Nakashima, Jun-ichi., Ladeyschikov, Dmitry A., Sobolev, Andrej M., Zhang, Yong., Hsia, Chih-Hao., Yung, Bosco H. K. Wide Field CO Mapping in the Region of IRAS 19312+1950, 2016, The Astrophysical Journal, 825, 13

ADS: The Astrophysical Journal, 825, 13 (2016)

iopscience: doi:10.3847/0004-637X/825/1/16

Abstract
We report the results of wide field CO mapping in the region of IRAS 19312+1950. This Infrared Astronomical Satellite (IRAS) object exhibits SiO/H2O/OH maser emission, and is embedded in a chemically rich molecular component, the origin of which is still unknown. In order to reveal the entire structure and gas mass of the surrounding molecular component for the first time, we have mapped a wide region around IRAS 19312+1950 in the 12CO J = 1-0, 13CO J = 1-0 and C18O J = 1-0 lines using the Nobeyama 45 m telescope. In conjunction with archival CO maps, we investigated a region up to 20‧ × 20‧ in size around this IRAS object. We calculated the CO gas mass assuming local thermal equilibrium, the stellar velocity through the interstellar medium assuming an analytic model of bow shock, and the absolute luminosity, using the latest archival data and trigonometric parallax distance. The derived gas mass (225 M ⊙-478 M ⊙) of the molecular component and the relatively large luminosity (2.63 × 104 L ⊙) suggest that the central SiO/H2O/OH maser source is a red supergiant rather than an asymptotic giant branch (AGB) star or post-AGB star.

Nakashima, Jun-ichi., Ladeyschikov, Dmitry A., Sobolev, Andrej M., Zhang, Yong., Hsia, Chih-Hao., Yung, Bosco H. K. Wide Field CO Mapping in the Region of IRAS 19312+1950, 2016, The Astrophysical Journal, 825, 13

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Abbott, B. P., (Authors)., Saz Parkinson, P. M., (Authors)., Rosswog, S. Supplement: “Localization and Broadband Follow-up of the Gravitational-wave Transient GW150914” (2016, ApJL, 826, L13), 2016, The Astrophysical Journal Supplement Series, 225, 8

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Saz Parkinson, P. M., Xu, H., Yu, P. L. H., Salvetti, D., Marelli, M., Falcone, A. D. Classification and Ranking of Fermi LAT Gamma-ray Sources from the 3FGL Catalog using Machine Learning Techniques, 2016, The Astrophysical Journal, 820, 8

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