Clump mass function at an early stage of molecular cloud evolution: I. A statistical approach

Astronomy and Astrophysics – Astrophysics – Solar and Stellar Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Accepted in MNRAS; 12 pages, 6 figures

Scientific paper

We derive the mass function of condensations (clumps) which were formed through a turbulent cascade over a range of spatial scales $L\le20$ pc during early, predominantly turbulent evolution of a molecular cloud. The approach rests upon the assumption of a statistical clump mass-density relationship $n\propto m^x$ with a scale dependence of the exponent $x$ obtained from equipartition relations between various forms of energy of clumps. The derived clump mass function (ClMF) could be represented by series of 2 or 3 power laws, depending on the chosen equipartition relation, the velocity scaling index and the type of turbulent forcing. The high-mass ClMF exhibits an average slope $\Gamma\simeq-1$, typical for fractal clouds, whereas its intermediate-mass part is shallower or flattened, in agreement with some observational studies.

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

Clump mass function at an early stage of molecular cloud evolution: I. A statistical approach 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 Clump mass function at an early stage of molecular cloud evolution: I. A statistical approach, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Clump mass function at an early stage of molecular cloud evolution: I. A statistical approach will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-30868

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