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Characterizing the transition from diffuse atomic to dense molecular clouds in the Magellanic clouds with CII, CI, and CO

, , , , , , , , , and . (2017)cite arxiv:1704.00739Comment: 32 pages, 21 figures, Accepted to ApJ.

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Dust and Gas in the Magellanic Clouds from the HERITAGE Herschel Key Project. I. Dust Properties and Insights into the Origin of the Submm Excess Emission, , , , , , , , , and 26 other author(s). (2014)cite arxiv:1406.6066Comment: 20 pages, 9 figures, accepted for publication in the ApJ.Molecular hydrogen emission in the interstellar medium of the Large Magellanic Cloud, , , , , , , , , and 13 other author(s). (2014)cite arxiv:1407.7658Comment: Submitted to MNRAS.A model for the onset of self-gravitation and star formation in molecular gas governed by galactic forces: II. the bottleneck to collapse set by cloud-environment decoupling, , , , , , , , , and 5 other author(s). (2020)cite arxiv:2001.07459Comment: Accepted for publication in ApJ, 32 pages, 11 figures.Characterizing the transition from diffuse atomic to dense molecular clouds in the Magellanic clouds with CII, CI, and CO, , , , , , , , , and . (2017)cite arxiv:1704.00739Comment: 32 pages, 21 figures, Accepted to ApJ.Deep learning denoising by dimension reduction: Application to the ORION-B line cubes, , , , , , , , , and 22 other author(s). (2023)cite arxiv:2307.13009.Short GMC lifetimes: an observational estimate with the PdBI Arcsecond Whirlpool Survey (PAWS), , , , , , , , , and 3 other author(s). (2015)cite arxiv:1504.04528Comment: 16 pages, 8 figures, accepted for publication in ApJ.Clumping and the Interpretation of kpc-Scale Maps of the Interstellar Medium: Smooth HI and Clumpy, Variable H2 Surface Density, , , , , , , , and . (2013)cite arxiv:1304.1586Comment: 6 pages, 2 figures, accepted for publication in ApJ Letters.The Relationship Between Molecular Gas, HI, and Star Formation in the Low-Mass, Low-Metallicity Magellanic Clouds, , , , , , , , , and 7 other author(s). (2015)cite arxiv:1510.08084Comment: 24 pages, 14 figures, submitted for publication in ApJ.A Fully Bayesian Approach For Inferring Physical Properties With Credibility Intervals From Noisy Astronomical Data., , , , , , , , , and 17 other author(s). WHISPERS, page 1-5. IEEE, (2019)