RMS survey of southern candidate massive YSOs

DOI

The Red MSX Source (RMS) survey is an ongoing effort to return a large, well-selected sample of massive young stellar objects (MYSOs) within our Galaxy. 2000 candidates have been colour-selected from the Mid-course Space Experiment (MSX) point source catalogue (PSC). A series of ground-based follow-up observations are being undertaken in order to remove contaminant objects (ultra-compact HII (UCHII) regions, planetary nebulae (PN), evolved stars), and to begin characterising these MYSOs. As a part of these follow-up observations, high resolution (~1") mid-IR imaging aids the identification of contaminant objects which are resolved (UCHII regions, PN) as opposed to those which are unresolved (YSOs, evolved stars) as well as identifying YSOs near UCHII regions and other multiple sources. We present 10.4{mu}m imaging observations for 346 candidate MYSOs in the RMS survey in the Southern Hemisphere, primarily outside the region covered by the GLIMPSE Spitzer Legacy Survey. These were obtained using TIMMI2 on the ESO 3.6m telescope in La Silla, Chile. Our photometric accuracy is of order 0.05Jy, and our astrometric accuracy is 0.8", which is an improvement over the nominal 2" accuracy of the MSX PSC.

Cone search capability for table J/A+A/476/1019/table2 (Observed targets)

Identifier
DOI http://doi.org/10.26093/cds/vizier.34761019
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/A+A/476/1019
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/476/1019
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/476/1019
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/A+A/476/1019
Provenance
Creator Mottram J.C.; Hoare M.G.; Lumsden S.L.; Oudmaijer R.D.; Urquhart J.S.,Sheret T.L.; Clarke A.J.; Allsopp J.
Publisher CDS
Publication Year 2008
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; Interstellar medium; Natural Sciences; Observational Astronomy; Physics; Stellar Astronomy