The identification of filaments on far infrared and submillimiter images. Morphology, physical conditions and relation with star formation of filamentary structure
E. Schisano, K.L. Rygl, S. Molinari, G. Busquet, D. Elia, M., Pestalozzi, D. Polychroni, N. Billot, A. Noriega-Crespo, S. Carey, R., Paladini, T.J.T. Moore, R. Plume, S.C.O. Glover, E. Vazquez-Semadeni

TL;DR
This study develops an unbiased method using the Hessian matrix to identify and analyze filamentary structures in molecular clouds, revealing their properties and connection to star formation from Herschel observations.
Contribution
Introduces a novel Hessian matrix-based approach for unbiased filament detection and characterization in molecular cloud images from Herschel data.
Findings
Identified ~500 filaments with lengths up to 30 pc and widths up to 2.5 pc.
Filaments contain most dense material and are linked to star-forming cores.
Surface densities in filaments suggest they are crucial for high-mass star formation.
Abstract
Observations of molecular clouds reveal a complex structure, with gas and dust often arranged in filamentary rather than spherical geometries. The associations of pre- and proto- stellar cores with the filaments suggest a direct link with the process of star formation. Any study of the properties of such filaments requires a representative samples from different enviroments and so an unbiased detection method. We developed such an approach using the Hessian matrix of a surface-brightness distribution to identify filaments and determine their physical and morphological properties. After testing the method on simulated, but realistic filaments, we apply the algorithms to column-density maps computed from Herschel observations of the Galactic Plane obtained by the Hi-GAL project. We identified ~500 filaments, in the longitude range of l=216.5 to l=225.5, with lengths from ~1 pc up to ~30…
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