Filamentary structures and compact objects in the Aquila and Polaris clouds observed by Herschel
A. Men'shchikov, Ph. Andr\'e, P. Didelon, V. K\"onyves, N. Schneider,, F. Motte, S. Bontemps, D. Arzoumanian, M. Attard, A. Abergel, J.-P. Baluteau,, J.-Ph. Bernard, L. Cambr\'esy, P. Cox, J. Di Francesco, A. M. di Giorgio, M., Griffin, P. Hargrave, M. Huang, J. Kirk, J. Z. Li

TL;DR
Herschel observations reveal that starless cores in the Aquila and Polaris clouds form within filamentary structures, suggesting core formation results from filament fragmentation influenced by gravity, turbulence, and magnetic fields.
Contribution
This study introduces a new multi-scale, multi-wavelength source extraction method and provides the first direct imaging of filaments and cores in these regions.
Findings
All starless cores are located within long, narrow filaments.
Filaments have deconvolved widths of approximately 35-59 arcseconds.
Dense cores likely form through fragmentation of filamentary networks.
Abstract
Our PACS and SPIRE images of the Aquila Rift and part of the Polaris Flare regions, taken during the science demonstration phase of Herschel discovered fascinating, omnipresent filamentary structures that appear to be physically related to compact cores. We briefly describe a new multi-scale, multi-wavelength source extraction method used to detect objects and measure their parameters in our Herschel images. All of the extracted starless cores (541 in Aquila and 302 in Polaris) appear to form in the long and very narrow filaments. With its combination of the far-IR resolution and sensitivity, Herschel directly reveals the filaments in which the dense cores are embedded; the filaments are resolved and have deconvolved widths of 35 arcsec in Aquila and 59 arcsec in Polaris (9000 AU in both regions). Our first results of observations with Herschel enable us to suggest that in general dense…
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.
