Issue |
A&A
Volume 666, October 2022
|
|
---|---|---|
Article Number | C2 | |
Number of page(s) | 1 | |
Section | Interstellar and circumstellar matter | |
DOI | https://doi.org/10.1051/0004-6361/201527364e | |
Published online | 30 September 2022 |
Dust emissivity in the star-forming filament OMC 2/3 (Corrigendum)
1
Max-Planck-Institut für Astronomie (MPIA),
Königstuhl 17,
69117
Heidelberg, Germany
e-mail: sarah.sadavoy@queensu.ca
2
National Radio Astronomy Observatory,
520 Edgemont Road,
Charlottesville,
VA 22903, USA
3
National Research Council Canada,
5071 West Saanich Road,
Victoria,
BC V9E 2E7, Canada
4
Department of Physics & Astronomy, University of Victoria,
PO Box 3055,
STN CSC,
Victoria,
BC V8W 3P6, Canada
5
Dunlap Institute for Astronomy and Astrophysics, University of Toronto,
50 St. George Street,
Toronto,
M5S 3H4
Ontario, Canada
Key words: stars: formation / dust / extinction / ISM: clouds / submillimeter: ISM / errata / addenda
An error occurred during the calculation of core mass in Table 1. The code used to complete the spectral energy distribution (SED) fitting did not have the correct distance to Orion. As such, the masses given in the original publication are a factor of 3.2 too low. For completeness, we re-ran our Monte Carlo SED fitting using an assumed distance to Orion of 420 pc and confirmed that the dust temperature and dust opacity indices (β) are consistent with the original publication. We also confirm that the 3 mm observations are still elevated relative to the Herschel + IRAM best-fit SEDs. Thus, the conclusions of the paper are unaffected by this error.
We provide here a revised version of Table 1 containing the updated source properties from the distance-corrected SED fitting. Temperature and β are largely unchanged from the published values (within errors from the Monte Carlo fitting). The masses have increased by a factor of ~3.2.
Updated core properties for a distance of 420 pc.
© S. I. Sadavoy et al. 2022
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.
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