Journal
ASTROPHYSICAL JOURNAL
Volume 731, Issue 1, Pages -Publisher
IOP PUBLISHING LTD
DOI: 10.1088/0004-637X/731/1/59
Keywords
ISM: clouds; ISM: kinematics and dynamics; ISM: magnetic fields; magnetohydrodynamics (MHD)
Categories
Funding
- NSF [AST0808184, AST0908740]
- Division Of Astronomical Sciences
- Direct For Mathematical & Physical Scien [0908740, 0808184] Funding Source: National Science Foundation
- ICREA Funding Source: Custom
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In this work, we present the mass and magnetic distributions found in a recent adaptive mesh refinement magnetohydrodynamic simulation of supersonic, super-Alfvenic, self-gravitating turbulence. Power-law tails are found in both mass density and magnetic field probability density functions, with P(rho) proportional to rho(-1.6) and P(B) proportional to B-2.7. A power-law relationship is also found between magnetic field strength and density, with B proportional to rho(0.5), throughout the collapsing gas. The mass distribution of gravitationally bound cores is shown to be in excellent agreement with recent observation of prestellar cores. The mass-to-flux distribution of cores is also found to be in excellent agreement with recent Zeeman splitting measurements. We also compare the relationship between velocity dispersion and density to the same cores, and find an increasing relationship between the two, with sigma proportional to n(0.25), also in agreement with the observations. We then estimate the potential effects of ambipolar diffusion in our cores and find that due to the weakness of the magnetic field in our simulation, the inclusion of ambipolar diffusion in our simulation will not cause significant alterations of the flow dynamics.
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