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The next decade will bring massive new data sets from experiments of thedirect detection of weakly interacting massive particle (WIMP) dark matter. Theprimary goal of these experiments is to identify and characterize thedark-matter particle species. However, mapping the data sets to theparticle-physics properties of dark matter is complicated not only by theconsiderable uncertainties in the dark-matter model, but by its poorlyconstrained local distribution function (the "astrophysics" of dark matter). Inthis Letter, I propose a shift in how to do direct-detection data analysis. Ishow that by treating the astrophysical and particle physics uncertainties ofdark matter on equal footing, and by incorporating a combination of data setsinto the analysis, one may recover both the particle physics and astrophysicsof dark matter. Not only does such an approach yield more accurate estimates ofdark-matter properties, but may illuminate how dark matter coevolves withgalaxies.

Getting the astrophysics and particle physics of dark matter out of next-generation direct detection experiments