4.6 Article

Mass Assembly of Stellar Systems and Their Evolution with the SMA (MASSES)-1.3 mm Subcompact Data Release

期刊

出版社

IOP PUBLISHING LTD
DOI: 10.3847/1538-4365/aacda9

关键词

galaxies: star formation; ISM: clouds; ISM: jets and outflows; stars: formation; stars: protostars; surveys

资金

  1. NASA [NNX14AG96G]
  2. Russian Ministry of Education and Science [3.5602.2017]
  3. Smithsonian Institution
  4. Academia Sinica

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We present the Mass Assembly of Stellar Systems and their Evolution with the SMA (MASSES) survey, which uses the Submillimeter Array (SMA) interferometer to map the continuum and molecular lines for all 74 known Class 0/I protostellar systems in the Perseus molecular cloud. The primary goal of the survey is to observe an unbiased sample of young protostars in a single molecular cloud so that we can characterize the evolution of protostars. This paper releases the MASSES 1.3 mm data from the subcompact configuration (similar to 4 '' or similar to 1000 au resolution), which is the SMA's most compact array configuration. We release both uv visibility data and imaged data for the spectral lines CO(2-1), (CO)-C-13(2-1), (CO)-O-18(2-1), and N2D+(3-2), as well as for the 1.3 mm continuum. We identify the tracers that are detected toward each source. We also show example images of continuum and CO(2-1) outflows, analye (CO)-O-18(2-1) spectra, and present data from the SVS 13 star-forming region. The calculated envelope masses from the continuum show a decreasing trend with bolometric temperature (a proxy for age). Typical (CO)-O-18(2-1) line widths are 1.45 km s(-1), which is higher than the (CO)-O-18 line widths detected toward Perseus filaments and cores. We find that N2D+(3-2) is significantly more likely to be detected toward younger protostars. We show that the protostars in SVS 13 are contained within filamentary structures as traced by (CO)-O-18(2-1) and N2D+(3-2). We also present the locations of SVS 13A's high-velocity (absolute line-of-sight velocities >150 km s(-1) ) red and blue outflow components. Data can be downloaded from https://dataverse. harvard.edu/dataverse/MASSES.

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