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Title: The Dark Energy Survey Image Processing Pipeline

Abstract

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 deg 2 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 deg 2. 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.

Authors:
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Publication Date:
Research Org.:
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)
Contributing Org.:
DES Collaboration
OSTI Identifier:
1457775
Grant/Contract Number:  
AC02-76SF00515; AC02-07CH11359
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Publications of the Astronomical Society of the Pacific
Additional Journal Information:
Journal Volume: 130; Journal Issue: 989; Journal ID: ISSN 0004-6280
Publisher:
Astronomical Society of the Pacific
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

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., and Wester, W. The Dark Energy Survey Image Processing Pipeline. United States: N. p., 2018. Web. doi:10.1088/1538-3873/aab4ef.
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. The Dark Energy Survey Image Processing Pipeline. United States. doi:10.1088/1538-3873/aab4ef.
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., and Wester, W. Thu . "The Dark Energy Survey Image Processing Pipeline". United States. doi:10.1088/1538-3873/aab4ef. https://www.osti.gov/servlets/purl/1457775.
@article{osti_1457775,
title = {The Dark Energy Survey Image Processing Pipeline},
author = {Morganson, E. and Gruendl, R. A. and Menanteau, F. and Kind, M. Carrasco and Chen, Y. -C. and Daues, G. and Drlica-Wagner, A. and Friedel, D. N. and Gower, M. and Johnson, M. W. G. and Johnson, M. D. and Kessler, R. and Paz-Chinchón, F. and Petravick, D. and Pond, C. and Yanny, B. and Allam, S. and Armstrong, R. and Barkhouse, W. and Bechtol, K. and Benoit-Lévy, A. and Bernstein, G. M. and Bertin, E. and Buckley-Geer, E. and Covarrubias, R. and Desai, S. and Diehl, H. T. and Goldstein, D. A. and Gruen, D. and Li, T. S. and Lin, H. and Marriner, J. and Mohr, J. J. and Neilsen, E. and Ngeow, C. -C. and Paech, K. and Rykoff, E. S. and Sako, M. and Sevilla-Noarbe, I. and Sheldon, E. and Sobreira, F. and Tucker, D. L. and Wester, W.},
abstractNote = {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.},
doi = {10.1088/1538-3873/aab4ef},
journal = {Publications of the Astronomical Society of the Pacific},
issn = {0004-6280},
number = 989,
volume = 130,
place = {United States},
year = {2018},
month = {5}
}

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