Photometric recalibration of VPHAS+ u-band photometry with the stellar colour regression method and Gaia DR3

Author:

Chen Bing-Qiu1ORCID,Yuan Hai-Bo23,Huang Bo-Wen23

Affiliation:

1. South-Western Institute for Astronomy Research, Yunnan University , Kunming 650500 , P. R. China

2. Institute for Frontiers in Astronomy and Astrophysics, Beijing Normal University , Beijing 102206 , P. R. China

3. Department of Astronomy, Beijing Normal University , Beijing 100875 , P. R. China

Abstract

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 disc presents significant challenges. In this study, we introduce a comprehensive recalibration of u-band photometric magnitudes of the VPHAS+ Data Release 4, employing the stellar colour regression technique. By leveraging the expansive set of XP spectra and GBP photometry from Gaia Data Release 3, 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 corrections for these observational visits, CCD chips, and pixel bins-dependent magnitude offsets. These corrections have led to a reduction in the standard deviation between the observed magnitudes and the model magnitudes from 0.088 to 0.065 mag, ensuring that the calibrated magnitudes are independent of stellar magnitude, colour, and extinction. The enhanced precision of these magnitudes substantially improves the quality of astrophysical research and offers substantial potential for furthering our understanding of stellar astrophysics.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Yunnan Province

Publisher

Oxford University Press (OUP)

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