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The Gaia mission will provide precise astrometry for an unprecedented numberof white dwarfs (WDs), encoding information on stellar evolution, Type Iasupernovae progenitor scenarios, and the star formation and dynamical historyof the Milky Way. With such a large data set, it is possible to inferproperties of the WD population using only astrometric and photometricinformation. We demonstrate a framework to accomplish this using a mock dataset with SDSS ugriz photometry and Gaia astrometric information. Our techniqueutilises a Bayesian hierarchical model for inferring properties of a WDpopulation while also taking into account all observational errors ofindividual objects, as well as selection and incompleteness effects. Wedemonstrate that photometry alone can constrain the WD population'sdistributions of temperature, surface gravity and phenomenological type, andthat astrometric information significantly improves determination of the WDsurface gravity distribution. We also discuss the possibility of identifyingunresolved binary WDs using only photometric and astrometric information.

Inferring properties of the local white dwarf population in astrometric and photometric surveys