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  • Filament identification thr... Filament identification through mathematical morphology
    Koch, Eric W; Rosolowsky, Erik W Monthly notices of the Royal Astronomical Society, 10/2015, Volume: 452, Issue: 4
    Journal Article
    Peer reviewed
    Open access

    We present a new algorithm for detecting filamentary structure FilFinder. The algorithm uses the techniques of mathematical morphology for filament identification, presenting a complementary approach ...
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  • The varying mass distributi... The varying mass distribution of molecular clouds across M83
    Freeman, Pamela; Rosolowsky, Erik; Kruijssen, J. M. Diederik ... Monthly notices of the Royal Astronomical Society, 06/2017, Volume: 468, Issue: 2
    Journal Article
    Peer reviewed
    Open access

    Abstract The work of Adamo et al. showed that the mass distributions of young massive stellar clusters were truncated above a maximum-mass scale in the nearby galaxy M83 and that this truncation mass ...
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  • THE BOLOCAM GALACTIC PLANE ... THE BOLOCAM GALACTIC PLANE SURVEY. XIV. PHYSICAL PROPERTIES OF MASSIVE STARLESS AND STAR-FORMING CLUMPS
    Svoboda, Brian E.; Shirley, Yancy L.; Battersby, Cara ... The Astrophysical journal, 05/2016, Volume: 822, Issue: 2
    Journal Article
    Peer reviewed
    Open access

    ABSTRACT We sort 4683 molecular clouds between 10° < < 65° from the Bolocam Galactic Plane Survey based on observational diagnostics of star formation activity: compact 70 m sources, mid-IR ...
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  • Relationship between the li... Relationship between the line width of the atomic and molecular ISM in M33
    Koch, Eric W; Rosolowsky, Erik W; Schruba, Andreas ... Monthly notices of the Royal Astronomical Society, 02/2019, Volume: 485, Issue: 2
    Journal Article
    Peer reviewed
    Open access

    ABSTRACT We investigate how the spectral properties of atomic (H i) and molecular (H2) gas, traced by CO(2−1) , are related in M33 on 80 pc scales. We find the H i  and CO(2−1)  velocity at peak ...
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  • TurbuStat: Turbulence Stati... TurbuStat: Turbulence Statistics in Python
    Koch, Eric W.; Rosolowsky, Erik W.; Boyden, Ryan D. ... The Astronomical journal, 07/2019, Volume: 158, Issue: 1
    Journal Article
    Peer reviewed
    Open access

    We present TurbuStat (v1.0): a python package for computing turbulence statistics in spectral-line data cubes. TurbuStat includes implementations of 14 methods for recovering turbulent properties ...
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  • Cloud-scale Molecular Gas P... Cloud-scale Molecular Gas Properties in 15 Nearby Galaxies
    Sun, Jiayi; Leroy, Adam K.; Schruba, Andreas ... The Astrophysical journal, 06/2018, Volume: 860, Issue: 2
    Journal Article
    Peer reviewed
    Open access

    We measure the velocity dispersion, , and surface density, , of the molecular gas in nearby galaxies from CO spectral line cubes with spatial resolution 45-120 pc, matched to the size of individual ...
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  • Identifying tools for compa... Identifying tools for comparing simulations and observations of spectral-line data cubes
    Koch, Eric W; Ward, Caleb G; Offner, Stella ... Monthly notices of the Royal Astronomical Society, 10/2017, Volume: 471, Issue: 2
    Journal Article
    Peer reviewed
    Open access

    Abstract We present a statistical framework to compare spectral-line data cubes of molecular clouds and use the framework to perform an analysis of various statistical tools developed from methods ...
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  • VARIATIONS IN THE STAR FORM... VARIATIONS IN THE STAR FORMATION EFFICIENCY OF THE DENSE MOLECULAR GAS ACROSS THE DISKS OF STAR-FORMING GALAXIES
    Usero, Antonio; Leroy, Adam K; Walter, Fabian ... The Astronomical journal, 10/2015, Volume: 150, Issue: 4
    Journal Article
    Peer reviewed
    Open access

    We present a new survey of HCN(1-0) emission, a tracer of dense molecular gas, focused on the little-explored regime of normal star-forming galaxy disks. Combining HCN, CO, and infrared (IR) ...
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