DEMNUni: The clustering of large-scale structures in the presence of
  massive neutrinos
  (abridged) We analyse the clustering features of Large Scale Structures (LSS)
in the presence of massive neutrinos, employing a set of large-volume,
high-resolution cosmological N-body simulations, where neutrinos are treated as
a separate collisionless fluid. The volume of 8$\cGpc$, combined with a
resolution of about $8\times 10^{10}\Ms$ for the cold dark matter (CDM)
component, represents a significant improvement over previous N-body
simulations in massive neutrino cosmologies. We show that most of the nonlinear
evolution is generated exclusively by the CDM component. We find that
accounting only for the nonlinear evolution of the CDM power spectrum allows to
recover the total matter power spectrum with the same accuracy as the massless
case. Indeed, we show that, the most recent version of the \halofit\ formula
calibrated on $\Lambda$CDM simulations can be applied directly to the linear
CDM power spectrum without requiring additional fitting parameters in the
massive case. As a second step, we study the abundance and clustering
properties of CDM halos, confirming that, in massive neutrino cosmologies, the
proper definition of the halo bias should be made with respect to the {\em
cold} rather than the {\em total} matter distribution, as recently shown in the
literature. Here we extend these results to the redshift space, finding that,
when accounting for massive neutrinos, an improper definition of the linear
bias can lead to a systematic error of about 1-$2 \%$ in the determination of
the linear growth rate from anisotropic clustering. This result is quite
important if we consider that future spectroscopic galaxy surveys, as \eg\
Euclid, are expected to measure the linear growth-rate with statistical errors
less than about $3 \%$ at $z\lesssim1$.
