### [1003.4282] Modelling redshift space distortions in hierarc

Posted:

**March 25 2010**This interesting work looks at redshift space distortions on large scales, using results from N-body simulations. The central result is an improved prescription for modelling the influence of nonlinearities. It's been anticipated for a while that as more precise measures of the growth rate are sought after, we'd have to improve on the standard linear form

[tex]P(k,\mu) = (1+\beta \mu^2)^2 P(k)[/tex]

though most theorists have been reluctant to leave this behind as it's nice and easy to work with.

The prescription here is based on the fitting function presented in eq (15). Given the nonlinear matter power spectrum, this generates the velocity-velocity and velocity-density power spectra at [tex]z=0[/tex] , which may then be scaled to higher redshifts using (17) and (18). Finally, the model by Scoccimarro (10) may be used to generate the full [tex]P(k,\mu)[/tex].

Just a few questions:

- When applying (15), is "z=0" effectively meaning "[tex]\sigma_8 = 0.8[/tex], b=1"? In other words, are the alpha coefficients not dependent on [tex]\sigma_8[/tex] or the bias? Though if so, presumably a rescaling argument similar to (18) could be applied.

- Could we reach the point where these departures from linearity provide extra information, and improve constraints on the growth of structure?

- Looking at (15), don't some of the alpha coefficients require dimensions?

My only worry is Figure 4, which looks at how the estimated power spectrum is sensitive to the chosen gridding of the density/velocity fields. At first glance the lines seem to converge for increasing N, however the rate of increase in N is also diminishing! The fractional increments between the four lines are 100%, 37%, and 4%. So it looks like the line could still move a reasonable distance (~10%?) from the N=350 line, before we close in on the true N->\infty value.

[tex]P(k,\mu) = (1+\beta \mu^2)^2 P(k)[/tex]

though most theorists have been reluctant to leave this behind as it's nice and easy to work with.

The prescription here is based on the fitting function presented in eq (15). Given the nonlinear matter power spectrum, this generates the velocity-velocity and velocity-density power spectra at [tex]z=0[/tex] , which may then be scaled to higher redshifts using (17) and (18). Finally, the model by Scoccimarro (10) may be used to generate the full [tex]P(k,\mu)[/tex].

Just a few questions:

- When applying (15), is "z=0" effectively meaning "[tex]\sigma_8 = 0.8[/tex], b=1"? In other words, are the alpha coefficients not dependent on [tex]\sigma_8[/tex] or the bias? Though if so, presumably a rescaling argument similar to (18) could be applied.

- Could we reach the point where these departures from linearity provide extra information, and improve constraints on the growth of structure?

- Looking at (15), don't some of the alpha coefficients require dimensions?

My only worry is Figure 4, which looks at how the estimated power spectrum is sensitive to the chosen gridding of the density/velocity fields. At first glance the lines seem to converge for increasing N, however the rate of increase in N is also diminishing! The fractional increments between the four lines are 100%, 37%, and 4%. So it looks like the line could still move a reasonable distance (~10%?) from the N=350 line, before we close in on the true N->\infty value.