# Cloud structure of three Galactic infrared dark star-forming regions   from combining ground and space based bolometric observations

**Authors:** Yuxin Lin, Hauyu Baobab Liu, James E. Dale, Di Li, Gemma Busquet,, Zhi-Yu Zhang, Adam Ginsburg, Roberto Galvan-Madrid, Attila Kovacs, Eric Koch,, Lei Qian, Ke Wang, Steve Longmore, Huei-Ru Chen, and Daniel Walker

arXiv: 1704.06448 · 2017-05-10

## TL;DR

This study combines ground and space-based bolometric observations to analyze the cloud structure of three Galactic infrared dark star-forming regions, revealing complex filamentary structures and proposing an evolutionary framework based on density distribution functions.

## Contribution

The paper introduces an improved method for combining multi-telescope submm images and applies it to IRDCs, deriving detailed temperature and density maps and proposing a new evolutionary classification based on density distribution analysis.

## Key findings

- IRDCs exhibit complex filamentary and clumpy structures.
- Evolutionary stages can be distinguished by N-PDF slope and luminosity-to-mass ratio.
- Proposed four-stage cloud evolution model based on density distribution.

## Abstract

We have modified the iterative procedure introduced by Lin et al. (2016), to systematically combine the submm images taken from ground based (e.g., CSO, JCMT, APEX) and space (e.g., Herschel, Planck) telescopes. We applied the updated procedure to observations of three well studied Infrared Dark Clouds (IRDCs): G11.11-0.12, G14.225-0.506 and G28.34+0.06, and then performed single-component, modified black-body fits to derive $\sim$10$"$ resolution dust temperature and column density maps. The derived column density maps show that these three IRDCs exhibit complex filamentary structures embedding with rich clumps/cores. We compared the column density probability distribution functions (N-PDFs) and two-point correlation (2PT) functions of the column density field between these IRDCs with several OB cluster-forming regions. Based on the observed correlation and measurements, and complementary hydrodynamical simulations for a 10$^{4}$ $\rm M_{\odot}$ molecular cloud, we hypothesize that cloud evolution can be better characterized by the evolution of the (column) density distribution function and the relative power of dense structures as a function of spatial scales, rather than merely based on the presence of star-forming activity. Based on the small analyzed sample, we propose four evolutionary stages, namely: {\it cloud integration, stellar assembly, cloud pre-dispersal and dispersed-cloud.} The initial {\it cloud integration} stage and the final {\it dispersed cloud} stage may be distinguished from the two intermediate stages by a steeper than $-$4 power-law index of the N-PDF. The {\it cloud integration} stage and the subsequent {\it stellar assembly} stage are further distinguished from each other by the larger luminosity-to-mass ratio ($>$40 $\rm L_{\odot}/M_{\odot}$) of the latter.

## Full text

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## Figures

13 figures with captions in the complete paper: https://tomesphere.com/paper/1704.06448/full.md

## References

72 references — full list in the complete paper: https://tomesphere.com/paper/1704.06448/full.md

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Source: https://tomesphere.com/paper/1704.06448