  Stellar and gas kinematics of galaxies are a sensitive probe of the dark
matter distribution in the halo. The popular fuzzy dark matter models predict
the peculiar shape of density distribution in galaxies: specific dense core
with sharp transition to the halo. Moreover, fuzzy dark matter predicts scaling
relations between the dark matter particle mass and density parameters. In this
work, we use a Bayesian framework and several dark matter halo models to
analyse the stellar kinematics of galaxies using the Spitzer Photometry and
Accurate Rotation Curves database. We then employ a Bayesian model comparison
to select the best halo density model. We find that more than half of the
galaxies prefer the fuzzy dark model against standard dark matter profiles
(NFW, Burkert, and cored NFW). While this seems like a success for fuzzy dark
matter, we also find that there is no single value for the particle mass that
provides a good fit for all galaxies.
