High-dynamic-range extinction mapping of infrared dark clouds: Dependence of density variance with sonic Mach number in molecular clouds
Jouni Kainulainen (1), Jonathan C. Tan (2, 3) ((1) MPIA Heidelberg,, (2) Dept. of Astronomy, University of Florida, (3) Dept. of Physics,, University of Florida)

TL;DR
This study introduces a new high-resolution, high-dynamic-range column density mapping technique for infrared dark clouds, enabling the first direct measurement of the density variance-sonic Mach number relation in molecular clouds, which informs star formation models.
Contribution
The paper presents a novel method combining near- and mid-infrared data to map IRDCs at high resolution and measures the density variance-sonic Mach number relation directly in molecular clouds.
Findings
Detected a correlation between column density dispersion and sonic Mach number.
Derived the relation _{N/<N>} = (0.047 0.016) M_s.
Supports weak magnetic field-density correlation in molecular clouds.
Abstract
Measuring the mass distribution of infrared dark clouds (IRDCs) over the wide dynamic range of their column densities is a fundamental obstacle in determining the initial conditions of high-mass star formation and star cluster formation. We present a new technique to derive high-dynamic-range, arcsecond-scale resolution column density data for IRDCs and demonstrate the potential of such data in measuring the density variance - sonic Mach number relation in molecular clouds. We combine near-infrared data from the UKIDSS/Galactic Plane Survey with mid-infrared data from the Spitzer/GLIMPSE survey to derive dust extinction maps for a sample of ten IRDCs. We then examine the linewidths of the IRDCs using 13CO line emission data from the FCRAO/Galactic Ring Survey and derive a column density - sonic Mach number relation for them. For comparison, we also examine the relation in a sample of…
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Taxonomy
TopicsAstrophysics and Star Formation Studies · Stellar, planetary, and galactic studies · Galaxies: Formation, Evolution, Phenomena
