OH 310.144+00.760 , the SIMBAD biblio

OH 310.144+00.760 , the SIMBAD biblio (34 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.05.24CEST00:20:39


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Title First 3 Authors
1989A&A...221..105S 114 54 Water-vapor maser emission from bright, unassociated IRAS point sources. SCALISE E., RODRIGUEZ L.F. and MENDOZA-TORRES E.
1994MNRAS.269..257G 26 17 12.2-GHz methanol and 1.6-GHz hydroxyl masers associated with new 6.7-GHz methanol masers. GAYLARD M.J., MacLEOD G.C. and VAN DER WALT D.J.
1995A&AS..110...81V viz 562 69 New detections of 51-60A+-methanol masers towards IRAS sources. VAN DER WALT D.J., GAYLARD M.J. and MacLEOD G.C.
1996A&AS..115...81B viz 14       D               1 1472 529 A CS(2-1) survey of IRAS point sources with color characteristics of ultra-compact HII regions. BRONFMAN L., NYMAN L.-A. and MAY J.
1998MNRAS.297..215C 215 186 Positions of hydroxyl masers at 1665 and 1667 MHz. CASWELL J.L.
1999MNRAS.310.1077V 104 35 Detection of new sources of methanol emission at 107 and 108GHz with the Mopra telescope. VAL'TTS I.E., ELLINGSEN S.P., SLYSH V.I., et al.
2001PASJ...53.1037S 67 15 The most massive C^18 O molecular complex in Centaurus and star formation therein. SAITO H., MIZUNO N., MORIGUCHI Y., et al.
2004A&A...426...97F viz 155 210 SIMBA survey of southern high-mass star forming regions. I. Physical parameters of the 1.2-mm/IRAS sources. FAUNDEZ S., BRONFMAN L., GARAY G., et al.
2004MNRAS.349...99C 47 58 OH 1720-MHz masers in southern star-forming regions. CASWELL J.L.
2005A&A...432..737P viz 943 204 A general catalogue of 6.7-GHz methanol masers. I. Data. PESTALOZZI M.R., MINIER V. and BOOTH R.S.
2008AJ....136.2391C viz 15       D               1 523 453 A catalog of extended green objects in the GLIMPSE survey: a new sample of massive young stellar object outflow candidates. CYGANOWSKI C.J., WHITNEY B.A., HOLDEN E., et al.
2011A&A...529A..95V 15       D               2 103 23 Zeeman splitting of 6.7 GHz methanol masers. On the uncertainty of magnetic field strength determinations. VLEMMINGS W.H.T., TORRES R.M. and DODSON R.
2011ApJ...742..109E 15       D               1 77 31 37 GHz methanol masers : horsemen of the apocalypse for the class II methanol maser phase? ELLINGSEN S.P., BREEN S.L., SOBOLEV A.M., et al.
2012MNRAS.420.3108G viz 15       D               1 230 132 The 6-GHz methanol multibeam maser catalogue. IV. Galactic longitudes 186°-330° including the Orion-Monoceros region. GREEN J.A., CASWELL J.L., FULLER G.A., et al.
2013MNRAS.429.3501E 55       D     X         2 61 14 Testing maser-based evolutionary schemes: a new search for 37.7-GHz methanol masers. ELLINGSEN S.P., BREEN S.L., VORONKOV M.A., et al.
2013MNRAS.431.1752U viz 16       D               1 843 133 ATLASGAL - environments of 6.7 GHz methanol masers. URQUHART J.S., MOORE T.J.T., SCHULLER F., et al.
2013ApJ...777..157H viz 16       D               1 338 56 Chemical evolution in high-mass star-forming regions: results from the MALT90 survey. HOQ S., JACKSON J.M., FOSTER J.B., et al.
2014A&A...568A..41U viz 16       D               1 10174 93 ATLASGAL - Complete compact source catalogue: 280° <l< 60°. URQUHART J.S., CSENGERI T., WYROWSKI F., et al.
2014MNRAS.443.1555U viz 16       D               4 1184 176 ATLASGAL - towards a complete sample of massive star forming clumps. URQUHART J.S., MOORE T.J.T., CSENGERI T., et al.
2015A&A...573A..82C 810       D   O X C       20 44 34 A near-infrared spectroscopic survey of massive jets towards extended green objects. CARATTI O GARATTI A., STECKLUM B., LINZ H., et al.
2015A&A...579A..91W viz 16       D               1 1616 97 ATLASGAL - Kinematic distances and the dense gas mass distribution of the inner Galaxy. WIENEN M., WYROWSKI F., MENTEN K.M., et al.
2015ApJ...815..130G viz 16       D               1 3241 88 Far-infrared dust temperatures and column densities of the MALT90 molecular clump sample. GUZMAN A.E., SANHUEZA P., CONTRERAS Y., et al.
2016ApJ...824...29S viz 16       D               1 405 25 Linking dense gas from the Milky Way to external galaxies. STEPHENS I.W., JACKSON J.M., WHITAKER J.S., et al.
2016ApJ...829...59L 16       D               2 150 12 Star formation laws in both galactic massive clumps and external galaxies: extensive study with dust coninuum, HCN (4-3), and CS (7-6). LIU T., KIM K.-T., YOO H., et al.
2016ApJ...833..248Y viz 16       D               1 93 7 Chemical evolution of red MSX sources in the southern sky. YU N. and XU J.
2017AJ....154..140W viz 16       D               1 1806 9 MALT90 kinematic distances to dense molecular clumps. WHITAKER J.S., JACKSON J.M., RATHBORNE J.M., et al.
2018MNRAS.473.1059U viz 16       D               1 8035 195 ATLASGAL - properties of a complete sample of Galactic clumps. URQUHART J.S., KONIG C., GIANNETTI A., et al.
2018MNRAS.475....2P 1276     A D S   X C F     29 12 3 Investigating the temporal domain of massive ionized jets - I. A pilot study. PURSER S.J.D., LUMSDEN S.L., HOARE M.G., et al.
2016PASA...33...30R viz 16       D               1 3253 23 Molecular Line Emission Towards High-Mass Clumps: The MALT90 Catalogue. RATHBORNE J.M., WHITAKER J.S., JACKSON J.M., et al.
2019MNRAS.484.4444U viz 17       D               1 576 19 ATLASGAL - molecular fingerprints of a sample of massive star-forming clumps. URQUHART J.S., FIGURA C., WYROWSKI F., et al.
2020MNRAS.496.2790L viz 17       D               1 165 41 ATOMS: ALMA Three-millimeter Observations of Massive Star-forming regions - I. Survey description and a first look at G9.62+0.19. LIU T., EVANS N.J., KIM K.-T., et al.
2021MNRAS.504.2405A 366       D     X   F     8 21 13 Particle acceleration and magnetic field amplification in massive young stellar object jets. ARAUDO A.T., PADOVANI M. and MARCOWITH A.
2022MNRAS.511.3463Q 45           X         1 25 5 ATOMS: ALMA Three-millimeter Observations of Massive Star-forming regions - VIII. A search for hot cores by using C2H5CN, CH3OCHO, and CH3OH lines. QIN S.-L., LIU T., LIU X., et al.
2022MNRAS.511.3618L 18       D               2 129 1 ATOMS: ALMA three-millimeter observations of massive star-forming regions - VII. A catalogue of SiO clumps from ACA observations. LIU R., LIU T., CHEN G., et al.

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