TRAO-TIMES: Investigating Turbulence and Chemistry in Two Star-forming Molecular clouds

  • Yun, Hyeong-Sik (School of Space Research, Kyung Hee University) ;
  • Lee, Jeong-Eun (School of Space Research, Kyung Hee University) ;
  • Choi, Yunhee (Korea Astronomy and Space Science Institute) ;
  • Evans, Neal J. II (Korea Astronomy and Space Science Institute) ;
  • Offner, Stella S.R. (Department of Astronomy, University of Texas) ;
  • Baek, Giseon (School of Space Research, Kyung Hee University) ;
  • Lee, Yong-Hee (School of Space Research, Kyung Hee University) ;
  • Choi, Minho (Korea Astronomy and Space Science Institute) ;
  • Kang, Hyunwoo (Korea Astronomy and Space Science Institute) ;
  • Cho, Jungyeon (Department of Astronomy and Space Science, Chungnam National University) ;
  • Lee, Seokho (National Astronomical Observatory of Japan) ;
  • Tatematsu, Ken'ichi (National Astronomical Observatory of Japan) ;
  • Heyer, Mark H. (Department of Astronomy, University of Massachusetts) ;
  • Gaches, Brandt A.L. (Center of Planetary Systems Habitability, University of Texas) ;
  • Yang, Yao-Lun (Department of Astronomy, University of Virginia)
  • 발행 : 2021.10.13

초록

Turbulence produces the density and velocity fluctuations in molecular clouds, and dense regions within the density fluctuation are the birthplace of stars. Also, turbulence can produce non-thermal pressure against gravity. Thus, turbulence plays a crucial roles in controlling star formation. However, despite many years of study, the detailed relation between turbulence and star formation remain poorly understood. As part of the Taeduk Radio Astronomy Observatory (TRAO) Key Science Program (KSP), "mapping Turbulent properties In star-forming MolEcular clouds down to the Sonic scale (TIMES; PI: Jeong-Eun Lee)", we mapped two star-forming molecular clouds, the Orion A and the ρ Ophiuchus molecular clouds, in six molecular lines (13CO 1-0/C18O 1-0, HCN 1-0/HCO+ 1-0, and CS 2-1/N2H+ 1-0) using the TRAO 14-m telescope. We applied the Principal Component Analysis (PCA) to the observed data in two different ways. The first method is analyzing the variation of line intensities in velocity space to evaluate the velocity power spectrum of underlying turbulence. We investigated the relation between the star formation activities and properties of turbulence. The other method is analyzing the variation of the integrated intensities between the molecular lines to find the characteristic correlation between them. We found that the HCN, HCO+, and CS lines well correlate with each other in the integral shaped filament in the Orion A cloud, while the HCO+ line is anti-correlate with the HCN and CS lines in L1688 of the Ophiuchus cloud.

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