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Title: The Dark Energy Survey: Data Release 1

Abstract

We describe the first public data release of the Dark Energy Survey, DES DR1, consisting of reduced single epoch images, coadded images, coadded source catalogs, and associated products and services assembled over the first three years of DES science operations. DES DR1 is based on optical/near-infrared imaging from 345 distinct nights (August 2013 to February 2016) by the Dark Energy Camera mounted on the 4-m Blanco telescope at Cerro Tololo Inter-American Observatory in Chile. We release data from the DES wide-area survey covering ~5,000 sq. deg. 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 arcsec FWHM, a photometric precision of < 1% in all bands, and an astrometric precision of 151 mas. The median coadded catalog depth for a 1.95" diameter aperture at S/N = 10 is g = 24.33, r = 24.08, i = 23.44, z = 22.69, and Y = 21.44 mag. DES DR1 includes nearly 400M distinct astronomical objects detected in ~10,000 coadd tiles of size 0.534 sq. deg. produced from ~39,000 individual exposures. Benchmark galaxy and stellar samplesmore » contain ~310M and ~ 80M 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 coadd image visualization tool. DES DR1 constitutes the largest photometric data set to date at the achieved depth and photometric precision.« less

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Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Brookhaven National Lab. (BNL), Upton, NY (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
Contributing Org.:
DES Collaboration; NOAO Data Lab
OSTI Identifier:
1490357
Alternate Identifier(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 ID: ISSN 1538-4365; 1647350
Grant/Contract Number:  
AC02-07CH11359; SC0012704; AC05-00OR22725; AC02-76SF00515; AC02-05CH11231
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: 239; 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; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; DES; surverys; catalogs; technique; image processing; photometric; cosmology; observations

Citation Formats

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., and Scott, A. The Dark Energy Survey: Data Release 1. United States: N. p., 2018. Web. doi:10.3847/1538-4365/aae9f0.
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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. The Dark Energy Survey: Data Release 1. United States. doi:10.3847/1538-4365/aae9f0.
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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., and Scott, A. Mon . "The Dark Energy Survey: Data Release 1". United States. doi:10.3847/1538-4365/aae9f0. https://www.osti.gov/servlets/purl/1490357.
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@article{osti_1490357,
title = {The Dark Energy Survey: Data Release 1},
author = {Abbott, T. M. C. and Abdalla, F. B. and Allam, S. and Amara, A. and Annis, J. and Asorey, J. and Avila, S. and Ballester, O. and Banerji, M. and Barkhouse, W. and Baruah, L. and Baumer, M. and Bechtol, K. and Becker, M. R. and Benoit-Lévy, A. and Bernstein, G. M. and Bertin, E. and Blazek, J. and Bocquet, S. and Brooks, D. and Brout, D. and Buckley-Geer, E. and Burke, D. L. and Busti, V. and Campisano, R. and Cardiel-Sas, L. and Rosell, A. Carnero and Kind, M. Carrasco and Carretero, J. and Castander, F. J. and Cawthon, R. and Chang, C. and Chen, X. and Conselice, C. and Costa, G. and Crocce, M. and Cunha, C. E. and D’Andrea, C. B. and Costa, L. N. da and Das, R. and Daues, G. and Davis, T. M. and Davis, C. and Vicente, J. De and DePoy, D. L. and DeRose, J. and Desai, S. and Diehl, H. T. and Dietrich, J. P. and Dodelson, S. and Doel, P. and Drlica-Wagner, A. and Eifler, T. F. and Elliott, A. E. and Evrard, A. E. and Farahi, A. and Neto, A. Fausti and Fernandez, E. and Finley, D. A. and Flaugher, B. and Foley, R. J. and Fosalba, P. and Friedel, D. N. and Frieman, J. and García-Bellido, J. and Gaztanaga, E. and Gerdes, D. W. and Giannantonio, T. and Gill, M. S. S. and Glazebrook, K. and Goldstein, D. A. and Gower, M. and Gruen, D. and Gruendl, R. A. and Gschwend, J. and Gupta, R. R. and Gutierrez, G. and Hamilton, S. and Hartley, W. G. and Hinton, S. R. and Hislop, J. M. and Hollowood, D. and Honscheid, K. and Hoyle, B. and Huterer, D. and Jain, B. and James, D. J. and Jeltema, T. and Johnson, M. W. G. and Johnson, M. D. and Kacprzak, T. and Kent, S. and Khullar, G. and Klein, M. and Kovacs, A. and Koziol, A. M. G. and Krause, E. and Kremin, A. and Kron, R. and Kuehn, K. and Kuhlmann, S. and Kuropatkin, N. and Lahav, O. and Lasker, J. and Li, T. S. and Li, R. T. and Liddle, A. R. and Lima, M. and Lin, H. and López-Reyes, P. and MacCrann, N. and Maia, M. A. G. and Maloney, J. D. and Manera, M. and March, M. and Marriner, J. and Marshall, J. L. and Martini, P. and McClintock, T. and McKay, T. and McMahon, R. G. and Melchior, P. and Menanteau, F. and Miller, C. J. and Miquel, R. and Mohr, J. J. and Morganson, E. and Mould, J. and Neilsen, E. and Nichol, R. C. and Nogueira, F. and Nord, B. and Nugent, P. and Nunes, L. and Ogando, R. L. C. and Old, L. and Pace, A. B. and Palmese, A. and Paz-Chinchón, F. and Peiris, H. V. and Percival, W. J. and Petravick, D. and Plazas, A. A. and Poh, J. and Pond, C. and Porredon, A. and Pujol, A. and Refregier, A. and Reil, K. and Ricker, P. M. and Rollins, R. P. and Romer, A. K. and Roodman, A. and Rooney, P. and Ross, A. J. and Rykoff, E. S. and Sako, M. and Sanchez, M. L. and Sanchez, E. and Santiago, B. and Saro, A. and Scarpine, V. and Scolnic, D. and Serrano, S. and Sevilla-Noarbe, I. and Sheldon, E. and Shipp, N. and Silveira, M. L. and Smith, M. and Smith, R. C. and Smith, J. A. and Soares-Santos, M. and Sobreira, F. and Song, J. and Stebbins, A. and Suchyta, E. and Sullivan, M. and Swanson, M. E. C. and Tarle, G. and Thaler, J. and Thomas, D. and Thomas, R. C. and Troxel, M. A. and Tucker, D. L. and Vikram, V. and Vivas, A. K. and Walker, A. R. and Wechsler, R. H. and Weller, J. and Wester, W. and Wolf, R. C. and Wu, H. and Yanny, B. and Zenteno, A. and Zhang, Y. and Zuntz, J. and Juneau, S. and Fitzpatrick, M. and Nikutta, R. and Nidever, D. and Olsen, K. and Scott, A.},
abstractNote = {We describe the first public data release of the Dark Energy Survey, DES DR1, consisting of reduced single epoch images, coadded images, coadded source catalogs, and associated products and services assembled over the first three years of DES science operations. DES DR1 is based on optical/near-infrared imaging from 345 distinct nights (August 2013 to February 2016) by the Dark Energy Camera mounted on the 4-m Blanco telescope at Cerro Tololo Inter-American Observatory in Chile. We release data from the DES wide-area survey covering ~5,000 sq. deg. 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 arcsec FWHM, a photometric precision of < 1% in all bands, and an astrometric precision of 151 mas. The median coadded catalog depth for a 1.95" diameter aperture at S/N = 10 is g = 24.33, r = 24.08, i = 23.44, z = 22.69, and Y = 21.44 mag. DES DR1 includes nearly 400M distinct astronomical objects detected in ~10,000 coadd tiles of size 0.534 sq. deg. produced from ~39,000 individual exposures. Benchmark galaxy and stellar samples contain ~310M and ~ 80M 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 coadd image visualization tool. DES DR1 constitutes the largest photometric data set to date at the achieved depth and photometric precision.},
doi = {10.3847/1538-4365/aae9f0},
journal = {The Astrophysical Journal. Supplement Series (Online)},
number = 2,
volume = 239,
place = {United States},
year = {2018},
month = {11}
}
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DOI:  10.3847/1538-4365/aae9f0
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Table 1 Table 1: DES DR1 key numbers and data quality summary. For parameters representing a distribution, the median or mean values are quoted as specified in the main text. All magnitudes are in the AB system.
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  • Erben, T.; Hildebrandt, H.; Miller, L.
  • Monthly Notices of the Royal Astronomical Society, Vol. 433, Issue 3
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Star-Galaxy Classification in Multi-Band Optical Imaging
journal, October 2012

Correcting for the Effects of Interstellar Extinction
journal, January 1999

  • Fitzpatrick, Edward L.
  • Publications of the Astronomical Society of the Pacific, Vol. 111, Issue 755
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The dark Energy Camera
journal, October 2015

Gaia Data Release 1 : Summary of the astrometric, photometric, and survey properties
journal, November 2016

HEALPix: A Framework for High‐Resolution Discretization and Fast Analysis of Data Distributed on the Sphere
journal, April 2005

  • Gorski, K. M.; Hivon, E.; Banday, A. J.
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Representations of world coordinates in FITS
journal, November 2002

Characterization and correction of charge-induced pixel shifts in DECam
journal, May 2015

A scheme to deal accurately and efficiently with complex angular masks in galaxy surveys
journal, March 2004

A Catalog of Parameters for Globular Clusters in the Milky Way
journal, October 1996

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Matplotlib: A 2D Graphics Environment
journal, January 2007

Gaia broad band photometry
journal, November 2010

The Difference Imaging Pipeline for the Transient Search in the dark Energy Survey
journal, November 2015

Star–galaxy classification using deep convolutional neural networks
journal, October 2016

  • Kim, Edward J.; Brunner, Robert J.
  • Monthly Notices of the Royal Astronomical Society, Vol. 464, Issue 4
  • DOI: 10.1093/mnras/stw2672

A hybrid ensemble learning approach to star–galaxy classification
journal, August 2015

  • Kim, Edward J.; Brunner, Robert J.; Carrasco Kind, Matias
  • Monthly Notices of the Royal Astronomical Society, Vol. 453, Issue 1
  • DOI: 10.1093/mnras/stv1608

The Dark Energy Survey Image Processing Pipeline
journal, May 2018

  • Morganson, E.; Gruendl, R. A.; Menanteau, F.
  • Publications of the Astronomical Society of the Pacific, Vol. 130, Issue 989
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Absolute Spectral Energy Distributions for White Dwarfs
journal, February 1974

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Magnitudes of Thirty-six of the Minor Planets for the First Day of each Month of the Year 1857
journal, November 1856

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  • Monthly Notices of the Royal Astronomical Society, Vol. 17, Issue 1
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DES J0454−4448: discovery of the first luminous z ≥ 6 quasar from the Dark Energy Survey
journal, October 2015

  • Reed, S. L.; McMahon, R. G.; Banerji, M.
  • Monthly Notices of the Royal Astronomical Society, Vol. 454, Issue 4
  • DOI: 10.1093/mnras/stv2031

Measuring Reddening with Sloan Digital sky Survey Stellar Spectra and Recalibrating sfd
journal, August 2011

Maps of Dust Infrared Emission for Use in Estimation of Reddening and Cosmic Microwave Background Radiation Foregrounds
journal, June 1998

  • Schlegel, David J.; Finkbeiner, Douglas P.; Davis, Marc
  • The Astrophysical Journal, Vol. 500, Issue 2
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An implementation of Bayesian lensing shear measurement
journal, July 2014

  • Sheldon, Erin S.
  • Monthly Notices of the Royal Astronomical Society: Letters, Vol. 444, Issue 1
  • DOI: 10.1093/mnrasl/slu104

The Two Micron All Sky Survey (2MASS)
journal, February 2006

  • Skrutskie, M. F.; Cutri, R. M.; Stiening, R.
  • The Astronomical Journal, Vol. 131, Issue 2
  • DOI: 10.1086/498708

Star/galaxy separation at faint magnitudes: application to a simulated Dark Energy Survey
journal, April 2015

  • Soumagnac, M. T.; Abdalla, F. B.; Lahav, O.
  • Monthly Notices of the Royal Astronomical Society, Vol. 450, Issue 1
  • DOI: 10.1093/mnras/stu1410

Methods for rapidly processing angular masks of next-generation galaxy surveys
journal, July 2008

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  • Monthly Notices of the Royal Astronomical Society, Vol. 387, Issue 4
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The NumPy Array: A Structure for Efficient Numerical Computation
journal, March 2011

  • van der Walt, Stéfan; Colbert, S. Chris; Varoquaux, Gaël
  • Computing in Science & Engineering, Vol. 13, Issue 2
  • DOI: 10.1109/MCSE.2011.37

The Sloan Digital Sky Survey: Technical Summary
journal, September 2000

  • York, Donald G.; Adelman, J.; Anderson, Jr., John E.
  • The Astronomical Journal, Vol. 120, Issue 3
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    Gaia DR 2 and VLT/FLAMES search for new satellites of the LMC
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      Figure 6(p. 7)figure
      Figure 7(p. 9)figure
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      Table 2(p. 12)table
      Figure 12(p. 13)figure
      Table 3(p. 14)table
      Table 4(p. 14)table
      Table 5(p. 14)table
      Figure 13(p. 15)figure
      Figure 14(p. 16)figure
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      Figure 18(p. 17)figure
      Figure 19(p. 17)figure
      Figure 20(p. 17)figure
      Table 6(p. 18)table
      Table D.1(p. 24)table
      Table E.1 Part 1(p. 25)table
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