The Reconstructed Power Spectrum in the Zeldovich Approximation
  Density-reconstruction sharpens the baryon acoustic oscillations signal by
undoing some of the smoothing incurred by nonlinear structure formation. In
this paper we present an analytical model for reconstruction based on the
Zeldovich approximation, which for the first time includes a complete set of
counterterms and bias terms up to quadratic order and can fit real and
redshift-space data pre- and post-reconstruction data in both Fourier and
configuration space over a wide range of scales. We compare our model to n-body
data at $z = 0$ from the {\tt DarkSky} simulation \cite{skillman14}, finding
sub-percent agreement in both real space and in the redshift-space power
spectrum monopole out to $k = 0.4\ h$ Mpc$^{-1}$, and out to $k = 0.2\ h$
Mpc$^{-1}$ in the quadrupole, with comparable agreement in configuration space.
We compare our model with several popular existing alternatives, updating
existing theoretical results for exponential damping in wiggle/no-wiggle splits
of the BAO signal and discuss the usually-ignored effect of higher bias
contributions on the reconstructed signal. In the appendices, we re-derive the
former within our formalism, present exploratory results on higher-order
corrections due to nonlinearities inherent to reconstruction, and present
numerical techniques with which to calculate the redshift-space power spectrum
of biased tracers within the Zeldovich approximation.
