Statistics – Computation
Scientific paper
Apr 1990
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1990mnras.243..543n&link_type=abstract
Monthly Notices of the Royal Astronomical Society (ISSN 0035-8711), vol. 243, April 15, 1990, p. 543-552. Research supported by
Statistics
Computation
10
Interstellar Matter, Molecular Clouds, Molecular Collisions, Monte Carlo Method, Oort Cloud, Computational Astrophysics, Energy Dissipation, Kinetic Energy
Scientific paper
Direct simulations were made of coagulation models for interstellar clouds, and time averages of two-point correlation functions, velocity spectra, and mass spectra were calculated. The simulations are different from previous direct simulations in that 'collisional fragmentation' processes are taken into account through simple models. The resultant correlation functions exhibit spatial correlations on small scales, and even fractal distributions of clouds for some artificial models. Hence, the distributions of clouds are no longer homogeneous (Poisson), but there are aggregations of clouds in some places while other places are void of them. Collisional fragmentation makes the pair clouds close to each other, and repetition of this process produces small-scale correlations. The velocity spectrum becomes much flatter than that obtained by Monte Carlo simulation for the same model. It is possible that the inhomogeneous distribution of clouds makes the time-scale for the dissipation of kinetic energy smaller, and it leads to the disagreement. In contrast to this, the mass spectrum seems to be not affected by the inhomogeneous distribution of clouds for at least one of the models. These new results may have significant implications for the dynamical structure and evolution of galaxies through various aspects of the dynamics of interstellar clouds and stars.
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