The cosmic Mach number - Direct comparisons of observations and models

Astronomy and Astrophysics – Astronomy

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

32

Astronomical Models, Cosmology, Local Group (Astronomy), Mach Number, Velocity Distribution, Dark Matter, Mathematical Models, Monte Carlo Method, Power Spectra, Red Shift

Scientific paper

A robust method is used to derive the cosmic Mach number, M, from existing peculiar velocity data sets. For the IR Tully-Fisher distances of spirals in the Local Supercluster of Aaronson et al. (1979, 1982), M of 1.03 and a characteristic distance from the Local Group of 1464 km/s are found. For the elliptical galaxy sample of Faber et al. (1987, 1988), M of 0.57, with a characteristic distance of 2572 km/s is found. These results are compared with Monte Carlo simulations of the observational realizations drawn from numerical simulations of the universe based on various scenarios, including the standard cold dark matter (CDM) scenario. The effect of velocity bias on the derived Mach number is found to be small. Only 5 percent of the CDM simulations have M as large as or larger than that derived for the Aaronson et al. sample.

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

The cosmic Mach number - Direct comparisons of observations and models 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 The cosmic Mach number - Direct comparisons of observations and models, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The cosmic Mach number - Direct comparisons of observations and models will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1852349

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