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While dark matter (DM) is the key ingredient for a successful theory ofstructure formation, its microscopic nature remains elusive. Indirect detectionmay provide a powerful test for some strongly motivated DM particle models.Nevertheless, astrophysical backgrounds are usually expected with amplitudesand spectral features similar to the chased signals. On galactic scales, thesebackgrounds arise from interactions of cosmic rays (CRs) with the interstellargas, both being difficult to infer and model in detail from observations.Moreover, the associated predictions unavoidably come with theoretical errors,which are known to be significant. We show that a trustworthy guide for suchchallenging searches can be obtained by exploiting the full informationcontained in cosmological simulations of galaxies, which now include baryonicgas dynamics and star formation. We further insert CR production and transportfrom the identified supernova events and fully calculate the CR distribution ina simulated galaxy. We focus on diffuse gamma-rays, and self-consistentlycalculate both the astrophysical galactic emission and the dark matter signal.We notably show that adiabatic contraction does not necessarily induce largesignal-to-noise ratios in galactic centers, and could anyway be traced from theastrophysical background itself. We finally discuss how all this may be used asa generic diagnostic tool for galaxy formation.

Indirect dark matter searches: towards a consistent top-bottom approach for studying the gamma-ray signals and associated backgrounds