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Title: Instrumental Response Model and Detrending for the Dark Energy Camera

Abstract

We describe the model for mapping from sky brightness to the digital output of the Dark Energy Camera (DECam) and the algorithms adopted by the Dark Energy Survey (DES) for inverting this model to obtain photometric measures of celestial objects from the raw camera output. This calibration aims for fluxes that are uniform across the camera field of view and across the full angular and temporal span of the DES observations, approaching the accuracy limits set by shot noise for the full dynamic range of DES observations. The DES pipeline incorporates several substantive advances over standard detrending techniques, including principal-components-based sky and fringe subtraction; correction of the "brighter-fatter" nonlinearity; use of internal consistency in on-sky observations to disentangle the influences of quantum efficiency, pixel-size variations, and scattered light in the dome flats; and pixel-by-pixel characterization of instrument spectral response, through combination of internal-consistency constraints with auxiliary calibration data. This article provides conceptual derivations of the detrending/calibration steps, and the procedures for obtaining the necessary calibration data. Other publications will describe the implementation of these concepts for the DES operational pipeline, the detailed methods, and the validation that the techniques can bring DECam photometry and astrometry within $$\approx 2$$ mmag and $$\approx 3$$ mas, respectively, of fundamental atmospheric and statistical limits. In conclusion, the DES techniques should be broadly applicable to wide-field imagers.

Authors:
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [5];  [6];  [7];  [8];  [2];  [7];  [7]
  1. Univ. of Pennsylvania, Philadelphia, PA (United States)
  2. National Optical Astronomy Observatory, La Serena (Chile)
  3. IIT Hyderabad, Telangana (India)
  4. Stanford Univ., Stanford, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)
  5. Univ. of Illinois, Urbana, IL (United States); National Center for Supercomputing Applications, Urbana, IL (United States)
  6. National Center for Supercomputing Applications, Urbana, IL (United States)
  7. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  8. Excellence Cluster Universe, Garching (Germany); Ludwig-Maximilians Univ. Munchen, Munchen (Germany)
Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Org.:
USDOE
Contributing Org.:
DES Collaboration
OSTI Identifier:
1410603
Grant/Contract Number:  
AC02-76SF00515; AST-1615555; SC0007901
Resource Type:
Accepted Manuscript
Journal Name:
Publications of the Astronomical Society of the Pacific
Additional Journal Information:
Journal Volume: 129; Journal Issue: 981; Journal ID: ISSN 0004-6280
Publisher:
Astronomical Society of the Pacific
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; methods: data analysis; techniques: photometric

Citation Formats

Bernstein, G. M., Abbott, T. M. C., Desai, S., Gruen, D., Gruendl, R. A., Johnson, M. D., Lin, H., Menanteau, F., Morganson, E., Neilsen, E., Paech, K., Walker, A. R., Wester, W., and Yanny, B.. Instrumental Response Model and Detrending for the Dark Energy Camera. United States: N. p., 2017. Web. https://doi.org/10.1088/1538-3873/aa858e.
Bernstein, G. M., Abbott, T. M. C., Desai, S., Gruen, D., Gruendl, R. A., Johnson, M. D., Lin, H., Menanteau, F., Morganson, E., Neilsen, E., Paech, K., Walker, A. R., Wester, W., & Yanny, B.. Instrumental Response Model and Detrending for the Dark Energy Camera. United States. https://doi.org/10.1088/1538-3873/aa858e
Bernstein, G. M., Abbott, T. M. C., Desai, S., Gruen, D., Gruendl, R. A., Johnson, M. D., Lin, H., Menanteau, F., Morganson, E., Neilsen, E., Paech, K., Walker, A. R., Wester, W., and Yanny, B.. Thu . "Instrumental Response Model and Detrending for the Dark Energy Camera". United States. https://doi.org/10.1088/1538-3873/aa858e. https://www.osti.gov/servlets/purl/1410603.
@article{osti_1410603,
title = {Instrumental Response Model and Detrending for the Dark Energy Camera},
author = {Bernstein, G. M. and Abbott, T. M. C. and Desai, S. and Gruen, D. and Gruendl, R. A. and Johnson, M. D. and Lin, H. and Menanteau, F. and Morganson, E. and Neilsen, E. and Paech, K. and Walker, A. R. and Wester, W. and Yanny, B.},
abstractNote = {We describe the model for mapping from sky brightness to the digital output of the Dark Energy Camera (DECam) and the algorithms adopted by the Dark Energy Survey (DES) for inverting this model to obtain photometric measures of celestial objects from the raw camera output. This calibration aims for fluxes that are uniform across the camera field of view and across the full angular and temporal span of the DES observations, approaching the accuracy limits set by shot noise for the full dynamic range of DES observations. The DES pipeline incorporates several substantive advances over standard detrending techniques, including principal-components-based sky and fringe subtraction; correction of the "brighter-fatter" nonlinearity; use of internal consistency in on-sky observations to disentangle the influences of quantum efficiency, pixel-size variations, and scattered light in the dome flats; and pixel-by-pixel characterization of instrument spectral response, through combination of internal-consistency constraints with auxiliary calibration data. This article provides conceptual derivations of the detrending/calibration steps, and the procedures for obtaining the necessary calibration data. Other publications will describe the implementation of these concepts for the DES operational pipeline, the detailed methods, and the validation that the techniques can bring DECam photometry and astrometry within $\approx 2$ mmag and $\approx 3$ mas, respectively, of fundamental atmospheric and statistical limits. In conclusion, the DES techniques should be broadly applicable to wide-field imagers.},
doi = {10.1088/1538-3873/aa858e},
journal = {Publications of the Astronomical Society of the Pacific},
number = 981,
volume = 129,
place = {United States},
year = {2017},
month = {9}
}

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Works referenced in this record:

The brighter-fatter effect and pixel correlations in CCD sensors
journal, March 2014


Intrinsic pixel size variation in an LSST prototype sensor
journal, May 2015


Astrometric Calibration and Performance of the Dark Energy Camera
journal, May 2017

  • Bernstein, G. M.; Armstrong, R.; Plazas, A. A.
  • Publications of the Astronomical Society of the Pacific, Vol. 129, Issue 977
  • DOI: 10.1088/1538-3873/aa6c55

SExtractor: Software for source extraction
journal, June 1996

  • Bertin, E.; Arnouts, S.
  • Astronomy and Astrophysics Supplement Series, Vol. 117, Issue 2
  • DOI: 10.1051/aas:1996164

All-Weather Calibration of Wide-Field Optical and nir Surveys
journal, December 2013


Robust principal component analysis?
journal, May 2011


The first and second data releases of the Kilo-Degree Survey
journal, October 2015

  • de Jong, Jelte T. A.; Verdoes Kleijn, Gijs A.; Boxhoorn, Danny R.
  • Astronomy & Astrophysics, Vol. 582
  • DOI: 10.1051/0004-6361/201526601

The Blanco Cosmology Survey: data Acquisition, Processing, Calibration, Quality Diagnostics, and data Release
journal, September 2012


The dark Energy Camera
journal, October 2015


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


Care, Feeding, And Use Of Charge-Coupled Device (CCD) Imagers At Palomar Observatory
conference, January 1981

  • Gunn, James E.; Westphal, James A.
  • Solid State Imagers for Astronomy, SPIE Proceedings
  • DOI: 10.1117/12.965831

Conference summary
journal, April 2014


New wide-field corrector for the Kitt Peak Mayall 4-m telescope
conference, July 1998

  • Jacoby, George H.; Liang, Ming; Vaughnn, David
  • Astronomical Telescopes & Instrumentation, SPIE Proceedings
  • DOI: 10.1117/12.316845

Monitoring the atmospheric throughput at Cerro Tololo Inter-American Observatory with aTmCam
conference, July 2014

  • Li, Ting; DePoy, D. L.; Marshall, Jennifer L.
  • SPIE Astronomical Telescopes + Instrumentation, SPIE Proceedings
  • DOI: 10.1117/12.2055167

Assessment of Systematic Chromatic Errors that Impact Sub-1% Photometric Precision in Large-Area sky Surveys
journal, May 2016


K-band galaxy counts
journal, January 1995

  • McLeod, B. A.; Bernstein, G. M.; Rieke, M. J.
  • The Astrophysical Journal Supplement Series, Vol. 96
  • DOI: 10.1086/192114

The Dark Energy Survey data processing and calibration system
conference, September 2012

  • Mohr, Joseph J.; Armstrong, Robert; Bertin, Emmanuel
  • SPIE Astronomical Telescopes + Instrumentation, SPIE Proceedings
  • DOI: 10.1117/12.926785

An Improved Photometric Calibration of the Sloan Digital Sky Survey Imaging Data
journal, February 2008

  • Padmanabhan, Nikhil; Schlegel, David J.; Finkbeiner, Douglas P.
  • The Astrophysical Journal, Vol. 674, Issue 2
  • DOI: 10.1086/524677

An update on the status and performance of the Radiometric All-Sky Infrared Camera (RASICAM)
conference, August 2014

  • Reil, Kevin; Lewis, Peter; Schindler, Rafe H.
  • SPIE Astronomical Telescopes + Instrumentation, SPIE Proceedings
  • DOI: 10.1117/12.2056692

Theli: Convenient Reduction of Optical, Near-Infrared, and Mid-Infrared Imaging data
journal, November 2013


Toward 1% Photometry: End‐to‐End Calibration of Astronomical Telescopes and Detectors
journal, August 2006

  • Stubbs, Christopher W.; Tonry, John L.
  • The Astrophysical Journal, Vol. 646, Issue 2
  • DOI: 10.1086/505138

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


Low-light-level charge-coupled device imaging in astronomy
journal, January 1986


Conference summary
journal, May 2015


    Works referencing / citing this record:

    The Large Synoptic Survey Telescope and Milky Way Science
    journal, July 2017


    SENSEI: Direct-Detection Constraints on Sub-GeV Dark Matter from a Shallow Underground Run Using a Prototype Skipper CCD
    journal, April 2019


    First Data Release of the All-sky NOAO Source Catalog
    journal, August 2018


    First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Photometric Pipeline and Light-curve Data Release
    journal, March 2019


    Dark Energy Survey Year 1 Results: Detection of Intracluster Light at Redshift ∼ 0.25
    journal, April 2019


    The Dark Energy Survey: Data Release 1
    journal, November 2018

    • Abbott, T. M. C.; Abdalla, F. B.; Allam, S.
    • The Astrophysical Journal Supplement Series, Vol. 239, Issue 2
    • DOI: 10.3847/1538-4365/aae9f0

    A Search for Optical Emission from Binary Black Hole Merger GW170814 with the Dark Energy Camera
    journal, March 2019


    GROWTH on S190426c: Real-time Search for a Counterpart to the Probable Neutron Star–Black Hole Merger using an Automated Difference Imaging Pipeline for DECam
    journal, August 2019

    • Goldstein, Daniel A.; Andreoni, Igor; Nugent, Peter E.
    • The Astrophysical Journal, Vol. 881, Issue 1
    • DOI: 10.3847/2041-8213/ab3046