Small-scale anisotropies of the microwave background in model universes dominated by dark matter

Statistics – Computation

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

18

Cosmology, Dark Matter, Mass Distribution, Matter (Physics), Relic Radiation, Universe, Anisotropy, Computational Astrophysics, Gravitinos

Scientific paper

The authors give the results of detailed computations of small-scale fluctuations in the MW background for flat models of the universe, dominated either by massive 'neutrinos' (m = 32 eV) or by low-mass 'photino' or 'gravitinos' (m = 880 eV). They consider different values for the spectral index of primeval fluctuations and normalize the results to the mean mass variance δM/M. The authors find that a 'neutrino' dominated model can be in conflict with MW observational limits, if δM/M, on the smallest scales, is 1 at a redshift znl > 3.4. The 'photino' or 'gravitino' dominated cases are in conflict with observations only if znl > 10 (for spectral index n = -1) or for even higher znl if n > -1. In this case the dependence on n is much stronger than in the neutrino case.

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

Small-scale anisotropies of the microwave background in model universes dominated by dark matter 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 Small-scale anisotropies of the microwave background in model universes dominated by dark matter, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Small-scale anisotropies of the microwave background in model universes dominated by dark matter will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1750844

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