A hierarchical Bayesian model jointly fits white dwarf temperatures, surface gravities, dust extinction, and Hubble zeropoints, yielding a 35-star spectrophotometric standard network with photometric residuals below 4 millimagnitudes.
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DAmodel: Hierarchical Bayesian Modelling of DA White Dwarfs for Spectrophotometric Calibration
A hierarchical Bayesian model jointly fits white dwarf temperatures, surface gravities, dust extinction, and Hubble zeropoints, yielding a 35-star spectrophotometric standard network with photometric residuals below 4 millimagnitudes.