Ossenkopf-Okada, V., Csengeri, T., Schneider, N., Federrath, C. and Klessen, R. S. (2016). The reliability of observational measurements of column density probability distribution functions. Astron. Astrophys., 590. LES ULIS CEDEX A: EDP SCIENCES S A. ISSN 1432-0746

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Abstract

Context. Probability distribution functions (PDFs) of column densities are an established tool to characterize the evolutionary state of interstellar clouds. Aims. Using simulations, we show to what degree their determination is affected by noise, line-of-sight contamination, field selection, and the incomplete sampling in interferometric measurements. Methods. We solve the integrals that describe the convolution of a cloud PDF with contaminating sources such as noise and line-of-ight emission, and study the impact of missing information on the measured column density PDF. In this way we can quantify the effect of the different processes and propose ways to correct for their impact to recover the intrinsic PDF of the observed cloud. Results. The effect of observational noise can be easily estimated and corrected for if the root mean square (rms) of the noise is known. For sigma(noise) values below 40% of the typical cloud column density, N-peak, this involves almost no degradation in the accuracy of the PDF parameters. For higher noise levels and narrow cloud PDFs the width of the PDF becomes increasingly uncertain. A contamination by turbulent foreground or background clouds can be removed as a constant shield if the peak of the contamination PDF falls at a lower column or is narrower than that of the observed cloud. Uncertainties in cloud boundary definition mainly affect the low-column density part of the PDF and the mean density. As long as more than 50% of a cloud is covered, the impact on the PDF parameters is negligible. In contrast, the incomplete sampling of the uv-plane in interferometric observations leads to uncorrectable PDF distortions in the maps produced. An extension of the capabilities of the Atacama Large Millimeter Array (ALMA) would allow us to recover the high-column density tail of the PDF, but we found no way to measure the intermediate- and low-column density part of the underlying cloud PDF in interferometric observations.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Ossenkopf-Okada, V.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Csengeri, T.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schneider, N.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Federrath, C.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Klessen, R. S.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-273356
DOI: 10.1051/0004-6361/201628095
Journal or Publication Title: Astron. Astrophys.
Volume: 590
Date: 2016
Publisher: EDP SCIENCES S A
Place of Publication: LES ULIS CEDEX A
ISSN: 1432-0746
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
UNDERSTANDING STAR-FORMATION; MACH NUMBER RELATION; MOLECULAR CLOUDS; SUPERSONIC TURBULENCE; GAS; FIELD; VARIANCE; EVOLUTION; II.; INTERMITTENCYMultiple languages
Astronomy & AstrophysicsMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/27335

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