Recalibration of SDSS photometric zero-points based on the InfraRed Flux Method temperature scale
Zenghua Zhou, Luca Casagrande, Heran Xiong, Yanjun Guo, Jiajia Li, Zhanwen Han, Xuefei Chen
astro-ph.IM, astro-ph.GA, astro-ph.SR
Submitted: 2026-06-10
Comments: 10 pages, 10 figures, 3 tables. Accepted for publication in MNRAS
License: http://creativecommons.org/publicdomain/zero/1.0/
The gist: Accurate photometric zero-points are essential for translating observed magnitudes into physical fluxes, from comparing with models to ensuring consistency across surveys.
Terminology
Abstract
Accurate photometric zero-points are essential for translating observed magnitudes into physical fluxes, from comparing with models to ensuring consistency across surveys. We determine the zero-points needed to place the Sloan Digital Sky Survey (SDSS) ugriz system on its nominal AB definition, by exploiting the sensitivity of the Infrared Flux Method (IRFM) to broadband flux calibration. Using benchmark effective temperatures for over 6,000 FGK-type stars, we invert the method to identify the zero-point corrections required for SDSS photometry to reproduce the adopted temperature scale. The r band is found to be very well standardized, while the i and z bands show offsets of a few hundredths of a magnitude, consistent with previous studies. We also find a small offset in the g band. The largest discrepancy occurs in the u band, where the derived offset depends strongly on the adopted filter transmission curves, in particular whether one uses the original definition commonly adopted in the literature or the updated measurements that account for the presence of a red leak. This effect introduces a colour-dependent zero-point offset that becomes apparent when using a sample of late-type stars. Independent comparisons with CALSPEC spectrophotometric standards and Gaia XP spectra broadly support the offsets derived from the IRFM analysis. Our results provide a revised set of SDSS zero-points anchored to the IRFM temperature scale and demonstrate that large stellar samples can be used to constrain photometric calibration. The methodology presented here offers a complementary approach to traditional spectrophotometric calibration and may prove useful for future large-scale surveys.
Sources
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