Issue |
A&A
Volume 690, October 2024
|
|
---|---|---|
Article Number | A376 | |
Number of page(s) | 17 | |
Section | Interstellar and circumstellar matter | |
DOI | https://doi.org/10.1051/0004-6361/202451177 | |
Published online | 23 October 2024 |
Emergence of high-mass stars in complex fiber networks (EMERGE)
IV. Environmental dependence of the fiber widths
1
Institute for Astronomy (IfA), University of Vienna,
Türkenschanzstrasse 17,
1180
Vienna,
Austria
2
Observatorio Astronómico Nacional (IGN),
Alfonso XII 3,
28014
Madrid,
Spain
★ Corresponding author; andrea.socci@univie.ac.at
Received:
19
June
2024
Accepted:
17
August
2024
Context. Despite their variety of scales throughout the interstellar medium, filaments in nearby low-mass clouds appear to have a characteristic width of ∼0.1 pc from the analysis of Herschel observations. The validity and origin of this characteristic width, however, has been a matter of intense discussions during the last decade.
Aims. We made use of the EMERGE Early ALMA Survey comprising seven targets among low- (OMC-4 South, NGC 2023), intermediate- (OMC-2, OMC-3, LDN 1641N), and high-mass (OMC-1, Flame Nebula) star-forming regions in Orion, which include different physical conditions, star formation histories, mass, and density regimes. All targets were homogeneously surveyed at high- spatial resolution (4.5″or ∼2000 au) in N2H+ (1–0) using a dedicated series of ALMA+IRAM-30m observations, and previous works identified a total of 152 fibers throughout this sample. Here, we aim to characterise the variation in the fiber widths under the different conditions explored by this survey.
Methods. We characterised the column density and temperature radial profiles of fibers using the automatic fitting routine FilChap, and systematically quantified its main physical properties (i.e. peak column density, width, and temperature gradient).
Results. The Orion fibers show a departure from the isothermal condition with significant outward temperature gradients with ∇TK > 30 K pc−1 . The presence of such temperature gradients suggests a change in the equation of state for fibers. By fitting their radial profiles, we report a median full width at half maximum (FWHM) of ∼0.05 pc for the Orion fibers, with a corresponding median aspect ratio of ∼2. Along with their median, the FWHM values for individual cuts are consistently below the proposed characteristic width of 0.1 pc. More relevantly, we observe a systematic variation in these fiber FWHM between different regions in our sample. We also find a direct inverse dependence of the fiber FWHM on their central column density, N0 , above ≳1022 cm−2 , which agrees with the expected N0 − FWHM anti-correlation predicted in previous theoretical studies.
Conclusions. Our homogeneous analysis returns the first observational evidence of an intrinsic and systematic variation in the fiber widths across different star-forming regions. While sharing comparable mass, length, and kinematic properties in all of our targets, fibers appear to adjust their FWHM to their density and to the pressure in their host environment.
Key words: astrochemistry / techniques: high angular resolution / techniques: interferometric / ISM: clouds / ISM: kinematics and dynamics / ISM: molecules
© The Authors 2024
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.