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arXiv · 1509.06216

A network of filaments detected by Herschel in the Serpens Core: A laboratory to test simulations of low-mass star formation

Abstract

Filaments represent a key structure during the early stages of the star formation process. Simulations show filamentary structure commonly formed before and during the formation of cores. Aims. The Serpens Core represents an ideal laboratory to test the state-of-the-art of simulations of turbulent Giant Molecular Clouds. We use Herschel observations of the Serpens Core to compute temperature and column density maps of the region. Among the simulations of Dale et al. (2012), we select the early stages of their Run I, before stellar feedback is initiated, with similar total mass and physical size as the Serpens Core. We derive temperature and column density maps also from the simulations. The observed distribution of column densities of the filaments has been analysed first including and then masking the cores. The same analysis has been performed on the simulations as well. A radial network of filaments has been detected in the Serpens Core. The analysed simulation shows a striking morphological resemblance to the observed structures. The column density distribution of simulated filaments without cores shows only a log-normal distribution, while the observed filaments show a power-law tail. The power-law tail becomes evident in the simulation if one focuses just on the column density distribution of the cores. In contrast, the observed cores show a flat distribution. Even though the simulated and observed filaments are subjectively similar-looking, we find that they behave in very different ways. The simulated filaments are turbulence-dominated regions, the observed filaments are instead self-gravitating structures that will probably fragment into cores.

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V. Roccatagliata, J. E. Dale, T. Ratzka, L. Testi, A. Burkert, C. Koepferl, A. Sicilia-Aguilar, C. Eiroa, B. Gaczkowski. 2015-09-21. A network of filaments detected by Herschel in the Serpens Core: A laboratory to test simulations of low-mass star formation. https://doi.org/10.1051/0004-6361%2F201425253

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