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Jason Glenn

Researcher at University of Colorado Boulder

Publications -  339
Citations -  28559

Jason Glenn is an academic researcher from University of Colorado Boulder. The author has contributed to research in topics: Galaxy & Star formation. The author has an hindex of 81, co-authored 333 publications receiving 27203 citations. Previous affiliations of Jason Glenn include University of Arizona & Goddard Space Flight Center.

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The Bolocam 1.1 mm Lockman Hole Galaxy Survey: SHARC II 350 micron Photometry and Implications for Spectral Models, Dust Temperatures, and Redshift Estimation

TL;DR: In this paper, the authors present 350 micron photometry of all 17 galaxy candidates in the Lockman Hole detected in a 1.1 mm Bolocam survey, and find that the far-infrared to radio relation for star-forming ULIRGs systematically overpredicts the radio luminosities and overestimates redshifts on the order of Delta z ~ 1, whereas redshifting based on either on submillimeter data alone or the 1.6 micron stellar bump and PAH features are more accurate.
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Arp 220: New Observational Insights into the Structure and Kinematics of the Nuclear Molecular Disks and Surrounding Gas

TL;DR: In this paper, the ALMA cycle 3 observations of CO and SiO were compared to non-LTE radiative transfer models created using the Line Modeling Engine (LIME) for simple gas dynamics to gain insight into how physical parameters, such as rotational velocity, turbulent velocity, gas temperature, dust temperature, and gas mass can reproduce the observed kinematic and spatial features.
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NGC 1266: Characterization of the Nuclear Molecular Gas in an Unusual SB0 Galaxy

TL;DR: In this paper, spectrally resolved CO J = 5-4 to J = 8-7 lines from Herschel Space Observatory HIFI observations are combined with ground-based observations and high-J Herschel SPIRE observations to decompose the nuclear and putative outflow velocity components and to model the molecular gas to quantify its properties.
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Kinetic inductance detectors for the Origins Space Telescope

TL;DR: It is shown how KIDs can meet the sensitivity target, focusing on two existing architectures that together demonstrate the key necessary attributes, and a straightforward combination of the elements of these already-demonstrated devices points to a low-volume design that is expected to meet the Origins sensitivity targets.