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1. MHD Turbulence in Core-Collapse Supernovae
Authors: Philipp Moesta (pmoesta@berkeley.edu), Christian Ott (cott@tapir.caltech.edu)
Paper Citation: Mösta, P., Ott, C. D., Radice, D., Roberts, L. F., Schnetter, E., & Haas, R. (2015). A large-scale dynamo and magnetoturbulence in rapidly rotating core-collapse supernovae. Nature, 528(7582), 376–379. http://dx.doi.org/10.1038/nature15755
Paper URL: http://www.nature.com/nature/journal/v528/n7582/full/nature15755.html
Paper DOI: dx.doi.org/10.1038/nature15755
Data Citation: ??
Data URL: https://go-bluewaters.ncsa.illinois.edu/globus-app/transfer?origin_id=8fc2bb2a-9712-11e5-9991-22000b96db58&origin_path=%2F
Data DOI: ??: http://dx.doi.org/doi:10.21970/N9RP4P
Data Location: Blue Waters (/projects/sciteam/jr6/share/)
Size: 90 205 TB
Code & Tools: Einstein Toolkit, see this page for list of available vis tools for this format
Jupyter Notebook: ??
The dataset is a series of snapshots in time from 4 ultra-high resolution 3D magnetohydrodynamic simulations of rapidly rotating stellar core-collapse. The 3D domain for all simulations is in quadrant symmetry with dimensions 0 < x,y < 66.5km, -66.5km < z < 66.5km. It covers the newly born neutron star and it's shear layer with a uniform resolution. The simulations were performed at 4 different resolutions [500m,200m,100m,50m]. There are a total of 350 snapshots over the simulated time of 10ms with 10 variables capturing the state of the magnetofluid. For the highest resolution simulation, a single 3D output variable for a single time is ~26GB in size. The entire dataset is ~90TB ~205TB in size. The highest resolution simulation used 60 million CPU hours on BlueWaters. The dataset may be used to analyze the turbulent state of the fluid and perform analysis going beyond the published results in Nature doi:10.1038/nature15755.
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Paper Citation: Norman, B. W. O. and J. H. W. and H. X. and M. L. (2015). Probing the Ultraviolet Luminosity Function of the Earliest Galaxies with the Renaissance Simulations. The Astrophysical Journal Letters, 807(1), L12.
Paper URL: http://iopscience.iop.org/article/10.1088/2041-8205/807/1/L12/meta;jsessionid=40CF566DDA56AD74A99FE108F573F445.c1.iopscience.cld.iop.org
Paper DOI: dx.doi.org/10.1088/2041-8205/807/1/L12
Data URL:
Data Citation: ??
Data DOI: ??
Size: 89 TB
Code & Tools: Enzo
Jupyter Notebook: http://yt-project.org/docs/dev/cookbook/cosmological_analysis.html
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Paper Citation: Warren, M. S., Friedland, A., Holz, D. E., Skillman, S. W., Sutter, P. M., Turk, M. J., & Wechsler, R. H. (2014). Dark Sky Simulations Collaboration. Zenodo. https://doi.org/10.5281/zenodo.10777
Paper URL: https://zenodo.org/record/10777#.V_VvKtwcK1M, https://arxiv.org/abs/1407.2600
Paper DOI: http://dx.doi.org/10.5281/zenodo.10777
Data Citation: Warren, M. S., Friedland, A., Holz, D. E., Skillman, S. W., Sutter, P. M., Turk, M. J., & Wechsler, R. H. (2014). Dark Sky Simulations Collaboration. Zenodo. https://doi.org/10.5281/zenodo.10777
Data URL:
Data DOI: https://doi.org/10.5281/zenodo.10777 (Although this is classified as a report in Zenodo, the authors intended this to be the DOI for the dataset)
Size: 31 TB
Code & Tools: https://bitbucket.org/darkskysims/darksky_tour/
Jupyter Notebook: https://girder.hub.yt/#user/570bd8fc2f2b14000176822c/folder/5820b9c09ea95c00014c71a1
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Here is my PPT version of my napkin sketch for the SC demo. Also context on where the demo product fits in the story. Comments, please!
Presentation v1
Please give me your feedback! Graphics executed to the edge of my abilities and patience. See presentation notes for script written so far.