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The road toward a full, high resolution Molecular Cloud catalog of the Galaxy

Published online by Cambridge University Press:  12 September 2016

Dario Colombo
Affiliation:
Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, AB T6G 2E1, Canada, email: dcolombo@ualberta.ca
Erik Rosolowsky
Affiliation:
Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, AB T6G 2E1, Canada, email: dcolombo@ualberta.ca
Adam Ginsburg
Affiliation:
European Southern Observatory, Karl-Schwarzschild-Strasse 2, 85748, Garching bei Munchen, Germany
Ana Duarte-Cabral
Affiliation:
School of Physics and Astronomy, University of Exeter, Stocker Road, Exeter EX4 4QL, UK
Annie Hughes
Affiliation:
CNRS, IRAP, 9 Av. colonel Roche, BP 44346, F-31028 Toulouse cedex 4, France Université de Toulouse, UPS-OMP, IRAP, F-31028 Toulouse cedex 4, France Max Planck Institute for Astronomy, Königstuhl 17, 69117 Heidelberg, Germany
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Abstract

The statistical description of Giant Molecular Cloud (GMC) properties relies heavily on the performance of automatic identification algorithms, which are often seriously affected by the survey design. The algorithm we designed, SCIMES (Spectral Clustering for Molecular Emission Segmentation), is able to overcome some of these limitations by considering the cloud segmentation problem in the broad framework of the graph theory. The application of the code on the CO(3-2) High Resolution Survey (COHRS) data allowed for a robust decomposition of more than 12,000 objects in the Galactic Plane. Together with the wealth of Galactic Plane surveys of the recent years, this approach will help to open the door to a future, systematic cataloging of all discrete molecular features of our own Galaxy.

Type
Poster Papers
Copyright
Copyright © International Astronomical Union 2016 

References

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The road toward a full, high resolution Molecular Cloud catalog of the Galaxy
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