Research Data Leeds Repository
Dataset associated with 'A new mechanical stellar wind feedback model for the Rosette Nebula'
Citation
Wareing, Christopher J. and Pittard, Julian and Wright, Nicholas J. and Falle, Samuel (2018) Dataset associated with 'A new mechanical stellar wind feedback model for the Rosette Nebula'. University of Leeds. [Dataset] https://doi.org/10.5518/311
Dataset description
In the paper, we have used the AMR magnetohydrodynamic code, MG, to perform 3D magnetohydrodynamic simulations with self-gravity of stellar feedback in molecular clouds formed through the action of thermal instability in order to reproduce the Rosette Nebula. This repository contains the raw data to accompany various figures in this peer-reviewed publication in the Monthly Notices of the Royal Astronomical Society.
Keywords: | computational astrophysics, theoretical astrophysics | ||||||
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Subjects: | F000 - Physical sciences > F500 - Astronomy > F510 - Astrophysics | ||||||
Divisions: | Faculty of Engineering and Physical Sciences > School of Physics and Astronomy | ||||||
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License: | Creative Commons Attribution 4.0 International (CC BY 4.0) | ||||||
Date deposited: | 11 Jan 2018 21:05 | ||||||
URI: | https://archive.researchdata.leeds.ac.uk/id/eprint/300 | ||||||