Characterizing the properties of nearby molecular filaments observed with Herschel
D. Arzoumanian, Ph. Andr\'e, V. K\"onyves, P. Palmeirim, A. Roy, N., Schneider, M. Benedettini, P. Didelon, J. Di Francesco, J. Kirk, and B., Ladjelate

TL;DR
This study analyzes Herschel observations of nearby molecular clouds, revealing a consistent filament width of about 0.1 pc and showing that a significant portion of gas mass resides in filaments, with detailed characterization of their properties.
Contribution
It provides a comprehensive analysis of filament properties across multiple clouds, confirming the characteristic width and quantifying the mass distribution in filaments with improved statistical robustness.
Findings
Median filament width of 0.1 pc with narrow distribution.
Over 80% of dense gas is in filaments.
Filament widths are well-resolved and consistent across methods.
Abstract
[Abridged] Molecular filaments have received special attention recently, thanks to new observational results on their properties. In particular, our early analysis of filament properties revealed a narrow distribution of median widths centered at a value of about 0.1 pc. Here, we extend and complement our initial study with the analysis of the filamentary structures observed in eight nearby molecular clouds. We use the column density maps derived from Herschel data and the DisPerSE algorithm to trace a network of filaments in each cloud. We build synthetic maps to assess the completeness limit of our extracted sample and validate our measurements. Our analysis yields a selected sample of 599 filaments with aspect ratios larger than 3 and column density contrasts larger than 0.3. We show that our sample is more than 95% complete for column density contrasts larger than 1, with only 5% of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
