Precision Prediction of the Log Power Spectrum
  At translinear scales, the log power spectrum captures significantly more
cosmological information than the standard power spectrum. At high wavenumbers
$k$, the Fisher information in the standard power spectrum $P(k)$ fails to
increase in proportion to $k$ in part due to correlations between large- and
small-scale modes. As a result, $P(k)$ suffers from an information plateau on
these translinear scales, so that analysis with the standard power spectrum
cannot access the information contained in these small-scale modes. The log
power spectrum $P_A(k)$, on the other hand, captures the majority of this
otherwise lost information. Until now there has been no means of predicting the
amplitude of the log power spectrum apart from cataloging the results of
simulations. We here present a cosmology-independent prescription for the log
power spectrum; this prescription displays accuracy comparable to that of Smith
et al. (2003), over a range of redshifts and smoothing scales, and for
wavenumbers up to $1.5h$ Mpc$^{-1}$.
