Now showing items 1-4 of 4

    • The Bones of the Milky Way 

      Goodman, Alyssa; Alves, Joao; Beaumont, Christopher N; Benjamin, Robert A.; Borkin, Michelle A; Burket, Andreas; Dame, Thomas M.; Jackson, James; Kauffmann, Jens; Robitaille, Thomas (American Astronomical Society, 2013)
      The very long, thin infrared dark cloud "Nessie" is even longer than had been previously claimed, and an analysis of its Galactic location suggests that it lies directly in the Milky Way’s mid-plane, tracing out a highly ...
    • The Milky Way Project: Leveraging Citizen Science and Machine Learning to Detect Interstellar Bubbles 

      Beaumont, Christopher N; Goodman, Alyssa; Kendrew, Sarah; Williams, Jonathan P.; Simpson, Robert (IOP Publishing, 2014)
      We present Brut, an algorithm to identify bubbles in infrared images of the Galactic midplane. Brut is based on the Random Forest algorithm, and uses bubbles identified by >35,000 citizen scientists from the Milky Way ...
    • Quantifying Observational Projection Effects Using Molecular Cloud Simulations 

      Beaumont, Christopher N; S. R. Offner, Stella; Shetty, Rahul; Glover, Simon C. O.; Goodman, Alyssa (American Astronomical Society, 2013)
      The physical properties of molecular clouds are often measured using spectral-line observations, which provide the only probes of the clouds' velocity structure. It is hard, though, to assess whether and to what extent ...
    • A Simple Perspective on the Mass-Area Relationship in Molecular Clouds 

      Beaumont, Christopher N; Goodman, Alyssa; Alves, João F.; Lombardi, Marco; Román-Zúñiga, Carlos G.; Kauffmann, Jens; Lada, Charles J. (Oxford University Press, 2012)
      Despite over 30 yr of study, the mass–area relationship within and among clouds is still poorly understood both observationally and theoretically. Modern extinction data sets should have sufficient resolution and dynamic ...