The mass function of galaxies based on correlated velocity structure

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

4

Galactic Evolution, Galactic Mass, Galactic Structure, Gravitational Effects, Molecular Clouds, Mass Distribution, Velocity Distribution

Scientific paper

This paper introduces a new approach to the calculation of the galactic mass multiplicity function based on the probability of correlated velocity structures existing on a given spatial scale. The correlations are supposed to have developed during a protogalactic era of virialized structures, before which time the density evolution had already become nonlinear. The density index is determined empirically, although it may eventually be related to a spectrum of initial fluctuations. The subsequent nonlinear dynamics is dealt with explicitly using a continuum model with tidal interactions simulated by an effective shear viscosity. The predictions for the (unnormalized) mass function and for the large-scale velocity correlations between galaxies are deduced relatively directly from the 'cosmic von Karman-Howarth' equation implicit in the basic model. The predictions are in good agreement with existing data.

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 mass function of galaxies based on correlated velocity structure 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 mass function of galaxies based on correlated velocity structure, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The mass function of galaxies based on correlated velocity structure will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1095605

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