Statistical Analysis for Turbulence Properties of the Orion Molecular Cloud

  • Yun, Hyeong-Sik (Kyung Hee University) ;
  • Lee, Jeong-Eun (Kyung Hee University) ;
  • Choi, Yunhee (Kyung Hee University) ;
  • Lee, Seokho (Kyung Hee University) ;
  • Choi, Minho (Korea Astronomy and Space Science Institute) ;
  • Kang, Hyunwoo (Korea Astronomy and Space Science Institute) ;
  • Tatematsu, Ken'ichi (National Astronomical Observatory of Japan) ;
  • Offner, Stella S.R. (University of Massachusetts) ;
  • Gaches, Brandt A.L. (University of Massachusetts) ;
  • Heyer, Mark H. (University of Massachusetts) ;
  • Evans, Neal J. II (University of Texas) ;
  • Yang, Yao-Lun (University of Texas)
  • Published : 2016.10.12

Abstract

Turbulence plays an important role in molecular clouds. However, the properties of turbulence are poorly understood. In order to study the influence of turbulence in molecular clouds, we need to sample the turbulent properties in the full range of scales down to sonic scale. We mapped the $20^{\prime}{\times}60^{\prime}$ area covering the Orion Molecular Cloud (OMC) 1-4 region in HCN 1-0 and HCO+ 1-0 with Taeduk Radio Astronomy Observatory (TRAO) 14-m telescope as part of the TRAO key science program, "Mapping turbulent properties of star-forming molecular clouds down to the sonic scale (PI: Jeong-Eun Lee)". In addition, we combine our TRAO data with other molecular line maps ($^{13}CO$ 1-0, $C^{18}O$ 1-0, CS 1-0, $N_2H^+$ 1-0) obtained with the Nobeyama Radio Observatory (NRO) 45-m telescope. To analyze these data, we apply statistical methods, the principal component analysis (PCA) and spectral correlation function (SCF), which are known to be useful to study underlying turbulent properties and to quantitatively characterize cloud structure. We will present the preliminary results of observations and analyses.

Keywords