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Title: Forward Global Photometric Calibration of the Dark Energy Survey

Journal Article · · The Astronomical Journal (Online)
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Many scientific goals for the Dark Energy Survey (DES) require the calibration of optical/NIR broadband b = grizY photometry that is stable in time and uniform over the celestial sky to one percent or better. It is also necessary to limit to similar accuracy systematic uncertainty in the calibrated broadband magnitudes due to uncertainty in the spectrum of the source. Here we present a "Forward Global Calibration Method (FGCM)" for photometric calibration of the DES, and we present results of its application to the first three years of the survey (Y3A1). The FGCM combines data taken with auxiliary instrumentation at the observatory with data from the broadband survey imaging itself and models of the instrument and atmosphere to estimate the spatial and time dependences of the passbands of individual DES survey exposures. "Standard" passbands that are typical of the passbands encountered during the survey are chosen. The passband of any individual observation is combined with an estimate of the source spectral shape to yield a magnitude $${m}_{b}^{\mathrm{std}}$$ in the standard system. This "chromatic correction" to the standard system is necessary to achieve subpercent calibrations and in particular, to resolve ambiguity between the broadband brightness of a source and the shape of its SED. The FGCM achieves a reproducible and stable photometric calibration of standard magnitudes $${m}_{b}^{\mathrm{std}}$$ of stellar sources over the multiyear Y3A1 data sample with residual random calibration errors of $$\sigma =6\mbox{--}7\,\mathrm{mmag}$$ per exposure. The accuracy of the calibration is uniform across the $$5000\,{\deg }^{2}$$ DES footprint to within $$\sigma =7\,\mathrm{mmag}$$. The systematic uncertainties of magnitudes in the standard system due to the spectra of sources are less than $$5\,\mathrm{mmag}$$ for main-sequence stars with $$0.5\lt g-i\lt 3.0$$.

Research Organization:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (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
Grant/Contract Number:
AC02-76SF00515; AC02-07CH11359; AC05-00OR22725
OSTI ID:
1419989
Alternate ID(s):
OSTI ID: 1367897; OSTI ID: 1422477
Report Number(s):
arXiv:1706.01542; DES-2016-0190; SLAC-PUB-16987; FERMILAB-PUB-17-179-PPD; TRN: US1801437
Journal Information:
The Astronomical Journal (Online), Vol. 155, Issue 1; ISSN 1538-3881
Publisher:
IOP Publishing - AAASCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 66 works
Citation information provided by
Web of Science

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Cited By (30)

The Dark Energy Survey Image Processing Pipeline journal May 2018
Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies journal April 2018
C iv black hole mass measurements with the Australian Dark Energy Survey (OzDES) journal June 2019
The Southern Photometric Local Universe Survey (S-PLUS): improved SEDs, morphologies, and redshifts with 12 optical filters journal August 2019
Producing a BOSS CMASS sample with DES imaging journal September 2019
Brown dwarf census with the Dark Energy Survey year 3 data and the thin disc scale height of early L types journal September 2019
First cosmology results using Type IA supernovae from the dark energy survey: effects of chromatic corrections to supernova photometry on measurements of cosmological parameters journal March 2019
Cosmological Constraints from Multiple Probes in the Dark Energy Survey journal May 2019
Overview of the DESI Legacy Imaging Surveys journal April 2019
Identification of RR Lyrae Stars in Multiband, Sparsely Sampled Data from the Dark Energy Survey Using Template Fitting and Random Forest Classification journal June 2019
Stellar Streams Discovered in the Dark Energy Survey journal July 2018
The First Tidally Disrupted Ultra-faint Dwarf Galaxy?: A Spectroscopic Analysis of the Tucana III Stream journal October 2018
LSST: From Science Drivers to Reference Design and Anticipated Data Products journal March 2019
First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Photometric Pipeline and Light-curve Data Release journal March 2019
First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation journal April 2019
The Dark Energy Survey: Data Release 1 journal November 2018
Quasar Accretion Disk Sizes from Continuum Reverberation Mapping in the DES Standard-star Fields journal January 2020
First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters journal February 2019
The Dark Energy Survey: Data Release 1 text January 2018
LSST: from Science Drivers to Reference Design and Anticipated Data Products text January 2008
Dark Energy Survey Year 1 Results: Redshift distributions of the weak lensing source galaxies text January 2017
The Dark Energy Survey Image Processing Pipeline text January 2018
Overview of the DESI Legacy Imaging Surveys text January 2018
Cosmological Constraints from Multiple Probes in the Dark Energy Survey text January 2018
First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Photometric Pipeline and Light Curve Data Release text January 2018
Quasar Accretion Disk Sizes from Continuum Reverberation Mapping in the DES Standard Star Fields text January 2018
CIV Black Hole Mass Measurements with the Australian Dark Energy Survey (OzDES) 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 text January 2019
Producing a BOSS-CMASS sample with DES imaging text January 2019
The Southern Photometric Local Universe Survey (S-PLUS): improved SEDs, morphologies and redshifts with 12 optical filters text January 2019

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