A DWT Power Spectrum Analysis of PSCz Galaxies

Xiao-Hu Yang, Long-Long Feng, Yao-Quan Chu



The power spectrum estimator based on the Discrete Wavelet Transformation (DWT) is applied to detect the clustering power in the IRAS Point Source Catalog Redshift Survey (PSCz). Comparison with mock samples extracted from N-body simulation shows that the DWT power spectrum estimator could provide a robust measurement of banded fluctuation power over a range of wavenumbers 0.1 ~ 2.0 h Mpc−1. We have fitted three typical CDM models (SCDM, τ CDM and ΛCDM) using the Peacock-Dodds formula including non-linear evolution and redshift distortion. We find that, our results are in good agreement with other statistical measurements of the PSCz.


large-scale structure of Universe --- Methods: N-body simulations

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Print ISSN: 1674-4527

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