Decomposition of Spectra from Redshift Distortion Maps
Abstract
We develop an optimized technique to extract density--density and velocity--velocity spectra out of observed spectra in redshift space. The measured spectra of the distribution of halos from redshift distorted mock map are binned into 2--dimensional coordinates in Fourier space so as to be decomposed into both spectra using angular projection dependence. With the threshold limit introduced to minimize nonlinear suppression, the decomposed velocity--velocity spectra are reasonably well measured up to scale k=0.07 h/Mpc, and the measured variances using our method are consistent with errors predicted from a Fisher matrix analysis. The detectability is extendable to k\sim 0.1 h/Mpc with more conservative bounds at the cost of weakened constraint.
Cite
@article{arxiv.1003.2420,
title = {Decomposition of Spectra from Redshift Distortion Maps},
author = {Yong-Seon Song and Issha Kayo},
journal= {arXiv preprint arXiv:1003.2420},
year = {2015}
}
Comments
5 pages and 4 figures, submitted to MNRAS