The Effect of Magnetic Fields and Ambipolar Diffusion on the Column Density Probability Distribution Function in Molecular Clouds
Sayantan Auddy, Shantanu Basu, Takahiro Kudoh

TL;DR
This study uses 3D magnetohydrodynamic simulations to explore how magnetic fields and ambipolar diffusion influence the shape of column density PDFs in molecular clouds, revealing conditions under which they develop power-law tails.
Contribution
It demonstrates that magnetic criticality and turbulence conditions determine whether molecular clouds develop power-law tails in their column density PDFs, highlighting the role of ambipolar diffusion and initial turbulence.
Findings
Supercritical clouds quickly develop a power-law tail with index ~2.
Subcritical clouds also develop a power-law tail but with a steeper index ~4.
Turbulent initial conditions can preserve a lognormal PDF in subcritical clouds for longer.
Abstract
Simulations generally show that non-self-gravitating clouds have a lognormal column density () probability distribution function (PDF), while self-gravitating clouds with active star formation develop a distinct power-law tail at high column density. Although the growth of the power law can be attributed to gravitational contraction leading to the formation of condensed cores, it is often debated if an observed lognormal shape is a direct consequence of supersonic turbulence alone, or even if it is really observed in molecular clouds. In this paper we run three-dimensional magnetohydrodynamic simulations including ambipolar diffusion with different initial conditions to see the effect of strong magnetic fields and nonlinear initial velocity perturbations on the evolution of the column density PDFs. Our simulations show that column density PDFs of clouds with supercritical…
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