Photometric Re-calibration of VPHAS+ $u$-band Photometry with the Stellar Colour Regression Method and Gaia DR3
Bing-Qiu Chen, Hai-Bo Yuan, Bo-Wen Huang

TL;DR
This paper presents a new, precise re-calibration of VPHAS+ u-band photometry using Gaia DR3 data and the Stellar Colour Regression method, significantly reducing systematic offsets and improving stellar parameter measurements.
Contribution
The study introduces a comprehensive re-calibration approach for u-band photometry employing Gaia DR3 data and the SCR technique, addressing systematic offsets and enhancing photometric accuracy.
Findings
Reduced magnitude offset standard deviation from 0.088 to 0.065 mag.
Identified systematic offsets across visits, CCDs, and pixels and corrected them.
Calibrated magnitudes are now independent of stellar magnitude, colour, and extinction.
Abstract
The u band magnitude is vital for determining stellar parameters and investigating specific astronomical objects. However, flux calibration in the u band for stars in the Galactic disk presents significant challenges. In this study, we introduce a comprehensive re-calibration of -band photometric magnitudes of the VPHAS+ Data Release 4 (DR4), employing the Stellar Colour Regression (SCR) technique. By leveraging the expansive set of XP spectra and photometry from Gaia Data Release 3 (DR3), as well as the individual stellar extinction values provided by the literature, we have obtained precise model magnitudes of nearly 3 million stars. Our analysis identifies systematic magnitude offsets that exhibit a standard deviation of 0.063 mag across different observational visits, 0.022 mag between various CCDs, and 0.009 mag within pixel bins. We have implemented precise…
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Taxonomy
TopicsAtmospheric Ozone and Climate · Calibration and Measurement Techniques
