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The spatial distribution of Galactic stars with different chemical abundancesencodes information on the processes that drove the formation and evolution ofthe Milky Way. Survey selection functions are indispensable for analysingastronomical catalogues produced by large-scale surveys. The use of theseselection functions in data modelling is more complex when data from differentsurveys are to be modelled simultaneously. We introduce a procedure forconstructing the selection function of a sample of red clump stars that haveparallaxes and elemental abundances from the Gaia mission. We separatelyconstructed the selection function of the APOGEE DR17 red clump stars, whichdepends on very different observables and has a very different spatialcoverage. We combined the two surveys and accounted for their joint selectionfunction to provide strong constraints on the radial and vertical densitydistribution of mono-abundance populations, with Gaia offering a dense coverageof the solar neighbourhood, while APOGEE reaches larger distances near theGalactic plane. We confirm that the radial density profile steepens withincreasing metallicity. The combined sample also indicates ametallicity-dependent flaring of the alpha-poor disc. We provide the code forconstructing the Gaia selection function we used in this study through theGaiaUnlimited Python package.

Uniting Gaia and APOGEE to unveil the cosmic chemistry of the Milky Way disc