Spitzer observations of W3 molecular cloud

DOI

In this work, we have carried out an in-depth analysis of the young stellar content in the W3 giant molecular cloud (GMC). The young stellar object (YSO) population was identified and classified in the Infrared Array Camera/Multiband Imaging Photometer color-magnitude space according to the "Class" scheme and compared to other classifications based on intrinsic properties. Class 0/I and II candidates were also compared to low-/intermediate-mass pre-main-sequence (PMS) stars selected through their colors and magnitudes in the Two Micron All Sky Survey. We find that a reliable color/magnitude selection of low-mass PMS stars in the infrared requires prior knowledge of the protostar population, while intermediate-mass objects can be more reliably identified. By means of the minimum spanning tree algorithm and our YSO spatial distribution and age maps, we investigated the YSO groups and the star formation history in W3.

Cone search capability for table J/ApJ/743/39/table3 (2MASS-based sample of pre-main sequence stars in W3)

Cone search capability for table J/ApJ/743/39/yso (YSOs in W3: classifications and Spitzer photometry)

Cone search capability for table J/ApJ/743/39/table4 (Galaxy candidates)

Cone search capability for table J/ApJ/743/39/table15 (Individual parameters of groups in subregions of W3)

Identifier
DOI http://doi.org/10.26093/cds/vizier.17430039
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/ApJ/743/39
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJ/743/39
Related Identifier https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJ/743/39
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/ApJ/743/39
Provenance
Creator Rivera-Ingraham A.; Martin P.G.; Polychroni D.; Moore T.J.T.
Publisher CDS
Publication Year 2013
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; Observational Astronomy; Physics; Stellar Astronomy