The Galactic Census of High- and Medium-mass Protostars. I. Catalogues and First Results from Mopra HCO+ Maps
Peter J. Barnes (1), Yoshinori Yonekura (2), Yasuo Fukui (3), Andrew, T. Miller (4), Martin M\"uhlegger (4, 5), Lawrence C. Agars (4), Yosuke, Miyamoto (3), Naoko Furukawa (3), George Papadopoulos (4, 6), Scott L., Jones (4, 7), Audra K. Hernandez (1), Stefan N. O'Dougherty (1)

TL;DR
This paper presents the first large-scale, uniform survey of massive molecular clumps in the Milky Way using HCO+ line emission, providing detailed catalogues and physical properties of 301 clumps, revealing a large population of weakly-emitting, dense molecular structures.
Contribution
It introduces the CHaMP survey and its strategy, providing the first comprehensive catalogue and analysis of high- and medium-mass protostellar clumps at sub-parsec resolution.
Findings
95% of clumps are weakly-emitting and dense, likely representing a long-lived evolutionary stage.
Clumps do not follow Larson's size-linewidth relation, indicating different physical conditions.
A significant portion of molecular mass resides in these faint, dense clumps.
Abstract
The Census of High- and Medium-mass Protostars (CHaMP) is the first large-scale, unbiased, uniform mapping survey at sub-parsec scale resolution of 90 GHz line emission from massive molecular clumps in the Milky Way. We present the first Mopra (ATNF) maps of the CHaMP survey region (300{\deg}>l>280{\deg}) in the HCO+ J=1-0 line, which is usually thought to trace gas at densities up to 10^11 m-3. In this paper we introduce the survey and its strategy, describe the observational and data reduction procedures, and give a complete catalogue of moment maps of the HCO+ J=1-0 emission from the ensemble of 301 massive molecular clumps. From these maps we also derive the physical parameters of the clumps, using standard molecular spectral-line analysis techniques. This analysis yields the following range of properties: integrated line intensity 1-30 K km s-1, peak line brightness 1-7 K,…
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.
