ALMA Survey of Orion Planck Galactic Cold Clumps (ALMASOP): Detection of extremely high density compact structure of prestellar cores and multiple substructures within
Dipen Sahu, Sheng-Yuan Liu, Tie Liu, Neal J. Evans II, Naomi Hirano,, Ken'ichi Tatematsu, Chin-Fei Lee, Kee-Tae Kim, Somnath Dutta, Dana Alina,, Leonardo Bronfman, Maria Cunningham, David J. Eden, Guido Garay, Paul F., Goldsmith, Jinhua He, Shih-Ying Hsu, Kai-Syun Jhan

TL;DR
This study uses ALMA observations to detect extremely dense prestellar cores and their substructures in Orion, revealing fragmentation and early stages of multiple star formation at unprecedented resolution.
Contribution
First detection of high-density substructures within prestellar cores at 320 au resolution, showing fragmentation and potential early multiple star formation.
Findings
Detected five dense prestellar cores with central regions ~2000 au and densities ~10^7 cm^-3.
Observed fragmentation in one core with substructures 800-1700 au in size.
Substructures are massive enough to form young stellar objects and multiple systems.
Abstract
Prestellar cores are self-gravitating dense and cold structures within molecular clouds where future stars are born. They are expected, at the stage of transitioning to the protostellar phase, to harbor centrally concentrated dense (sub)structures that will seed the formation of a new star or the binary/multiple stellar systems. Characterizing this critical stage of evolution is key to our understanding of star formation. In this work, we report the detection of high density (sub)structures on the thousand-au scale in a sample of dense prestellar cores. Through our recent ALMA observations towards the Orion molecular cloud, we have found five extremely dense prestellar cores, which have centrally concentrated regions 2000 au in size, and several in average density. Masses of these centrally dense regions are in the range of 0.30 to 6.89 M. {\it For the…
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.
