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Dataset associated with 'Magnetohydrodynamic simulations of mechanical stellar feedback in a sheet-like molecular cloud'

Wareing, Christopher and Pittard, Julian and Falle, Samuel (2016) Dataset associated with 'Magnetohydrodynamic simulations of mechanical stellar feedback in a sheet-like molecular cloud'. University of Leeds. [Dataset] https://doi.org/10.5518/114

Dataset description

Paper abstract: We have used the AMR hydrodynamic code, MG, to perform 3D magnetohydrodynamic simulations with self-gravity of stellar feedback in a sheet-like molecular cloud formed through the action of the thermal instability. We simulate the interaction of the mechanical energy input from a 15 solar mass star and a 40 solar mass star into a 100 parsec-diameter 17000 solar mass cloud with a corrugated sheet morphology that in projection appears filamentary. The stellar winds are introduced using appropriate Geneva stellar evolution models. In the 15 solar mass star case, the wind forms a narrow bipolar cavity with minimal effect on the parent cloud. In the 40 solar mass star case, the more powerful stellar wind creates a large cylindrical cavity through the centre of the cloud. After 12.5 million years and 4.97 million years respectively, the massive stars explode as supernovae (SNe). In the 15 solar mass star case, the SN material and energy is primarily deposited into the molecular cloud surroundings over 100,000 years before the SN remnant escapes the cloud. In the 40 solar mass star case, a significant fraction of the SN material and energy rapidly escapes the molecular cloud along the wind cavity in a few tens of kiloyears. Both SN events compress the molecular cloud material around them to higher densities (so may trigger further star formation), and strengthen the magnetic field, typically by factors of 2-3 but up to a factor of 10. Our simulations are relevant to observations of bubbles in flattened ring-like molecular clouds and bipolar HII regions. Data repository: This repository contains the raw data accompanying each figure in this publication.

Additional information: The associated paper was accepted for publication in MNRAS 2016 November 16
Keywords: computational astrophysics, theoretical astrophysics
Subjects: F000 - Physical sciences > F500 - Astronomy > F510 - Astrophysics
Divisions: Faculty of Mathematics and Physical Sciences > School of Mathematics > Department of Applied Mathematics
Faculty of Mathematics and Physical Sciences > School of Physics and Astronomy
Related resources:
LocationType
https://arxiv.org/abs/1605.04706Publication
http://dx.doi.org/10.1093/mnras/stw2990Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 09 Nov 2016 10:43
URI: http://archive.researchdata.leeds.ac.uk/id/eprint/91

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