Power spectrum of the maxBCG cluster sample: new evidence for the acoustic features

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages, submitted to MNRAS

Scientific paper

We use the direct Fourier method to calculate the redshift-space power spectrum of the maxBCG cluster catalog (Koester et al. 2007) -- currently by far the largest existing galaxy cluster sample. The total number of clusters used in our analysis is 12,616. After accounting for the radial smearing effect caused by photometric redshift errors and also introducing a simple treatment for the nonlinear effects, we show that currently favored low matter density ``concordance'' LambdaCDM cosmology provides a very good fit to the estimated power. Thanks to the large volume (~ 0.4 h^{-3} Gpc^3), high clustering amplitude (linear effective bias parameter b_{eff} ~ 3x(0.85/sigma_8)), and sufficiently high sampling density (~ 3x10^{-5} h^{3} Mpc^{-3}) the recovered power spectrum has high enough signal to noise to allow us to find weak evidence (~ 2sigma CL) for the acoustic features. These results are encouraging in light of the several proposed large cluster surveys. In case we use the photometric redshift errors as suggested in Koester et al. (2007) we are left with the excess large-scale power which has previously been noticed by several other authors.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Power spectrum of the maxBCG cluster sample: new evidence for the acoustic features does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Power spectrum of the maxBCG cluster sample: new evidence for the acoustic features, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Power spectrum of the maxBCG cluster sample: new evidence for the acoustic features will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-458116

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.