Matter Distribution for Power Spectra with Broken Scale Invariance

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

13 pages, uuencoded tar-compressed file, one additional figure available on request, preprint Fermilab-Pub- 94/262-A

Scientific paper

10.1086/176233

To test the primordial power spectra predicted by a double inflationary model with a break of amplitude $\Delta=3$ at a scale of $2\pi/k\approx 10 \hm$ and CDM as dominant matter content, we perform PM simulations with 128$^3$ particles on a 256$^3$ grid. The broken scale invariance of the power spectra explains the extra power observed in the large-scale matter distribution. COBE-normalized spectra and a linear biasing with $b\approx 2$ are shown to reproduce the reconstructed power spectra from the CfA catalog. Identifying galactic halos with overdensity of approximately two times the cell variance, we can fit the angular correlation function using both the Limber equation and creating a APM-like angular projection with the observed luminosity function. Finally, the higher order moments of the galaxy distribution are shown to fit reasonably well the observed values.

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

Matter Distribution for Power Spectra with Broken Scale Invariance 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 Matter Distribution for Power Spectra with Broken Scale Invariance, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Matter Distribution for Power Spectra with Broken Scale Invariance will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-352706

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