Hi-GAL cluster candidates physical properties

DOI

The aims are to investigate the clustering of the far-infrared sources from the Herschel infrared Galactic Plane Survey (Hi-GAL) in the Galactic longitude range of -71 to 67{deg}. These clumps, and their spatial distribution, are an imprint of the original conditions within a molecular cloud. This will produce a catalogue of over-densities. The minimum spanning tree (MST) method was used to identify the over-densities in two dimensions. The catalogue was further refined by folding in heliocentric distances, resulting in more reliable over-densities, which are cluster candidates. We found 1633 over-densities with more than ten members. Of these, 496 are defined as cluster candidates because of the reliability of the distances, with a further 1,137 potential cluster candidates. The spatial distributions of the cluster candidates are different in the first and fourth quadrants, with all clusters following the spiral structure of the Milky Way. The cluster candidates are fractal. The clump mass functions of the clustered and isolated are statistically indistinguishable from each other and are consistent with Kroupa's initial mass function.

Cone search capability for table J/A+A/597/A114/table1 (Reliable cluster candidates)

Cone search capability for table J/A+A/597/A114/table2 (Potential cluster candidates)

Identifier
DOI http://doi.org/10.26093/cds/vizier.35970114
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/A+A/597/A114
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/597/A114
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/597/A114
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/A+A/597/A114
Provenance
Creator Beuret M.; Billot N.; Cambresy L.; Eden D.J.; Elia D.; Molinari S.,Pezzuto S.; Schisano E.
Publisher CDS
Publication Year 2017
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Cosmology; Galactic and extragalactic Astronomy; Interstellar medium; Natural Sciences; Physics