The Dark Energy Survey Image Processing Pipeline

Morganson, E.; Gruendl, R. A.; Menanteau, F.; Kind, M. Carrasco; Chen, Y. -C.; Daues, G.; Drlica-Wagner, A.; Friedel, D. N.; Gower, M.; Johnson, M. W.  G.; Johnson, M. D.; Kessler, R.; Paz-Chinchón, F.; Petravick, D.; Pond, C.; Yanny, B.; Allam, S.; Armstrong, R.; Barkhouse, W.; Bechtol, K.; Benoit-Lévy, A.; Bernstein, G. M.; Bertin, E.; Buckley-Geer, E.; Covarrubias, R.; Desai, S.; Diehl, H. T.; Goldstein, D. A.; Gruen, D.; Li, T. S.; Lin, H.; Marriner, J.; Mohr, J. J.; Neilsen, E.; Ngeow, C. -C.; Paech, K.; Rykoff, E. S.; Sako, M.; Sevilla-Noarbe, I.; Sheldon, E.; Sobreira, F.; Tucker, D. L.; Wester, W.

doi:10.1088/1538-3873/aab4ef

The Dark Energy Survey Image Processing Pipeline

Journal Article · Thu May 17 00:00:00 EDT 2018 · Publications of the Astronomical Society of the Pacific

DOI:https://doi.org/10.1088/1538-3873/aab4ef· OSTI ID:1457775

Morganson, E.; Gruendl, R. A.; Menanteau, F.; Kind, M. Carrasco; Chen, Y. -C.; Daues, G.; Drlica-Wagner, A.; Friedel, D. N.; Gower, M.; Johnson, M. W. G.; Johnson, M. D.; Kessler, R.; Paz-Chinchón, F.; Petravick, D.; Pond, C.; Yanny, B.; Allam, S.; Armstrong, R.; Barkhouse, W.; Bechtol, K. more »

The Dark Energy Survey (DES) is a five-year optical imaging campaign with the goal of understanding the origin of cosmic acceleration. DES performs a ~5000 deg² survey of the southern sky in five optical bands (g, r, i, z, Y) to a depth of ~24th magnitude. Contemporaneously, DES performs a deep, time-domain survey in four optical bands (g, r, i, z) over ~27 deg². DES exposures are processed nightly with an evolving data reduction pipeline and evaluated for image quality to determine if they need to be retaken. Difference imaging and transient source detection are also performed in the time domain component nightly. On a bi-annual basis, DES exposures are reprocessed with a refined pipeline and coadded to maximize imaging depth. In this paper, we describe the DES image processing pipeline in support of DES science, as a reference for users of archival DES data, and as a guide for future astronomical surveys.

View Accepted Manuscript (DOE)

Research Organization:: SLAC National Accelerator Lab., Menlo Park, CA (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)

Sponsoring Organization:: USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)

Contributing Organization:: DES Collaboration

Grant/Contract Number:: AC02-76SF00515; AC02-07CH11359

OSTI ID:: 1457775

Journal Information:: Publications of the Astronomical Society of the Pacific, Journal Name: Publications of the Astronomical Society of the Pacific Journal Issue: 989 Vol. 130; ISSN 0004-6280

Publisher:: Astronomical Society of the PacificCopyright Statement

Country of Publication:: United States

Language:: English

References (63)

Principal Component Analysis Jolliffe, I. T. Springer Series in Statistics https://doi.org/10.1007/978-1-4757-1904-8	book	January 1986
Principal Component Analysis Jolliffe, Ian International Encyclopedia of Statistical Science https://doi.org/10.1007/978-3-642-04898-2_455	book	January 2011
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 Effects of Atmospheric Turbulence in Optical Astronomy Roddier, F. Progress in Optics https://doi.org/10.1016/S0079-6638(08)70204-X	book	January 1981
Detection and removal of artifacts in astronomical images Desai, S.; Mohr, J. J.; Bertin, E. Astronomy and Computing, Vol. 16 https://doi.org/10.1016/j.ascom.2016.04.002	journal	July 2016
A 1.4-GHz survey of the southern European Large-Area ISO Survey region Gruppioni, C.; Ciliegi, P.; Rowan-Robinson, M. Monthly Notices of the Royal Astronomical Society, Vol. 305, Issue 2 https://doi.org/10.1046/j.1365-8711.1999.02415.x	journal	May 1999
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
Gaia Data Release 1 : Testing parallaxes with local Cepheids and RR Lyrae stars⋆ Clementini, G.; Eyer, L.; Ripepi, V. Astronomy & Astrophysics, Vol. 605 https://doi.org/10.1051/0004-6361/201629925	journal	September 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
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
Simultaneous Multicolor Detection of Faint Galaxies in the Hubble Deep Field Szalay, Alexander S.; Connolly, Andrew J.; Szokoly, Gyula P. The Astronomical Journal, Vol. 117, Issue 1 https://doi.org/10.1086/300689	journal	January 1999
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
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
The USNO-B Catalog Monet, David G.; Levine, Stephen E.; Canzian, Blaise The Astronomical Journal, Vol. 125, Issue 2 https://doi.org/10.1086/345888	journal	February 2003
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
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
The Fifth Data Release of the Sloan Digital Sky Survey Adelman‐McCarthy, Jennifer K.; Agueros, Marcel A.; Allam, Sahar S. The Astrophysical Journal Supplement Series, Vol. 172, Issue 2 https://doi.org/10.1086/518864	journal	October 2007
SNANA: A Public Software Package for Supernova Analysis Kessler, Richard; Bernstein, Joseph P.; Cinabro, David Publications of the Astronomical Society of the Pacific, Vol. 121, Issue 883 https://doi.org/10.1086/605984	journal	September 2009
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
The Fourth us Naval Observatory ccd Astrograph Catalog (Ucac4) Zacharias, N.; Finch, C. T.; Girard, T. M. The Astronomical Journal, Vol. 145, Issue 2 https://doi.org/10.1088/0004-6256/145/2/44	journal	January 2013
Automated Transient Identification in the dark Energy Survey Goldstein, D. A.; D’Andrea, C. B.; Fischer, J. A. The Astronomical Journal, Vol. 150, Issue 3 https://doi.org/10.1088/0004-6256/150/3/82	journal	August 2015
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
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
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 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 CHANDRA DEEP FIELD-SOUTH SURVEY: 4 Ms SOURCE CATALOGS Xue, Y. Q.; Luo, B.; Brandt, W. N. The Astrophysical Journal Supplement Series, Vol. 195, Issue 1 https://doi.org/10.1088/0067-0049/195/1/10	journal	June 2011
The XMM-LSS survey. Survey design and first results Pierre, Marguerite; Valtchanov, Ivan; Altieri, Bruno Journal of Cosmology and Astroparticle Physics, Vol. 2004, Issue 09 https://doi.org/10.1088/1475-7516/2004/09/011	journal	September 2004
FermiGrid—experience and future plans Chadwick, K.; Berman, E.; Canal, P. Journal of Physics: Conference Series, Vol. 119, Issue 5 https://doi.org/10.1088/1742-6596/119/5/052010	journal	July 2008
Characterization and correction of charge-induced pixel shifts in DECam Gruen, D.; Bernstein, G. M.; Jarvis, M. Journal of Instrumentation, Vol. 10, Issue 05 https://doi.org/10.1088/1748-0221/10/05/C05032	journal	May 2015
The brighter-fatter effect and pixel correlations in CCD sensors Antilogus, P.; Astier, P.; Doherty, P. Journal of Instrumentation, Vol. 9, Issue 03 https://doi.org/10.1088/1748-0221/9/03/C03048	journal	March 2014
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
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
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
Cyber-infrastructure to support science and data management for the Dark Energy Survey Ngeow, C.; Mohr, J. J.; Alam, T. SPIE Astronomical Telescopes + Instrumentation, SPIE Proceedings https://doi.org/10.1117/12.671017	conference	June 2006
0.250mm-thick CCD packaging for the Dark Energy Survey Camera array Derylo, Gregory; Diehl, H. Thomas; Estrada, Juan SPIE Astronomical Telescopes + Instrumentation, SPIE Proceedings https://doi.org/10.1117/12.672505	conference	June 2006
The Dark Energy Survey data management system Mohr, Joseph J.; Adams, Darren; Barkhouse, Wayne SPIE Astronomical Telescopes + Instrumentation, SPIE Proceedings https://doi.org/10.1117/12.789550	conference	July 2008
Focal plane detectors for Dark Energy Camera (DECam) Estrada, J.; Alvarez, R.; Abbott, T. SPIE Astronomical Telescopes + Instrumentation, SPIE Proceedings https://doi.org/10.1117/12.857651	conference	July 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 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
Use of the Hough transformation to detect lines and curves in pictures Duda, Richard O.; Hart, Peter E. Communications of the ACM, Vol. 15, Issue 1 https://doi.org/10.1145/361237.361242	journal	January 1972
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
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
Practical Weak-lensing Shear Measurement with Metacalibration Sheldon, Erin S.; Huff, Eric M. The Astrophysical Journal, Vol. 841, Issue 1 https://doi.org/10.3847/1538-4357/aa704b	journal	May 2017
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
The Fifth Data Release of the Sloan Digital Sky Survey Adelman-McCarthy, Jennifer K. arXiv https://doi.org/10.48550/arxiv.0707.3380	text	January 2007
The Dark Energy Survey Data Management System Mohr, Joseph J.; Barkhouse, Wayne; Beldica, Cristina arXiv https://doi.org/10.48550/arxiv.0807.2515	text	January 2008
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
The Fourth US Naval Observatory CCD Astrograph Catalog (UCAC4) Zacharias, Norbert; Finch, Charlie; Girard, Terry arXiv https://doi.org/10.48550/arxiv.1212.6182	text	January 2012
The brighter-fatter effect and pixel correlations in CCD sensors Antilogus, P.; Astier, P.; Doherty, P. arXiv https://doi.org/10.48550/arxiv.1402.0725	text	January 2014
Characterization and correction of charge-induced pixel shifts in DECam Gruen, Daniel; Bernstein, Gary M.; Jarvis, Mike arXiv https://doi.org/10.48550/arxiv.1501.02802	text	January 2015
Automated Transient Identification in the Dark Energy Survey Goldstein, D. A.; D'Andrea, C. B.; Fischer, J. A. arXiv https://doi.org/10.48550/arxiv.1504.02936	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
Practical Weak Lensing Shear Measurement with Metacalibration Sheldon, Erin S.; Huff, Eric M. arXiv https://doi.org/10.48550/arxiv.1702.02601	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
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
The XMM-LSS survey. Survey design and first results Pierre, M.; Valtchanov, I.; Altieri, B. arXiv https://doi.org/10.48550/arxiv.astro-ph/0305191	text	January 2003
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
Cyber-infrastructure to Support Science and Data Management for the Dark Energy Survey Ngeow, C.; Mohr, J. J.; Alam, T. arXiv https://doi.org/10.48550/arxiv.astro-ph/0608246	text	January 2006
Simultaneous Multicolor Detection of Faint Galaxies in the Hubble Deep Field Szalay, A. S.; Connolly, A. J.; Szokoly, G. P. arXiv https://doi.org/10.48550/arxiv.astro-ph/9811086	text	January 1998
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
The Fifth Data Release of the Sloan Digital Sky Survey Adelman-McCarthy, Jennifer K.; Agüeros, Marcel Andre; Allam, Sahar S. Columbia University https://doi.org/10.7916/d8fq9wjn	text	January 2007
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

Cited By (53)

MAXIMASK and MAXITRACK: Two new tools for identifying contaminants in astronomical images using convolutional neural networks Paillassa, M.; Bertin, E.; Bouy, H. Astronomy & Astrophysics, Vol. 634 https://doi.org/10.1051/0004-6361/201936345	journal	February 2020
A catalogue of structural and morphological measurements for DES Y1 Tarsitano, F.; Hartley, W. G.; Amara, A. Monthly Notices of the Royal Astronomical Society, Vol. 481, Issue 2 https://doi.org/10.1093/mnras/sty1970	journal	July 2018
Dark Energy Survey year 1 results: galaxy sample for BAO measurement Crocce, M.; Ross, A. J.; Sevilla-Noarbe, I. Monthly Notices of the Royal Astronomical Society, Vol. 482, Issue 2 https://doi.org/10.1093/mnras/sty2522	journal	September 2018
Superluminous supernovae from the Dark Energy Survey Angus, C. R.; Smith, M.; Sullivan, M. Monthly Notices of the Royal Astronomical Society, Vol. 487, Issue 2 https://doi.org/10.1093/mnras/stz1321	journal	May 2019
Measurement of the splashback feature around SZ-selected Galaxy clusters with DES, SPT, and ACT Shin, T.; Adhikari, S.; Baxter, E. J. Monthly Notices of the Royal Astronomical Society, Vol. 487, Issue 2 https://doi.org/10.1093/mnras/stz1434	journal	May 2019
C iv black hole mass measurements with the Australian Dark Energy Survey (OzDES) Hoormann, J. K.; Martini, P.; Davis, T. M. Monthly Notices of the Royal Astronomical Society, Vol. 487, Issue 3 https://doi.org/10.1093/mnras/stz1539	journal	June 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
Galaxy shape measurement with convolutional neural networks Ribli, Dezső; Dobos, László; Csabai, István Monthly Notices of the Royal Astronomical Society, Vol. 489, Issue 4 https://doi.org/10.1093/mnras/stz2374	journal	August 2019
Brown dwarf census with the Dark Energy Survey year 3 data and the thin disc scale height of early L types Carnero Rosell, A.; Santiago, B.; dal Ponte, M. Monthly Notices of the Royal Astronomical Society, Vol. 489, Issue 4 https://doi.org/10.1093/mnras/stz2398	journal	September 2019
H0LiCOW – X. Spectroscopic/imaging survey and galaxy-group identification around the strong gravitational lens system WFI 2033−4723 Sluse, D.; Rusu, C. E.; Fassnacht, C. D. Monthly Notices of the Royal Astronomical Society, Vol. 490, Issue 1 https://doi.org/10.1093/mnras/stz2483	journal	September 2019
Finding high-redshift strong lenses in DES using convolutional neural networks Jacobs, C.; Collett, T.; Glazebrook, K. Monthly Notices of the Royal Astronomical Society, Vol. 484, Issue 4 https://doi.org/10.1093/mnras/stz272	journal	January 2019
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
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
Group pre-processing versus cluster ram-pressure stripping: the case of ESO156−G029 Džudžar, Robert; Kilborn, Virginia; Murugeshan, Chandrashekar Monthly Notices of the Royal Astronomical Society: Letters, Vol. 490, Issue 1 https://doi.org/10.1093/mnrasl/slz139	journal	September 2019
Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing Abbott, T. M. C.; Abdalla, F. B.; Alarcon, A. Physical Review D, Vol. 98, Issue 4 https://doi.org/10.1103/physrevd.98.043526	journal	August 2018
Dark Energy Survey year 1 results: Constraints on extended cosmological models from galaxy clustering and weak lensing Abbott, T. M. C.; Abdalla, F. B.; Avila, S. Physical Review D, Vol. 99, Issue 12 https://doi.org/10.1103/physrevd.99.123505	journal	June 2019
Cosmological Constraints from Multiple Probes in the Dark Energy Survey Abbott, T. M. C.; Alarcon, A.; Allam, S. Physical Review Letters, Vol. 122, Issue 17 https://doi.org/10.1103/physrevlett.122.171301	journal	May 2019
The Dark Energy Survey: Data Release 1 Abbott, Tmc; Abdalla, Fb; Allam, S. Apollo - University of Cambridge Repository https://doi.org/10.17863/cam.37745	text	January 2018
Dynamical Analysis of Three Distant Trans-Neptunian Objects with Similar Orbits Khain, T.; Becker, J. C.; Adams, F. C. The Astronomical Journal, Vol. 156, Issue 6 https://doi.org/10.3847/1538-3881/aaeb2a	journal	November 2018
Astrometry and Occultation Predictions to Trans-Neptunian and Centaur Objects Observed within the Dark Energy Survey Banda-Huarca, M. V.; Camargo, J. I. B.; Desmars, J. The Astronomical Journal, Vol. 157, Issue 3 https://doi.org/10.3847/1538-3881/aafb37	journal	February 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
Stellar Streams Discovered in the Dark Energy Survey Shipp, N.; Drlica-Wagner, A.; Balbinot, E. The Astrophysical Journal, Vol. 862, Issue 2 https://doi.org/10.3847/1538-4357/aacdab	journal	July 2018
Wide-field Optical Spectroscopy of Abell 133: A Search for Filaments Reported in X-Ray Observations Connor, Thomas; Kelson, Daniel D.; Mulchaey, John The Astrophysical Journal, Vol. 867, Issue 1 https://doi.org/10.3847/1538-4357/aae38b	journal	October 2018
The Precious Set of Radio-optical Reference Frame Objects in the Light of Gaia DR2 Data Makarov, Valeri V.; Berghea, Ciprian T.; Frouard, Julien The Astrophysical Journal, Vol. 873, Issue 2 https://doi.org/10.3847/1538-4357/aafa1c	journal	March 2019
Mass Calibration of Optically Selected DES Clusters Using a Measurement of CMB-cluster Lensing with SPTpol Data Raghunathan, S.; Patil, S.; Baxter, E. The Astrophysical Journal, Vol. 872, Issue 2 https://doi.org/10.3847/1538-4357/ab01ca	journal	February 2019
First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Photometric Pipeline and Light-curve Data Release Brout, D.; Sako, M.; Scolnic, D. The Astrophysical Journal, Vol. 874, Issue 1 https://doi.org/10.3847/1538-4357/ab06c1	journal	March 2019
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
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
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
The Dark Energy Survey: Data Release 1 Abbott, T. M. C.; Abdalla, F. B.; Allam, S. The Astrophysical Journal Supplement Series, Vol. 239, Issue 2 https://doi.org/10.3847/1538-4365/aae9f0	journal	November 2018
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
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
A Search for Optical Emission from Binary Black Hole Merger GW170814 with the Dark Energy Camera Doctor, Z.; Kessler, R.; Herner, K. The Astrophysical Journal, Vol. 873, Issue 2 https://doi.org/10.3847/2041-8213/ab08a3	journal	March 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
Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing Collaboration, Des; Abbott, T. M. C.; Abdalla, F. B. arXiv https://doi.org/10.48550/arxiv.1708.01530	text	January 2017
A catalogue of structural and morphological measurements for DES Y1 Tarsitano, F.; Hartley, W. G.; Amara, A. arXiv https://doi.org/10.48550/arxiv.1807.10767	text	January 2018
The morphology and structure of stellar populations in the Fornax dwarf spheroidal galaxy from Dark Energy Survey Data Wang, Mei-Yu; de Boer, T.; Pieres, A. arXiv https://doi.org/10.48550/arxiv.1809.07801	text	January 2018
Wide-Field Optical Spectroscopy of Abell 133: A Search for Filaments Reported in X-ray Observations Connor, Thomas; Kelson, Daniel D.; Mulchaey, John arXiv https://doi.org/10.48550/arxiv.1809.08241	text	January 2018
Dynamical Analysis of Three Distant Trans-Neptunian Objects with Similar Orbits Khain, T.; Becker, J. C.; Adams, F. C. arXiv https://doi.org/10.48550/arxiv.1810.10084	text	January 2018
Mass Calibration of Optically Selected DES clusters using a Measurement of CMB-Cluster Lensing with SPTpol Data Raghunathan, S.; Patil, S.; Baxter, E. arXiv https://doi.org/10.48550/arxiv.1810.10998	text	January 2018
Cosmological Constraints from Multiple Probes in the Dark Energy Survey Collaboration, Des; Abbott, T. M. C.; Alarcon, A. arXiv https://doi.org/10.48550/arxiv.1811.02375	text	January 2018
First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Photometric Pipeline and Light Curve Data Release Brout, D.; Sako, M.; Scolnic, D. arXiv https://doi.org/10.48550/arxiv.1811.02378	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
The precious set of radio-optical reference frame objects in the light of Gaia DR2 data Makarov, Valeri V.; Berghea, Ciprian T.; Frouard, Julien arXiv https://doi.org/10.48550/arxiv.1811.10117	text	January 2018
Astrometry and Occultation predictions to Trans-Neptunian and Centaur Objects observed within the Dark Energy Survey Banda-Huarca, Martin; Camargo, Julio; Desmars, Josselin arXiv https://doi.org/10.48550/arxiv.1811.10724	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
Superluminous Supernovae from the Dark Energy Survey Angus, C. R.; Smith, M.; Sullivan, M. arXiv https://doi.org/10.48550/arxiv.1812.04071	text	January 2018
CIV Black Hole Mass Measurements with the Australian Dark Energy Survey (OzDES) Hoormann, J. K.; Martini, P.; Davis, T. M. arXiv https://doi.org/10.48550/arxiv.1902.04206	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
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
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