Assessment of Systematic Chromatic Errors that Impact Sub-1% Photometric Precision in Large-Area Sky Surveys
arXiv:1601.00117 · doi:10.3847/0004-6256/151/6/157
Abstract
Meeting the science goals for many current and future ground-based optical large-area sky surveys requires that the calibrated broadband photometry is stable in time and uniform over the sky to 1% precision or better. Past surveys have achieved photometric precision of 1-2% by calibrating the survey's stellar photometry with repeated measurements of a large number of stars observed in multiple epochs. The calibration techniques employed by these surveys only consider the relative frame-by-frame photometric zeropoint offset and the focal plane position-dependent illumination corrections, which are independent of the source color. However, variations in the wavelength dependence of the atmospheric transmission and the instrumental throughput induce source color-dependent systematic errors. These systematic errors must also be considered to achieve the most precise photometric measurements. In this paper, we examine such systematic chromatic errors using photometry from the Dark Energy Survey (DES) as an example. We define a natural magnitude system for DES and calculate the systematic errors on stellar magnitudes, when the atmospheric transmission and instrumental throughput deviate from the natural system. We conclude that the systematic chromatic errors caused by the change of airmass in each exposure, the change of the precipitable water vapor and aerosol in the atmosphere over time, and the non-uniformity of instrumental throughput over the focal plane, can be up to 2% in some bandpasses. We compare the calculated systematic chromatic errors with the observed DES data. For the test sample data, we correct these errors using measurements of the atmospheric transmission and instrumental throughput. The residual after correction is less than 0.3%. We also find that the errors for non-stellar objects are redshift-dependent and can be larger than those for stars at certain redshifts.
16 pages, 9 figures, AJ accepted
References in corpus (9)
- SDSS Standard Star Catalog for Stripe 82: the Dawn of Industrial 1% Optical Photometry
- The Blanco Cosmology Survey: Data Acquisition, Processing, Calibration, Quality Diagnostics and Data Release
- A rocky planet transiting a nearby low-mass star
- Toward 1% Photometry: End-to-end Calibration of Astronomical Telescopes and Detectors
- Towards More Precise Survey Photometry for PanSTARRS and LSST: Measuring Directly the Optical Transmission Spectrum of the Atmosphere
- The LMC geometry and outer stellar populations from early DES data
- Stellar color regression: a spectroscopy based method for color calibration to a few mmag accuracy and the recalibration of Stripe 82
- All-sky homogeneity of precipitable water vapour over Paranal
- An Improved Photometric Calibration of the Sloan Digital Sky Survey Imaging Data
Cited by in corpus (22)
- The Complete Light-curve Sample of Spectroscopically Confirmed Type Ia Supernovae from Pan-STARRS1 and Cosmological Constraints from The Combined Pantheon Sample
- Overview of the DESI Legacy Imaging Surveys
- Weak lensing for precision cosmology
- Dark Energy Survey Year 3 Results: Photometric Data Set for Cosmology
- Milky Way Satellite Census. I. The Observational Selection Function for Milky Way Satellites in DES Y3 and Pan-STARRS DR1
- The DECam Plane Survey: Optical photometry of two billion objects in the southern Galactic plane
- Forward Global Photometric Calibration of the Dark Energy Survey
- First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Photometric Pipeline and Light Curve Data Release
- Cosmology from large scale galaxy clustering and galaxy-galaxy lensing with Dark Energy Survey Science Verification data
- On the realistic validation of photometric redshifts, or why Teddy will never be Happy
- Instrumental response model and detrending for the Dark Energy Camera
- The Observed Evolution of the Stellar Mass - Halo Mass Relation for Brightest Central Galaxies
- Producing a BOSS-CMASS sample with DES imaging
- The not so simple globular cluster Cen. I. Spatial distribution of the multiple stellar populations
- First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Effects of Chromatic Corrections to Supernova Photometry on Measurements of Cosmological Parameters
- Photometric characterization of the Dark Energy Camera
- Monitoring Telluric Absorption with CAMAL
- Dark Energy Survey: Galaxy Sample for the Baryonic Acoustic Oscillation Measurement from the Final Dataset
- Euclid preparation. XXXI. The effect of the variations in photometric passbands on photometric-redshift accuracy
- Dark Energy Survey Year 1 Results: Photometric Data Set for Cosmology
- Dark Energy Survey Year 3 Results: Galaxy Sample for BAO Measurement
- Measurement of telescope transmission using a Collimated Beam Projector