The ALMA-ATOMS Survey: Exploring Protostellar Outflows in HC$_3$N
Ariful Hoque, Tapas Baug, Lokesh K. Dewangan, Mika Juvela, Anandmayee, Tej, Paul F. Goldsmith, Pablo Garc\'ia, Amelia M. Stutz, Tie Liu, Chang Won, Lee, Fengwei Xu, Patricio Sanhueza, N. K. Bhadari, K. Tatematsu, Xunchuan, Liu, Hong-Li Liu, Yong Zhang, Xindi Tang, Guido Garay

TL;DR
This study uses HC$_3$N to systematically investigate bipolar outflows in 146 massive star-forming regions, revealing HC$_3$N as an effective tracer for both low- and high-velocity outflow components across different evolutionary stages.
Contribution
First systematic survey demonstrating HC$_3$N as an unbiased and effective tracer for bipolar outflows in massive star-forming regions, especially for low-velocity components.
Findings
Identified 44 bipolar and 1 explosive outflow in HC$_3$N.
HC$_3$N performs better than SiO in detecting low-velocity outflows.
Outflow parameters correlate moderately with clump mass and luminosity.
Abstract
We present the first systematic study of bipolar outflows using HCN as a tracer in a sample of 146 massive star-forming regions from ALMA-ATOMS survey. Protostellar outflows arise at the initial stage of star formation as a consequence of active accretion. In general, these outflows play a pivotal role in regulating the star formation processes by injecting energetic material in the parent molecular clouds. In such process, lower velocity components of outflows contain a significant portion of the energy. However, extraction of those component is difficult as the corresponding gas is often mixed with that of the ambient cloud. In our sample, we identified 44 bipolar outflows and one explosive outflow in HCN (J=11--10). The host clumps of these outflows are found to be at different evolutionary stages, suggesting that outflows in HCN are detectable in different stages of star…
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Taxonomy
TopicsAstrophysics and Star Formation Studies · Astronomy and Astrophysical Research · Scientific Research and Discoveries
