4.5 Article

Understanding star formation in molecular clouds I. Effects of line-of-sight contamination on the column density structure

Journal

ASTRONOMY & ASTROPHYSICS
Volume 575, Issue -, Pages -

Publisher

EDP SCIENCES S A
DOI: 10.1051/0004-6361/201423569

Keywords

dust, extinction; ISM: clouds; submillimeter: ISM; methods: data analysis; ISM: general

Funding

  1. project STARFICH [ANR-11-BS56-010]
  2. Deutsche Forschungsgemeinschaft, priority program 1573 (Physics of the Interstellar Medium)
  3. European Research Council under the European Communities [339177]
  4. Australian Research Council [DP130102078, DP150104329]
  5. ERC [247078, 291294]
  6. Deutsche Forschungsgemeinschaft, DFG [OS 177/2-1]
  7. [SFB 881]
  8. European Research Council (ERC) [291294] Funding Source: European Research Council (ERC)

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Column-density maps of molecular clouds are one of the most important observables in the context of molecular cloud- and star-formation (SF) studies. With the Herschel satellite it is now possible to precisely determine the column density from dust emission, which is the best tracer of the bulk of material in molecular clouds. However, line-of-sight (LOS) contamination from fore- or background clouds can lead to overestimating the dust emission of molecular clouds, in particular for distant clouds. This implies values that are too high for column density and mass, which can potentially lead to an incorrect physical interpretation of the column density probability distribution function (PDF). In this paper, we use observations and simulations to demonstrate how LOS contamination affects the PDF. We apply a first-order approximation (removing a constant level) to the molecular clouds of Auriga and Maddalena (low-mass star-forming), and Carina and NGC 3603 (both high-mass SF regions). In perfect agreement with the simulations, we find that the PDFs become broader, the peak shifts to lower column densities, and the power-law tail of the PDF for higher column densities flattens after correction. All corrected PDEs have a log-normal part for low column densities with a peak at A(v) similar to 2 mag, a deviation point (DP) from the lognormal at A(v)(DP) similar to 4-5 mag, and a power-law tail for higher column densities. Assuming an equivalent spherical density distribution p proportional to r(-alpha) the slopes of the power-law tails correspond to alpha(PDF) = 1.8, 1.75, and 2.5 for Auriea. Carina, and NGC 3603. These numbers agree within the uncertainties with the values of alpha approximate to 1.5, 1.8, and 2.5 determined from the slope gamma (with alpha = 1 - gamma) obtained from the radial column density profiles (N proportional to r(gamma)). While alpha similar to 1.5-2 is consistent with a structure dominated by collapse (local free-fall collapse of individual cores and clumps and global collapse), the higher value of alpha > 2 for NGC 3603 requires a physical process that leads to additional compression (e.g., expanding ionization fronts). From the small sample of our study. We find that clouds forming only low-mass stars and those also forming high-mass stars have slightly different values for their average column density (1.8 x 10(21) cm(-2) vs. 3.0 x 10(21) cm(-2)) and they display differences in the overall column density structure. Massive clouds assemble more gas in smaller cloud volumes than low-mass SF ones. However, for both cloud types, the transition of the PDF from lognormal shape into power-law tail is found at the same column density (at A(v) similar to 4-5 mag). Low-mass and high-mass SF clouds then have the same low column density distribution, most likely dominated by supersonic turbulence. At higher column densities, collapse and external pressure can form the power-law tail. The relative importance of the two processes can vary between clouds and thus lead to the observed differences in PDF and column density structure.

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