The Distribution of Mass Surface Densities in a High-Mass Protocluster
Wanggi Lim, Jonathan C. Tan, Jouni Kainulainen, Bo Ma, Michael J., Butler

TL;DR
This study analyzes the probability distribution of mass surface densities in a massive infrared dark cloud to understand the physical processes influencing cloud structure and star formation, revealing a mostly log-normal distribution with hints of a high-density tail.
Contribution
It provides the first detailed analysis of the mass surface density PDF in a high-mass protocluster using combined extinction and dust emission data, highlighting the distribution shape and potential high-density tail.
Findings
PDF is predominantly log-normal with a peak at 0.021 g/cm².
Tentative evidence for a high-density power-law tail containing 3-8% of the mass.
The distribution shape offers insights into turbulence, gravity, and magnetic fields in the cloud.
Abstract
We study the probability distribution function (PDF) of mass surface densities, , of infrared dark cloud (IRDC) G028.37+00.07 and its surrounding giant molecular cloud. This PDF constrains the physical processes, such as turbulence, magnetic fields and self-gravity, that are expected to be controlling cloud structure and star formation activity. The chosen IRDC is of particular interest since it has almost 100,000 solar masses within a radius of 8 parsecs, making it one of the most massive, dense molecular structures known and is thus a potential site for the formation of a "super star cluster." We study in two ways. First, we use a combination of NIR and MIR extinction maps that are able to probe the bulk of the cloud structure up to ( mag). Second, we study the FIR and sub-mm dust continuum emission from the cloud…
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