Astrometric Calibration and Performance of the Dark Energy Camera

We characterize the ability of the Dark Energy Camera (DECam) to perform relative astrometry across its 500 Mpix, 3-deg2 science field of view and across four years of operation. This is done using internal comparisons of ∼4 × 107 measurements of high signal-to-noise ratio stellar images obtained in repeat visits to fields of moderate stellar density, with the telescope dithered to move the sources around the array. An empirical astrometric model includes terms for optical distortions; stray electric fields in the CCD detectors; chromatic terms in the instrumental and atmospheric optics; shifts in CCD relative positions of up to ≈10 μm when the DECam temperature cycles; and low-order distortions to each exposure from changes in atmospheric refraction and telescope alignment. Errors in this astrometric model are dominated by stochastic variations with typical amplitudes of 10–30 mas (in a 30 s exposure) and 5′–10′ coherence length, plausibly attributed to Kolmogorov-spectrum atmospheric turbulence. The size of these atmospheric distortions is not closely related to the seeing. Given an astrometric reference catalog at density ≈ 0.7 arcmin − 2 , e.g., from Gaia, the typical atmospheric distortions can be interpolated to ≈7 mas rms accuracy (for 30 s exposures) with 1 ′ coherence length in residual errors. Remaining detectable error contributors are 2–4 mas rms from unmodelled stray electric fields in the devices, and another 2–4 mas rms from focal plane shifts between camera thermal cycles. Thus the astrometric solution for a single DECam exposure is accurate to 3–6 mas (≈0.02 pixels, or ≈300 nm) on the focal plane, plus the stochastic atmospheric distortion.

[1]  Observatoire de la Côte d'Azur,et al.  Gaia Data Release 1. Summary of the astrometric, photometric, and survey properties , 2016, 1609.04172.

[2]  Gary M. Bernstein,et al.  Characterization and correction of charge-induced pixel shifts in DECam , 2015, 1501.02802.

[3]  J. Meyers,et al.  IMPACT OF ATMOSPHERIC CHROMATIC EFFECTS ON WEAK LENSING MEASUREMENTS , 2014, 1409.6273.

[4]  Aaron Roodman,et al.  Wavefront sensing and the active optics system of the dark energy camera , 2014 .

[5]  D. Barrado,et al.  Dynamical analysis of nearby clusters - Automated astrometry from the ground: precision proper motions over a wide field , 2013, 1306.4446.

[6]  Gary M. Bernstein,et al.  Atmospheric Dispersion Effects in Weak Lensing Measurements , 2012, 1204.1346.

[7]  G. Piotto,et al.  Ground-based CCD astrometry with wide field imagers - I. Observations just a few years apart allow decontamination of field objects from members in two globular clusters , 2006, astro-ph/0604541.

[8]  R. Wyse,et al.  Deep Astrometric Standards and Galactic Structure , 2005, astro-ph/0509606.

[9]  Y. Mellier,et al.  B-modes in cosmic shear from source redshift clustering , 2001, astro-ph/0112441.

[10]  Jay Anderson,et al.  Astrometric and Photometric Corrections for the 34th Row Error in HST’s WFPC2 Camera , 1999 .

[11]  N. Zacharias MEASURING THE ATMOSPHERIC INFLUENCE ON DIFFERENTIAL ASTROMETRY: A SIMPLE METHOD APPLIED TO WIDE FIELD CCD FRAMES , 1996, astro-ph/9609143.

[12]  E. Bertin,et al.  SExtractor: Software for source extraction , 1996 .

[13]  I. Han,et al.  A STUDY OF THE ACCURACY OF NARROW FIELD ASTROMETRY USING STAR TRAILS TAKEN WITH THE CFHT , 1995 .

[14]  William H. Press,et al.  Numerical recipes in C , 2002 .