The three dimensional power spectrum of dark and luminous matter from the VIRMOS-DESCART cosmic shear survey

Details The three dimensional power spectrum of dark and luminous matter from the VIRMOS-DESCART cosmic shear survey The three dimensional power spectrum of dark and luminous matter from the VIRMOS-DESCART cosmic shear survey

2003-04-29

arxiv.org/abs/astro-ph/0304512v4

Mon.Not.Roy.Astron.Soc. 346 (2003) 994

Astronomy and Astrophysics

Astrophysics

17 pages, 19 figures, submitted to mnras

Scientific paper

10.1111/j.1365-2966.2003.07152.x

We present the first optimal power spectrum estimation and three dimensional deprojections for the dark and luminous matter and their cross correlations. The results are obtained using a new optimal fast estimator (Pen 2003) deprojected using minimum variance and SVD techniques. We show the resulting 3-D power spectra for dark matter and galaxies, and their covariance for the VIRMOS-DESCART weak lensing shear and galaxy data. The survey is most sensitive to nonlinear scales k_NL ~ 1 h Mpc^-1. On these scales, our 3-D power spectrum of dark matter is in good agreement with the RCS 3-D power spectrum found by (Hoekstra et al 2002). Our galaxy power is similar to that found by the 2MASS survey, and larger than that of SDSS, APM and RCS, consistent with the expected difference in galaxy population. We find an average bias b=1.24+/-0.18 for the I selected galaxies, and a cross correlation coefficient r=0.75+/-0.23. Together with the power spectra, these results optimally encode the entire two point information about dark matter and galaxies, including galaxy-galaxy lensing. We address some of the implications regarding galaxy halos and mass-to-light ratios. The best fit ``halo'' parameter h=r/b=0.57+/-0.16, suggesting that dynamical masses estimated using galaxies systematically underestimate total mass. Ongoing surveys, such as the Canada-France-Hawaii-Telescope-Legacy survey will significantly improve on the dynamic range, and future photometric redshift catalogs will allow tomography along the same principles.

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