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Emergence of high-mass stars in complex fiber networks (EMERGE) III. Fiber networks in Orion (2409.01321v1)

Published 2 Sep 2024 in astro-ph.GA

Abstract: The Herschel observations unveiled the complex organisation of the interstellar medium in networks of parsec-scale filaments over the past decade. At the same time, networks of fibers have been recognised describing the gas structures in star-forming regions at sub-parsec scales. We aim to investigate the dense gas organisation prior to the formation of stars in sample of 7 star-forming regions within Orion. This EMERGE Early ALMA Survey includes OMC-1/-2/-3/-4 South, LDN 1641N, NGC 2023, and the Flame Nebula, all surveyed at high spatial resolution (4.5'' or $\sim2000$ au) in N$_2$H$+$ (1$-$0) using ALMA+IRAM-30m observations. We systematically investigated the star-forming gas spatial distribution, its column density variations, its thermal structure, and its internal motions in a wide range of environments. From the analysis of the gas kinematics, we identified and characterised a total of 152 velocity-coherent fibers in our survey, which appear to be the preferred organisational unit for the dense gas in low-, intermediate- and high-mass star-forming regions alike. Despite the uneven density of fibers within these sub-parsec networks, the masses and lengths of these objects show similar distributions and consistent median values, as well as (trans-)sonic motions, in all of our targets. The comparison between the fiber line masses and virial line masses suggests the majority of these objects to be sub-virial. Those fibers closer to the virial condition, however, also have the most protostars associated to them, proving to be intimately connected to star formation. Finally, the surface density of fibers is linearly correlated with the total dense gas mass throughout roughly one order of magnitude in both parameters. These findings demonstrate how the formation and evolution of fibers networks can explain the current star formation properties of their host region.

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