Application of Data Compression Methods to the Redshift-space distortions of the PSCz galaxy catalogue

Abstract

We apply a spherical harmonic analysis to the Point Source Redshift Survey (PSCz), to compute the real-space galaxy power spectrum and the degree of redshift distortion caused by peculiar velocities. We employ new parameter eigenvector and hierarchical data compression techniques, allowing a much larger number of harmonic modes to be included, and correspondingly smaller error bars. Using 4644 harmonic modes, compressed to 2278, we find that the IRAS redshift-space distortion parameter is $\beta =0.39\pm 0.12$ and the amplitude of galaxy clustering on a scale of $k=0.1 \Mpch$ is ${\Delta }_{\mathrm{gal}}(0.1)=0.42\pm 0.02$. Combining these we find the amplitude of mass perturbations is ${\Delta }_m(0.1)=(0.16\pm 0.04){\Omega }_m^{-0.6}$. A preliminary model fitting analysis combining the PSCz amplitudes with the CMB and abundance of clusters yields the cosmological matter density parameter ${\Omega }_m=0.16\pm 0.03$, the amplitude of primordial perturbations $Q=(8.4\pm 3.8)\times 10^{-5}$, and the IRAS bias parameter $b=0.84\pm 0.28$.

6 pages, Latex, Submitted to MNRASLett