We present a new fully data-driven algorithm that uses photometric data from the Canada–France Imaging Survey (CFIS; u ), Pan-STARRS 1 (PS1; griz ), and Gaia ( G ) to discriminate between dwarf and giant stars and to estimate their distances and metallicities. The algorithm is trained and tested using the Sloan Digital Sky Survey (SDSS)/SEGUE spectroscopic data set and Gaia photometric/astrometric data set. At [Fe/H]
CITATION STYLE
Thomas, G. F., Annau, N., McConnachie, A., Fabbro, S., Teimoorinia, H., Côté, P., … Sánchez-Janssen, R. (2019). Dwarfs or Giants? Stellar Metallicities and Distances from ugrizG Multiband Photometry. The Astrophysical Journal, 886(1), 10. https://doi.org/10.3847/1538-4357/ab4a77
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