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The Dark Energy Survey Image Processing Pipeline
The Dark Energy Survey Image Processing Pipeline
by Diehl, H. T. , Buckley-Geer, E. , Sako, M. , Paz-Chinchón, F. , Wester, W. , Ngeow, C. -C. , Gower, M. , Allam, S. , Covarrubias, R. , Johnson, M. D. , Petravick, D. , Menanteau, F. , Yanny, B. , Bertin, E. , Sheldon, E. , Gruendl, R. A. , Chen, Y. -C. , Morganson, E. , Paech, K. , Barkhouse, W. , Daues, G. , Desai, S. , Kind, M. Carrasco , Johnson, M. W. G. , Bernstein, G. M. , Li, T. S. , Benoit-Lévy, A. , Marriner, J. , Lin, H. , Bechtol, K. , Gruen, D. , Pond, C. , Drlica-Wagner, A. , Mohr, J. J. , Sobreira, F. , Armstrong, R. , Goldstein, D. A. , Sevilla-Noarbe, I. , Tucker, D. L. , Friedel, D. N. , Rykoff, E. S. , Kessler, R. , Neilsen, E.
2018
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The Dark Energy Survey Image Processing Pipeline
by Diehl, H. T. , Buckley-Geer, E. , Sako, M. , Paz-Chinchón, F. , Wester, W. , Ngeow, C. -C. , Gower, M. , Allam, S. , Covarrubias, R. , Johnson, M. D. , Petravick, D. , Menanteau, F. , Yanny, B. , Bertin, E. , Sheldon, E. , Gruendl, R. A. , Chen, Y. -C. , Morganson, E. , Paech, K. , Barkhouse, W. , Daues, G. , Desai, S. , Kind, M. Carrasco , Johnson, M. W. G. , Bernstein, G. M. , Li, T. S. , Benoit-Lévy, A. , Marriner, J. , Lin, H. , Bechtol, K. , Gruen, D. , Pond, C. , Drlica-Wagner, A. , Mohr, J. J. , Sobreira, F. , Armstrong, R. , Goldstein, D. A. , Sevilla-Noarbe, I. , Tucker, D. L. , Friedel, D. N. , Rykoff, E. S. , Kessler, R. , Neilsen, E.
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2018
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The Dark Energy Survey Image Processing Pipeline
The Dark Energy Survey Image Processing Pipeline
by Diehl, H. T. , Buckley-Geer, E. , Sako, M. , Paz-Chinchón, F. , Wester, W. , Ngeow, C. -C. , Gower, M. , Allam, S. , Covarrubias, R. , Johnson, M. D. , Petravick, D. , Menanteau, F. , Yanny, B. , Bertin, E. , Sheldon, E. , Gruendl, R. A. , Chen, Y. -C. , Morganson, E. , Paech, K. , Barkhouse, W. , Daues, G. , Desai, S. , Kind, M. Carrasco , Johnson, M. W. G. , Bernstein, G. M. , Li, T. S. , Benoit-Lévy, A. , Marriner, J. , Lin, H. , Bechtol, K. , Gruen, D. , Pond, C. , Drlica-Wagner, A. , Mohr, J. J. , Sobreira, F. , Armstrong, R. , Goldstein, D. A. , Sevilla-Noarbe, I. , Tucker, D. L. , Friedel, D. N. , Rykoff, E. S. , Kessler, R. , Neilsen, E.
2018

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Mohammed Bin Rashid Library /
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The Dark Energy Survey Image Processing Pipeline
The Dark Energy Survey Image Processing Pipeline
Journal Article

The Dark Energy Survey Image Processing Pipeline

Diehl, H. T.,
Buckley-Geer, E.,
Sako, M.,
Paz-Chinchón, F.,
Wester, W.,
Ngeow, C. -C.,
Gower, M.,
Allam, S.,
Covarrubias, R.,
Johnson, M. D.,
Petravick, D.,
Menanteau, F.,
Yanny, B.,
Bertin, E.,
Sheldon, E.,
Gruendl, R. A.,
Chen, Y. -C.,
Morganson, E.,
Paech, K.,
Barkhouse, W.,
Daues, G.,
Desai, S.,
Kind, M. Carrasco,
Johnson, M. W. G.,
Bernstein, G. M.,
Li, T. S.,
Benoit-Lévy, A.,
Marriner, J.,
Lin, H.,
Bechtol, K.,
Gruen, D.,
Pond, C.,
Drlica-Wagner, A.,
Mohr, J. J.,
Sobreira, F.,
Armstrong, R.,
Goldstein, D. A.,
Sevilla-Noarbe, I.,
Tucker, D. L.,
Friedel, D. N.,
Rykoff, E. S.,
Kessler, R.,
Neilsen, E.
2018
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Overview
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.
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Astronomical Society of the Pacific

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