Statistical analysis of turbulence in molecular clouds

• DOI: 10.1086/174352
• Publication Date: 2002-07-26T18:37:00Z
• Authors: Mark S. Miesch; John Bally
• Keywords: Line (geometry)

view Abstract Citations (182) References (61) Co-Reads Similar Papers Volume Content Graphics Metrics Export Citation NASA/ADS Statistical Analysis of Turbulence in Molecular Clouds Miesch, Mark S. ; Bally, John We present an investigation the statistical properties fluctuating gas motions five nearby molecular clouds using two-point autocorrelation and structure functions power spectra their radial velocity as traced by emission-line centroid velocities. Our analysis includes observations made with AT&T Bell Laboratories 7 m Crawford Hill antenna (1'.7 beamwidth) (13)CO J = 1 right arrow 0 emission Orion B, Mon R2, L1228, L1551 also 2 surrounding Herbig-Haro object HH 83 lying just west L1641 A cloud that were obtained a higher spatial resolution (0 min .22) IRAM-30 telescope on Pico Veleta, Spain. The effects beam smoothing interpolation set onto regular grid are studied model spectral line data cubes, we find behavior presented here those elsewhere other authors heavily influenced these at scales comparable to somewhat larger than beamwidth. At lags real correlations detected, use e-folding length function (i.e., correlation length) investigate characteristic underlying turbulent flow. this measure is dependent range sampled themselves both for our previously existing authors, interpret result observed similarity between functional forms derived different sets evidence self-similar hierarchy extending over wide interstellar medium. Power-law fits yield mean index describing 0.86 +/- 0.3, which translates into dispersion-region size relationship type first introduced Larson (1981), Delta V varies lgamma, gamma 0.43 0.15. This consistent found his original analysis, approximately equals 0.38, more recent studies, 0.35 less 0.7. discuss scaling laws relation predictions phenomenological theories forced, isotropic turbulence. stress maximum energy transport rate scale from following procedure Kleiner & Dickman, results discussed context scale-dependent star formation generation turbulence clouds. Publication: Astrophysical Journal Pub Date: July 1994 DOI: 10.1086/174352 Bibcode: 1994ApJ...429..645M Keywords: Astronomical Models; Carbon Monoxide; 13; Gas Flow; Clouds; Power Spectra; Scaling Laws; Turbulent Variations; Velocity Distribution; Antennas; Autocorrelation; Energy Dissipation; Errors; Estimates; Pressure; Radio Telescopes; Analysis; Astrophysics; ISM: CLOUDS; MOLECULES; TURBULENCE full text sources ADS | products SIMBAD (13)