The RMS survey : 13CO observations of candidate massive YSOs in the southern galactic plane
Identifieur interne : 009314 ( Main/Exploration ); précédent : 009313; suivant : 009315The RMS survey : 13CO observations of candidate massive YSOs in the southern galactic plane
Auteurs : J. S. Urquhart [Royaume-Uni] ; A. L. Busfield [Royaume-Uni] ; M. G. Hoare [Royaume-Uni] ; S. L. Lumsden [Royaume-Uni] ; R. D. Oudmaijer [Royaume-Uni] ; T. J. T. Moore [Royaume-Uni] ; A. G. Gibb [Canada] ; C. R. Purcell [Australie, Royaume-Uni] ; M. G. Burton [Australie] ; L. J. L. Marechal [France]Source :
- Astronomy and astrophysics : (Berlin. Print) [ 0004-6361 ] ; 2007.
Descripteurs français
- Pascal (Inist)
- Objet stellaire jeune, Plan galactique, Galaxies, Couleur, Source ponctuelle, Région H II compacte, Nébuleuse planétaire, Cinématique, Luminosité, Transition rotationnelle, Fréquence transition, Profil raie, Nuage moléculaire, Maser, Multiplicité, Courbe rotation, Vitesse radiale, Formation stellaire, Etoile premier type, Etoile pré séquence principale, Dynamique.
English descriptors
- KwdEn :
- Color, Compact H II region, Dynamics, Early type stars, Galactic planes, Galaxies, Kinematics, Line shape, Luminosity, Masers, Molecular clouds, Multiplicity, Planetary nebulae, Point sources, Pre-main-sequence stars, Radial velocity, Rotation curve, Rotational transition, Star formation, Transition frequency, Young stellar object.
Abstract
Context. The Red MSX Source (RMS) survey is an ongoing multi-wavelength observational programme designed to return a large, well-selected sample of massive young stellar objects (MYSOs). We have identified ∼2000 MYSOs candidates located within our Galaxy by comparing the colours of MSX and 2MASS point sources to those of known MYSOs. The aim of our follow-up observations is to identify other contaminating objects such as ultra compact (UC) HII regions, evolved stars and planetary nebulae (PNe) and distinguish between genuine MYSOs and nearby low-mass YSOs. Aims. A critical part of our follow-up programme is to conduct 13CO molecular line observations in order to determine kinematic distances to all of our MYSO candidates. These distances will be used in combination with far-IR and (sub)millimetre fluxes to determine bolometric luminosities which will allow us to identify and remove nearby low-mass YSOs. In addition these molecular line observations will help in identifying evolved stars which are weak CO emitters. Methods. We have used the 22 m Mopra telescope, the 15 m JCMT and the 20 m Onsala telescope to conduct molecular line observations towards 854 MYSOs candidates located in the 3rd and 4th quadrants. These observations have been made at the J = 1-0 (Mopra and Onsala) and J = 2-1 (JCMT) rotational transition frequency of 13CO molecules and have a spatial resolution of ∼20"-40", a sensitivity of T*A ≃ 0.1 K and a velocity resolution of ∼0.2 km s-1. Results. We detect 13CO emission towards a total of 752 of the 854 RMS sources observed (∼88%). In total 2132 emission components are detected above 30- level (typically T*A > 0.3 K). Multiple emission profiles are observed towards the majority of these sources - 461 sources (∼60%) - with an average of ∼4 molecular clouds detected along the line of sight. These multiple emission features make it difficult to assign a kinematic velocity to many of our sample. We have used archival CS (J = 2-1) and maser velocities to resolve the component multiplicity towards 82 sources and have derived a criterion which is used to identify the most likely component for a further 218 multiple component sources. Combined with the single component detections we have obtained unambiguous kinematic velocities towards 591 sources (∼80% of the detections). The 161 sources for which we have not been able to determine the kinematic velocity will require additional line data. Using the rotation curve of Brand & Blitz (1993) and their radial velocities we calculate kinematic distances for all components detected.
Affiliations:
- Australie, Canada, France, Royaume-Uni
- Angleterre, Grand Manchester, Yorkshire-et-Humber, Île-de-France
- Leeds, Manchester, Paris
- Université de Leeds, Université de Manchester
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: 003906
- to stream PascalFrancis, to step Curation: 002782
- to stream PascalFrancis, to step Checkpoint: 003587
- to stream Main, to step Merge: 009C99
- to stream Main, to step Curation: 009314
Le document en format XML
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CO observations of candidate massive YSOs in the southern galactic plane</title>
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<term>Compact H II region</term>
<term>Dynamics</term>
<term>Early type stars</term>
<term>Galactic planes</term>
<term>Galaxies</term>
<term>Kinematics</term>
<term>Line shape</term>
<term>Luminosity</term>
<term>Masers</term>
<term>Molecular clouds</term>
<term>Multiplicity</term>
<term>Planetary nebulae</term>
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<term>Pre-main-sequence stars</term>
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<term>Rotation curve</term>
<term>Rotational transition</term>
<term>Star formation</term>
<term>Transition frequency</term>
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<term>Plan galactique</term>
<term>Galaxies</term>
<term>Couleur</term>
<term>Source ponctuelle</term>
<term>Région H II compacte</term>
<term>Nébuleuse planétaire</term>
<term>Cinématique</term>
<term>Luminosité</term>
<term>Transition rotationnelle</term>
<term>Fréquence transition</term>
<term>Profil raie</term>
<term>Nuage moléculaire</term>
<term>Maser</term>
<term>Multiplicité</term>
<term>Courbe rotation</term>
<term>Vitesse radiale</term>
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</teiHeader>
<front><div type="abstract" xml:lang="en">Context. The Red MSX Source (RMS) survey is an ongoing multi-wavelength observational programme designed to return a large, well-selected sample of massive young stellar objects (MYSOs). We have identified ∼2000 MYSOs candidates located within our Galaxy by comparing the colours of MSX and 2MASS point sources to those of known MYSOs. The aim of our follow-up observations is to identify other contaminating objects such as ultra compact (UC) HII regions, evolved stars and planetary nebulae (PNe) and distinguish between genuine MYSOs and nearby low-mass YSOs. Aims. A critical part of our follow-up programme is to conduct <sup>13</sup>
CO molecular line observations in order to determine kinematic distances to all of our MYSO candidates. These distances will be used in combination with far-IR and (sub)millimetre fluxes to determine bolometric luminosities which will allow us to identify and remove nearby low-mass YSOs. In addition these molecular line observations will help in identifying evolved stars which are weak CO emitters. Methods. We have used the 22 m Mopra telescope, the 15 m JCMT and the 20 m Onsala telescope to conduct molecular line observations towards 854 MYSOs candidates located in the 3rd and 4th quadrants. These observations have been made at the J = 1-0 (Mopra and Onsala) and J = 2-1 (JCMT) rotational transition frequency of <sup>13</sup>
CO molecules and have a spatial resolution of ∼20"-40", a sensitivity of T<sup>*</sup>
<sub>A</sub>
≃ 0.1 K and a velocity resolution of ∼0.2 km s<sup>-1</sup>
. Results. We detect <sup>13</sup>
CO emission towards a total of 752 of the 854 RMS sources observed (∼88%). In total 2132 emission components are detected above 30<sup>-</sup>
level (typically T<sup>*</sup>
<sub>A</sub>
> 0.3 K). Multiple emission profiles are observed towards the majority of these sources - 461 sources (∼60%) - with an average of ∼4 molecular clouds detected along the line of sight. These multiple emission features make it difficult to assign a kinematic velocity to many of our sample. We have used archival CS (J = 2-1) and maser velocities to resolve the component multiplicity towards 82 sources and have derived a criterion which is used to identify the most likely component for a further 218 multiple component sources. Combined with the single component detections we have obtained unambiguous kinematic velocities towards 591 sources (∼80% of the detections). The 161 sources for which we have not been able to determine the kinematic velocity will require additional line data. Using the rotation curve of Brand & Blitz (1993) and their radial velocities we calculate kinematic distances for all components detected.</div>
</front>
</TEI>
<affiliations><list><country><li>Australie</li>
<li>Canada</li>
<li>France</li>
<li>Royaume-Uni</li>
</country>
<region><li>Angleterre</li>
<li>Grand Manchester</li>
<li>Yorkshire-et-Humber</li>
<li>Île-de-France</li>
</region>
<settlement><li>Leeds</li>
<li>Manchester</li>
<li>Paris</li>
</settlement>
<orgName><li>Université de Leeds</li>
<li>Université de Manchester</li>
</orgName>
</list>
<tree><country name="Royaume-Uni"><region name="Angleterre"><name sortKey="Urquhart, J S" sort="Urquhart, J S" uniqKey="Urquhart J" first="J. S." last="Urquhart">J. S. Urquhart</name>
</region>
<name sortKey="Busfield, A L" sort="Busfield, A L" uniqKey="Busfield A" first="A. L." last="Busfield">A. L. Busfield</name>
<name sortKey="Hoare, M G" sort="Hoare, M G" uniqKey="Hoare M" first="M. G." last="Hoare">M. G. Hoare</name>
<name sortKey="Lumsden, S L" sort="Lumsden, S L" uniqKey="Lumsden S" first="S. L." last="Lumsden">S. L. Lumsden</name>
<name sortKey="Moore, T J T" sort="Moore, T J T" uniqKey="Moore T" first="T. J. T." last="Moore">T. J. T. Moore</name>
<name sortKey="Oudmaijer, R D" sort="Oudmaijer, R D" uniqKey="Oudmaijer R" first="R. D." last="Oudmaijer">R. D. Oudmaijer</name>
<name sortKey="Purcell, C R" sort="Purcell, C R" uniqKey="Purcell C" first="C. R." last="Purcell">C. R. Purcell</name>
</country>
<country name="Canada"><noRegion><name sortKey="Gibb, A G" sort="Gibb, A G" uniqKey="Gibb A" first="A. G." last="Gibb">A. G. Gibb</name>
</noRegion>
</country>
<country name="Australie"><noRegion><name sortKey="Purcell, C R" sort="Purcell, C R" uniqKey="Purcell C" first="C. R." last="Purcell">C. R. Purcell</name>
</noRegion>
<name sortKey="Burton, M G" sort="Burton, M G" uniqKey="Burton M" first="M. G." last="Burton">M. G. Burton</name>
</country>
<country name="France"><region name="Île-de-France"><name sortKey="Marechal, L J L" sort="Marechal, L J L" uniqKey="Marechal L" first="L. J. L." last="Marechal">L. J. L. Marechal</name>
</region>
</country>
</tree>
</affiliations>
</record>
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