CPROPS: Bias-free Measurement of Giant Molecular Cloud Prope

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CPROPS: Bias-free Measurement of Giant Molecular Cloud Prope

Postby owlice » Tue Feb 08, 2011 6:34 pm

CPROPS: Bias-free Measurement of Giant Molecular Cloud Properties

Abstract: CPROPS, written in IDL, processes FITS data cubes containing molecular line emission and returns the properties of molecular clouds contained within it. Without corrections for the effects of beam convolution and sensitivity to GMC properties, the resulting properties may be severely biased. This is particularly true for extragalactic observations, where resolution and sensitivity effects often bias measured values by 40% or more. We correct for finite spatial and spectral resolutions with a simple deconvolution and we correct for sensitivity biases by extrapolating properties of a GMC to those we would expect to measure with perfect sensitivity. The resulting method recovers the properties of a GMC to within 10% over a large range of resolutions and sensitivities, provided the clouds are marginally resolved with a peak signal-to-noise ratio greater than 10. We note that interferometers systematically underestimate cloud properties, particularly the flux from a cloud. The degree of bias depends on the sensitivity of the observations and the (u,v) coverage of the observations. In the Appendix to the paper we present a conservative, new decomposition algorithm for identifying GMCs in molecular-line observations. This algorithm treats the data in physical rather than observational units, does not produce spurious clouds in the presence of noise, and is sensitive to a range of morphologies. As a result, the output of this decomposition should be directly comparable among disparate data sets.

The CPROPS package contains within it a distribution of the CLUMPFIND code written by Jonathan Williams and described in Williams, de Geus, and Blitz(1994). The package is available as a stand alone package. If you make use of the CLUMPFIND functionality in the CPROPS package for a publication, please cite Jonathan's original article.

Credit: Erik Rosolowsky and Adam Leroy

Site: https://people.ok.ubc.ca/erosolo/cprops/index.html
http://arxiv.org/abs/astro-ph/0601706

ID: ascl:1102.012
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Re: CPROPS: Bias-free Measurement of Giant Molecular Cloud P

Postby teuben » Mon Jan 14, 2013 4:06 pm

Their final paper is on http://adsabs.harvard.edu/abs/2006PASP..118..590R
There is also a recent (2011) code version on https://github.com/low-sky/cprops.git
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