GPS Measurements of Precipitable Water Vapor Can Improve Survey Calibration: A Demonstration from KPNO and the Mayall z-band Legacy Survey
W. M. Wood-Vasey, Daniel Perrefort, Ashley Baker

TL;DR
Dual-band GPS measurements of precipitable water vapor at KPNO can significantly enhance the calibration accuracy of photometric surveys like MzLS by predicting and correcting for PWV-induced variations in image sensitivity.
Contribution
This study demonstrates that GPS-based PWV measurements can improve survey calibration accuracy and provides a practical implementation and validation for the Mayall z-band Legacy Survey.
Findings
PWV measurements correlate strongly with per-image brightness variations.
Correcting for PWV reduces zero-point variation by approximately 47 mmag.
GPS-based PWV monitoring outperforms star-color differential methods for calibration.
Abstract
We here show that dual-band GPS measurements of precipitable water vapor (PWV) at KPNO predict the overall per-image sensitivity of the Mayall z-band Legacy Survey (MzLS). The per-image variation in the brightness of individual stars is strongly correlated with the measured PWV and the color of the star. We use synthetic stellar spectra and TAPAS transmission models to predict the expected PWV-induced photometric errors and find good agreement with the observations. We also find that PWV absorption can be well-approximated by a linear relationship with PWV_eff and present an update on the traditional treatment in the literature. Within the range of reasonable observing conditions, the MzLS zero point varies with a standard deviation of 127 mmag. This variation is dominated by a gray secular trend with time, consistent with a gradual accumulation of contamination on optical surfaces…
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Taxonomy
TopicsGeophysics and Gravity Measurements · GNSS positioning and interference · Adaptive optics and wavefront sensing
