Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Lagrangian-space Gaussian ansatz for the matter redshift-space power
  spectrum and correlation function   We study the predictions for the matter redshift-space power spectrum and
correlation function of a Lagrangian-space Gaussian ansatz introduced in a
previous work. This model is a natural extension of the Zeldovich
approximation, where the displacement and velocity power spectra are determined
by the equations of motion, instead of being set equal to the linear power
spectrum. It does not contain any free parameter. As for the real-space
statistics, we find that this Lagrangian-space approach is much more efficient
for the correlation functions than for the power spectra. The damping of the
BAO oscillations is well recovered but there is a large smooth drift from the
simulations in the power spectra. The multipoles of the correlation functions
are well recovered on BAO scales, with an accuracy of $2\%$ for $\xi^s_0$ down
to $10 h^{-1}$ Mpc, and of $3\%$ for $\xi^s_2$ down to $26 h^{-1}$ Mpc, at $z
\geq 0.35$.

24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
23
The categories of this paper are: solv-int
15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
17
The categories of this paper are: q-fin
25
The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
26
The categories of this paper are: bayes-an