On the Density Distribution in Star-forming Interstellar Clouds

We use deep adaptive mesh refinement simulations of isothermal self-gravitating supersonic turbulence to study the imprints of gravity on the mass density distribution in molecular clouds. The simulations show that the density distribution in self-gravitating clouds develops an extended power-law ta...

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Veröffentlicht in:Astrophysical journal. Letters 2011-01, Vol.727 (1), p.L20-jQuery1323918598348='48'
Hauptverfasser: Kritsuk, Alexei G, Norman, Michael L, Wagner, Rick
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Sprache:eng
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Zusammenfassung:We use deep adaptive mesh refinement simulations of isothermal self-gravitating supersonic turbulence to study the imprints of gravity on the mass density distribution in molecular clouds. The simulations show that the density distribution in self-gravitating clouds develops an extended power-law tail at high densities on top of the usual lognormal. We associate the origin of the tail with self-similar collapse solutions and predict the power index values in the range from --7/4 to --3/2 that agree with both simulations and observations of star-forming molecular clouds.
ISSN:2041-8205
2041-8213
DOI:10.1088/2041-8205/727/1/L20