Spectral line surveys of 30 regions

DOI

Spectral line surveys are an indispensable tool for exploring the physical and chemical evolution of astrophysical environments due to the vast amount of data that can be obtained in a relatively short amount of time. We present deep, broadband spectral line surveys of 30 interstellar clouds using two broadband {lambda}=1.3mm receivers at the Caltech Submillimeter Observatory. This information can be used to probe the influence of physical environment on molecular complexity. We observed a wide variety of sources to examine the relative abundances of organic molecules as they relate to the physical properties of the source (i.e., temperature, density, dynamics, etc.). The spectra are highly sensitive, with noise levels <=25mK at a velocity resolution of ~0.35km/s. In the initial analysis presented here, column densities and rotational temperatures have been determined for the molecular species that contribute significantly to the spectral line density in this wavelength regime. We present these results and discuss their implications for complex molecule formation in the interstellar medium.

Cone search capability for table J/ApJS/232/3/table1 (The 30 star-forming region positions, and velocities used in the observations, and source physical parameters)

Identifier
DOI http://doi.org/10.26093/cds/vizier.22320003
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/ApJS/232/3
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/232/3
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJS/232/3
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/ApJS/232/3
Provenance
Creator Widicus Weaver S.L.; Laas J.C.; Zou L.; Kroll J.A.; Rad M.L.; Hays B.M.,Sanders J.L.; Lis D.C.; Cross T.N.; Wehres N.; McGuire B.A.; Sumner M.C.
Publisher CDS
Publication Year 2017
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; Interdisciplinary Astronomy; Interstellar medium; Natural Sciences; Observational Astronomy; Physics