Modelling the post-reionization neutral Hydrogen (\HI) bias
  Observations of the neutral Hydrogen (\HI ) 21-cm signal hold the potential
of allowing us to map out the cosmological large scale structures (LSS) across
the entire post-reionization era ($z \leq 6$). Several experiments are planned
to map the LSS over a large range of redshifts and angular scales, many of
these targeting the Baryon Acoustic Oscillations. It is important to model the
\HI distribution in order to correctly predict the expected signal, and more so
to correctly interpret the results after the signal is detected. In this paper
we have carried out semi-numerical simulations to model the \HI distribution
and study the \HI power spectrum $P_{\HI}(k,z)$ across the redshift range $1
\le z \le 6$. We have modelled the \HI bias as a complex quantity
$\tilde{b}(k,z)$ whose modulus squared $b^2(k,z)$ relates $P_{\HI}(k,z)$ to the
matter power spectrum $P(k,z)$, and whose real part $b_r(k,z)$ quantifies the
cross-correlation between the \HI and the matter distribution. We study the $z$
and $k$ dependence of the bias, and present polynomial fits which can be used
to predict the bias across $0 \le z \le6$ and $0.01 \le k \le 10 \, {\rm
Mpc}^{-1}$. We also present results for the stochasticity $r=b_r/b$ which is
important for cross-correlation studies.
