Journal ArticleDOI
Interstellar bubbles. II - Structure and evolution
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In this article, the detailed structure of the interaction of a strong stellar wind with the interstellar medium is presented, including the effects of thermal conduction between the hot interior and the cold shell of swept-up interstellar matter.Abstract:
The detailed structure of the interaction of a strong stellar wind with the interstellar medium is presented. First, an adiabatic similarity solution is given which is applicable at early times. Second, a similarity solution is derived which includes the effects of thermal conduction between the hot (about 1 million K) interior and the cold shell of swept-up interstellar matter. This solution is then modified to include the effects of radiative energy losses. The evolution of an interstellar bubble is calculated, including the radiative losses. The quantitative results for the outer-shell radius and velocity and the column density of highly ionized species such as O VI are within a factor 2 of the approximate results of Castor, McCray, and Weaver (1975). The effect of stellar motion on the structure of a bubble, the hydrodynamic stability of the outer shell, and the observable properties of the hot region and the outer shell are discussed.read more
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LOOPS, DRIPS, AND WALLS IN THE GALACTIC CHIMNEY GSH 277+00+36 N. M. McClure-Griffiths 1
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SILCC VI - Multiphase ISM structure, stellar clustering, and outflows with supernovae, stellar winds, ionizing radiation, and cosmic rays
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TL;DR: In this article, the authors investigate the impact of stellar feedback on the self-gravitating ISM with magnetic fields, CR advection and diffusion and non-equilibrium chemical evolution.
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X-Ray Emission from Wind-blown Bubbles. III. ASCA SIS Observations of NGC 6888
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The Milky Way Project: Leveraging Citizen Science and Machine Learning to Detect Interstellar Bubbles
Christopher N. Beaumont,Alyssa A. Goodman,Jonathan Williams,Sarah Kendrew,Robert Mark Simpson +4 more
TL;DR: Brutus as mentioned in this paper is based on the Random Forest algorithm, and uses bubbles identified by >35,000 citizen scientists from the Milky Way Project to discover the identifying characteristics of bubbles in images from the Spitzer Space Telescope.