SHAM through the lens of a hydrodynamical simulation
  We use the IllustrisTNG100 hydrodynamical simulation to study the dependence
of the galaxy two-point correlation function on a broad range of secondary
subhalo and galactic properties. We construct galaxy mock catalogues adopting a
standard sub-halo abundance matching scheme coupled with a secondary assignment
between galaxy colour or specific star formation rate and the following subhalo
properties: starvation redshift z$_{\rm starve}$, concentration at infall,
overdensity $\delta_R^{\rm env}$, tidal anisotropy $\alpha_R$, and tidal
overdensity $\delta_R$. The last two quantities allow us to fully characterise
the tidal field of our subhaloes, acting as mediators between their internal
and large-scale properties. The resulting mock catalogues overall return good
agreement with the IllustrisTNG100 measurements. The accuracy of each model
strongly depends on the correlation between the secondary galaxy and subhalo
properties employed. Among all the subhalo proxies tested, we find that z$_{\rm
starve}$ and $c_{\rm infall}$ are the ones that best trace the large-scale
structure, producing robust clustering predictions for different samples of
red/blue and quenched/star-forming galaxies.
