerton, Steven arXiv https://doi.org/10.48550/arxiv.1702.08449	text	January 2017
Astrometric calibration and performance of the Dark Energy Camera Bernstein, G. M.; Armstrong, R.; Plazas, A. A. arXiv https://doi.org/10.48550/arxiv.1703.01679	text	January 2017
Forward Global Photometric Calibration of the Dark Energy Survey Burke, D.; Rykoff, E. S.; Allam, S. arXiv https://doi.org/10.48550/arxiv.1706.01542	text	January 2017
Dark Energy Survey Year 1 Results: Photometric Data Set for Cosmology Drlica-Wagner, A.; Sevilla-Noarbe, I.; Rykoff, E. S. arXiv https://doi.org/10.48550/arxiv.1708.01531	text	January 2017
The Dark Energy Survey Image Processing Pipeline Morganson, E.; Gruendl, R. A.; Menanteau, F. arXiv https://doi.org/10.48550/arxiv.1801.03177	text	January 2018
Representations of celestial coordinates in FITS Calabretta, Mark R.; Greisen, Eric W. arXiv https://doi.org/10.48550/arxiv.astro-ph/0207413	text	January 2002
HEALPix -- a Framework for High Resolution Discretization, and Fast Analysis of Data Distributed on the Sphere Gorski, K. M.; Hivon, E.; Banday, A. J. arXiv https://doi.org/10.48550/arxiv.astro-ph/0409513	text	January 2004

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The southern stellar stream spectroscopic survey (S5): Overview, target selection, data reduction, validation, and early science Li, T. S.; Koposov, S. E.; Zucker, D. B. Monthly Notices of the Royal Astronomical Society, Vol. 490, Issue 3 https://doi.org/10.1093/mnras/stz2731	journal	October 2019
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A new bright z = 6.82 quasar discovered with VISTA: VHS J0411–0907 Pons, E.; McMahon, R. G.; Simcoe, R. A. Monthly Notices of the Royal Astronomical Society, Vol. 484, Issue 4 https://doi.org/10.1093/mnras/stz292	journal	January 2019
The PAU Survey: background light estimation with deep learning techniques Cabayol-Garcia, L.; Eriksen, M.; Alarcón, A. Monthly Notices of the Royal Astronomical Society, Vol. 491, Issue 4 https://doi.org/10.1093/mnras/stz3274	journal	November 2019
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The VISCACHA survey – I. Overview and first results Maia, Francisco F. S.; Dias, Bruno; Santos, João F. C. Monthly Notices of the Royal Astronomical Society, Vol. 484, Issue 4 https://doi.org/10.1093/mnras/stz369	journal	February 2019
Piercing the Milky Way: an all-sky view of the Orphan Stream Koposov, S. E.; Belokurov, V.; Li, T. S. Monthly Notices of the Royal Astronomical Society, Vol. 485, Issue 4 https://doi.org/10.1093/mnras/stz457	journal	February 2019
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H i galaxies with little star formation: an abundance of LIERs Parkash, Vaishali; Brown, Michael J. I.; Jarrett, T. H. Monthly Notices of the Royal Astronomical Society, Vol. 485, Issue 3 https://doi.org/10.1093/mnras/stz593	journal	March 2019
The velocity anisotropy of the Milky Way satellite system Riley, Alexander H.; Fattahi, Azadeh; Pace, Andrew B. Monthly Notices of the Royal Astronomical Society, Vol. 486, Issue 2 https://doi.org/10.1093/mnras/stz973	journal	April 2019
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Exploring Reionization-era Quasars. IV. Discovery of Six New z ≳ 6.5 Quasars with DES, VHS, and unWISE Photometry Yang, Jinyi; Wang, Feige; Fan, Xiaohui The Astronomical Journal, Vol. 157, Issue 6 https://doi.org/10.3847/1538-3881/ab1be1	journal	May 2019
Identification of RR Lyrae Stars in Multiband, Sparsely Sampled Data from the Dark Energy Survey Using Template Fitting and Random Forest Classification Stringer, K. M.; Long, J. P.; Macri, L. M. The Astronomical Journal, Vol. 158, Issue 1 https://doi.org/10.3847/1538-3881/ab1f46	journal	June 2019
Morphological Star–Galaxy Separation Slater, Colin T.; Ivezić, Željko; Lupton, Robert H. The Astronomical Journal, Vol. 159, Issue 2 https://doi.org/10.3847/1538-3881/ab6166	journal	January 2020
SMASHing the LMC: Mapping a Ring-like Stellar Overdensity in the LMC Disk Choi, Yumi; Nidever, David L.; Olsen, Knut The Astrophysical Journal, Vol. 869, Issue 2 https://doi.org/10.3847/1538-4357/aaed1f	journal	December 2018
First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation Brout, D.; Scolnic, D.; Kessler, R. The Astrophysical Journal, Vol. 874, Issue 2 https://doi.org/10.3847/1538-4357/ab08a0	journal	April 2019
The Splashback Radius of Planck SZ Clusters Zürcher, Dominik; More, Surhud The Astrophysical Journal, Vol. 874, Issue 2 https://doi.org/10.3847/1538-4357/ab08e8	journal	April 2019
Proper Motions of Milky Way Ultra-faint Satellites with Gaia DR2 × DES DR1 Pace, Andrew B.; Li, Ting S. The Astrophysical Journal, Vol. 875, Issue 1 https://doi.org/10.3847/1538-4357/ab0aee	journal	April 2019
A Faint Halo Star Cluster Discovered in the Blanco Imaging of the Southern Sky Survey Mau, S.; Drlica-Wagner, A.; Bechtol, K. The Astrophysical Journal, Vol. 875, Issue 2 https://doi.org/10.3847/1538-4357/ab0bb8	journal	April 2019
Dark Energy Survey Year 1 Results: Detection of Intracluster Light at Redshift ∼ 0.25 Zhang, Y.; Yanny, B.; Palmese, A. The Astrophysical Journal, Vol. 874, Issue 2 https://doi.org/10.3847/1538-4357/ab0dfd	journal	April 2019
Discovery of a Ly α -emitting Dark Cloud within the z ∼ 2.8 SMM J02399-0136 System Li, Qiong; Cai, Zheng; Prochaska, J. Xavier The Astrophysical Journal, Vol. 875, Issue 2 https://doi.org/10.3847/1538-4357/ab0e6f	journal	April 2019
A Large Catalog of Accurate Distances to Local Molecular Clouds: The Gaia DR2 Edition Zucker, Catherine; Speagle, Joshua S.; Schlafly, Edward F. The Astrophysical Journal, Vol. 879, Issue 2 https://doi.org/10.3847/1538-4357/ab2388	journal	July 2019
Accurate Modeling of the Projected Galaxy Clustering in Photometric Surveys. I. Tests with Mock Catalogs Wang, Zhaoyu; Xu, Haojie; Yang, Xiaohu The Astrophysical Journal, Vol. 879, Issue 2 https://doi.org/10.3847/1538-4357/ab25e6	journal	July 2019
The Morphology and Structure of Stellar Populations in the Fornax Dwarf Spheroidal Galaxy from Dark Energy Survey Data Wang, M. Y.; de Boer, T.; Pieres, A. The Astrophysical Journal, Vol. 881, Issue 2 https://doi.org/10.3847/1538-4357/ab31a9	journal	August 2019
Chemical Abundance Analysis of Tucana III, the Second r -process Enhanced Ultra-faint Dwarf Galaxy Marshall, J. L.; Hansen, T.; Simon, J. D. The Astrophysical Journal, Vol. 882, Issue 2 https://doi.org/10.3847/1538-4357/ab3653	journal	September 2019
Proper Motions of Stellar Streams Discovered in the Dark Energy Survey Shipp, N.; Li, T. S.; Pace, A. B. The Astrophysical Journal, Vol. 885, Issue 1 https://doi.org/10.3847/1538-4357/ab44bf	journal	October 2019
The Ly α Luminosity Function and Cosmic Reionization at z ∼ 7.0: A Tale of Two LAGER Fields Hu, Weida; Wang, Junxian; Zheng, Zhen-Ya The Astrophysical Journal, Vol. 886, Issue 2 https://doi.org/10.3847/1538-4357/ab4cf4	journal	November 2019
ALMA Reveals a Gas-rich, Maximum Starburst in the Hyperluminous, Dust-obscured Quasar W0533–3401 at z ∼ 2.9 Fan, Lulu; Knudsen, Kirsten K.; Han, Yunkun The Astrophysical Journal, Vol. 887, Issue 1 https://doi.org/10.3847/1538-4357/ab5059	journal	December 2019
Expanding the Y Dwarf Census with Spitzer Follow-up of the Coldest CatWISE Solar Neighborhood Discoveries Meisner, Aaron M.; Caselden, Dan; Kirkpatrick, J. Davy The Astrophysical Journal, Vol. 889, Issue 2 https://doi.org/10.3847/1538-4357/ab6215	journal	January 2020
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The Massive and Distant Clusters of WISE Survey. I. Survey Overview and a Catalog of >2000 Galaxy Clusters at z ≃ 1 Gonzalez, Anthony H.; Gettings, Daniel P.; Brodwin, Mark The Astrophysical Journal Supplement Series, Vol. 240, Issue 2 https://doi.org/10.3847/1538-4365/aafad2	journal	February 2019
The QUEST-La Silla AGN Variability Survey: Selection of AGN Candidates through Optical Variability Sánchez-Sáez, P.; Lira, P.; Cartier, R. The Astrophysical Journal Supplement Series, Vol. 242, Issue 1 https://doi.org/10.3847/1538-4365/ab174f	journal	May 2019
An Extended Catalog of Galaxy–Galaxy Strong Gravitational Lenses Discovered in DES Using Convolutional Neural Networks Jacobs, C.; Collett, T.; Glazebrook, K. The Astrophysical Journal Supplement Series, Vol. 243, Issue 1 https://doi.org/10.3847/1538-4365/ab26b6	journal	July 2019
Quasar Accretion Disk Sizes from Continuum Reverberation Mapping in the DES Standard-star Fields Yu, Zhefu; Martini, Paul; Davis, T. M. The Astrophysical Journal Supplement Series, Vol. 246, Issue 1 https://doi.org/10.3847/1538-4365/ab5e7a	journal	January 2020
First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters Abbott, T. M. C.; Allam, S.; Andersen, P. The Astrophysical Journal, Vol. 872, Issue 2 https://doi.org/10.3847/2041-8213/ab04fa	journal	February 2019
Rediscovery of the Sixth Star Cluster in the Fornax Dwarf Spheroidal Galaxy Wang, M. Y.; Koposov, S.; Drlica-Wagner, A. The Astrophysical Journal, Vol. 875, Issue 2 https://doi.org/10.3847/2041-8213/ab14f5	journal	April 2019
GROWTH on S190426c: Real-time Search for a Counterpart to the Probable Neutron Star–Black Hole Merger using an Automated Difference Imaging Pipeline for DECam Goldstein, Daniel A.; Andreoni, Igor; Nugent, Peter E. The Astrophysical Journal, Vol. 881, Issue 1 https://doi.org/10.3847/2041-8213/ab3046	journal	August 2019
Multiple Components of the Jhelum Stellar Stream Bonaca, Ana; Conroy, Charlie; Price-Whelan, Adrian M. The Astrophysical Journal, Vol. 881, Issue 2 https://doi.org/10.3847/2041-8213/ab36ba	journal	August 2019
COS Observations of the Cosmic Web: A Search for the Cooler Components of a Hot, X-Ray Identified Filament Connor, Thomas; Zahedy, Fakhri S.; Chen, Hsiao-Wen The Astrophysical Journal, Vol. 884, Issue 1 https://doi.org/10.3847/2041-8213/ab45f5	journal	October 2019
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First cosmological results using Type Ia supernovae from the Dark Energy Survey: measurement of the Hubble constant Macaulay, E.; Nichol, R. C.; Bacon, D. Monthly Notices of the Royal Astronomical Society, Vol. 486, Issue 2 https://doi.org/10.1093/mnras/stz978	journal	April 2019
An Information Theory Approach on Deciding Spectroscopic Follow-ups Astudillo, Javiera; Protopapas, Pavlos; Pichara, Karim The Astronomical Journal, Vol. 159, Issue 1 https://doi.org/10.3847/1538-3881/ab557d	journal	December 2019
Gaia DR 2 and VLT/FLAMES search for new satellites of the LMC Fritz, T. K.; Carrera, R.; Battaglia, G. Astronomy & Astrophysics, Vol. 623 https://doi.org/10.1051/0004-6361/201833458	journal	March 2019
Photometric identification and MMT spectroscopy of new extremely metal-poor galaxies: towards a better understanding of young stellar populations at low metallicity Senchyna, Peter; Stark, Daniel P. Monthly Notices of the Royal Astronomical Society, Vol. 484, Issue 1 https://doi.org/10.1093/mnras/stz058	journal	January 2019
WALLABY Early Science – IV. ASKAP H i imaging of the nearby galaxy IC 5201 Kleiner, D.; Koribalski, B. S.; Serra, P. Monthly Notices of the Royal Astronomical Society, Vol. 488, Issue 4 https://doi.org/10.1093/mnras/stz2063	journal	July 2019
Year two instrument status of the SPT-3G cosmic microwave background receiver Carter, Faustin W.; Cecil, Thomas W.; Chang, Clarence L. Millimeter, Submillimeter, and Far-Infrared Detectors and Instrumentation for Astronomy IX https://doi.org/10.1117/12.2312426	conference	August 2018
A new bright z = 6.82 quasar discovered with VISTA: VHS J0411-0907 Pons, Estelle; McMahon, Richard; Simcoe, Ra Apollo - University of Cambridge Repository https://doi.org/10.17863/cam.36373	text	January 2019
Help: A catalogue of 170 million objects, selected at 0.36–4.5 μm, from 1270 deg² of prime extragalactic fields Shirley, R.; Roehlly, Y.; Hurley, Pd Apollo - University of Cambridge Repository https://doi.org/10.17863/cam.46847	text	January 2019
Self-consistent redshift estimation using correlation functions without a spectroscopic reference sample Hoyle, Ben; Rau, Markus Michael arXiv https://doi.org/10.48550/arxiv.1802.02581	text	January 2018
SMASHing THE LMC: Mapping a Ring-like Stellar Overdensity in the LMC Disk Choi, Yumi; Nidever, David L.; Olsen, Knut arXiv https://doi.org/10.48550/arxiv.1805.00481	text	January 2018
Quasar Lenses in the South: searches over the DES public footprint Agnello, Adriano; Spiniello, Chiara arXiv https://doi.org/10.48550/arxiv.1805.11103	text	January 2018
Photometric identification and MMT spectroscopy of new extremely metal-poor galaxies: towards a better understanding of young stellar populations at low metallicity Senchyna, Peter; Stark, Daniel P. arXiv https://doi.org/10.48550/arxiv.1806.00551	text	January 2018
On the relative bias of void tracers in the Dark Energy Survey Pollina, G.; Hamaus, N.; Paech, K. arXiv https://doi.org/10.48550/arxiv.1806.06860	text	January 2018
easyaccess: Enhanced SQL command line interpreter for astronomical surveys Kind, M. Carrasco; Drlica-Wagner, A.; Koziol, A. M. G. arXiv https://doi.org/10.48550/arxiv.1810.02721	text	January 2018
The velocity anisotropy of the Milky Way satellite system Riley, Alexander H.; Fattahi, Azadeh; Pace, Andrew B. arXiv https://doi.org/10.48550/arxiv.1810.10645	text	January 2018
Quasar Accretion Disk Sizes from Continuum Reverberation Mapping in the DES Standard Star Fields Yu, Zhefu; Martini, Paul; Davis, T. M. arXiv https://doi.org/10.48550/arxiv.1811.03638	text	January 2018
Finding high-redshift strong lenses in DES using convolutional neural networks Jacobs, C.; Collett, T.; Glazebrook, K. arXiv https://doi.org/10.48550/arxiv.1811.03786	text	January 2018
Exploring Reionization-Era Quasars IV: Discovery of Six New $z \gtrsim 6.5$ Quasars with DES, VHS and unWISE Photometry Yang, Jinyi; Wang, Feige; Fan, Xiaohui arXiv https://doi.org/10.48550/arxiv.1811.11915	text	January 2018
A new bright z=6.82 quasar discovered with VISTA: VHS J0411-0907 Pons, Estelle; McMahon, Richard G.; Simcoe, Robert A. arXiv https://doi.org/10.48550/arxiv.1812.02481	text	January 2018
Dark Energy Survey Year 1 results: Detection of Intra-cluster Light at Redshift $\sim$ 0.25 Zhang, Y.; Yanny, B.; Palmese, A. arXiv https://doi.org/10.48550/arxiv.1812.04004	text	January 2018
A Large Catalog of Accurate Distances to Local Molecular Clouds: The Gaia DR2 Edition Zucker, Catherine; Speagle, Joshua S.; Schlafly, Edward F. arXiv https://doi.org/10.48550/arxiv.1902.01425	text	January 2019
Rediscovery of the Sixth Star Cluster in the Fornax Dwarf Spheroidal Galaxy Wang, Mei-Yu; Koposov, Sergey; Drlica-Wagner, Alex arXiv https://doi.org/10.48550/arxiv.1902.04589	text	January 2019
Developing a unified pipeline for large-scale structure data analysis with angular power spectra -- I. The importance of redshift-space distortions for galaxy number counts Tanidis, Konstantinos; Camera, Stefano arXiv https://doi.org/10.48550/arxiv.1902.07226	text	January 2019
Galaxy shape measurement with convolutional neural networks Ribli, Dezső; Dobos, László; Csabai, István arXiv https://doi.org/10.48550/arxiv.1902.08161	text	January 2019
HI galaxies with little star formation: an abundance of LIERs Parkash, Vaishali; Brown, Michael J. I.; Jarrett, T. H. arXiv https://doi.org/10.48550/arxiv.1903.02024	text	January 2019
Discovery of a Lya emitting dark-cloud within z ~ 2.8 SMMJ02399-0136 system Li, Qiong; Cai, Zheng; Prochaska, J. Xavier arXiv https://doi.org/10.48550/arxiv.1903.03131	text	January 2019
Identification of RR Lyrae stars in multiband, sparsely-sampled data from the Dark Energy Survey using template fitting and Random Forest classification Stringer, K. M.; Long, J. P.; Macri, L. M. arXiv https://doi.org/10.48550/arxiv.1905.00428	text	January 2019
Accurate Modeling of the Projected Galaxy Clustering in Photometric Surveys: I. Tests with Mock Catalogs Wang, Zhaoyu; Xu, Haojie; Yang, Xiaohu arXiv https://doi.org/10.48550/arxiv.1906.00516	text	January 2019
Producing a BOSS-CMASS sample with DES imaging Lee, S.; Huff, E. M.; Ross, A. J. arXiv https://doi.org/10.48550/arxiv.1906.01136	text	January 2019
Multiple components of the Jhelum stellar stream Bonaca, Ana; Conroy, Charlie; Price-Whelan, Adrian M. arXiv https://doi.org/10.48550/arxiv.1906.02748	text	January 2019
The Karl G. Jansky Very Large Array Sky Survey (VLASS). Science case and survey design Lacy, M.; Baum, S. A.; Chandler, C. J. arXiv https://doi.org/10.48550/arxiv.1907.01981	text	January 2019
Deblending and Classifying Astronomical Sources with Mask R-CNN Deep Learning Burke, Colin J.; Aleo, Patrick D.; Chen, Yu-Ching arXiv https://doi.org/10.48550/arxiv.1908.02748	text	January 2019
The MUSE Ultra Deep Field (MUDF). II. Survey design and the gaseous properties of galaxy groups at 0.5 < z < 1.5 Fossati, M.; Fumagalli, M.; Lofthouse, E. K. arXiv https://doi.org/10.48550/arxiv.1909.04672	text	January 2019
COS Observations of the Cosmic Web: A Search for the Cooler Components of a Hot, X-ray Identified Filament Connor, Thomas; Zahedy, Fakhri S.; Chen, Hsiao-Wen arXiv https://doi.org/10.48550/arxiv.1909.10518	text	January 2019
An Information Theory Approach on Deciding Spectroscopic Follow Ups Astudillo, Javiera; Protopapas, Pavlos; Pichara, Karim arXiv https://doi.org/10.48550/arxiv.1911.02444	text	January 2019
Morphological Star-Galaxy Separation Slater, Colin T.; Ivezić, Željko; Lupton, Robert H. arXiv https://doi.org/10.48550/arxiv.1912.08210	text	January 2019

Figures / Tables (32)

Table E.1 Part 1(p. 25)

Table E.1 Part 2(p. 26)

Table E.2(p. 26)

Table E.3(p. 27)

Table E.4(p. 28)

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