Journal article Open Access

Data STROOPWAFEL: Simulating rare outcomes from astrophysical populations, with application to gravitational-wave sources.

Broekgaarden, Floor S.


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3627403", 
  "title": "Data  STROOPWAFEL: Simulating rare outcomes from astrophysical populations,  with application to gravitational-wave sources.", 
  "issued": {
    "date-parts": [
      [
        2019, 
        8, 
        20
      ]
    ]
  }, 
  "abstract": "<p>The results of all simulations shown and discussed in the paper:</p>\n\n<p><a href=\"https://arxiv.org/abs/1905.00910\">STROOPWAFEL: Simulating rare outcomes from astrophysical populations, with application to gravitational-wave sources</a></p>\n\n<p>Contents:</p>\n\n<ol>\n\t<li>\n\t<p><strong>STROOPWAFEL_data_BroekgaardenEtAll.tar.gz</strong> &nbsp;# tar file with data of all Stroopwafel simulations and the &#39;traditional&#39; simulation</p>\n\t</li>\n\t<li>\n\t<p><strong>README_STROOPWAFEL.txt </strong>&nbsp;&nbsp;# this is the main README file that describes what&#39;s in the STROOPWAFEL_data_BroekgaardenEtAll.tar.gz file.</p>\n\t</li>\n</ol>\n\n<p>All simulations are made using <a href=\"http://compas.science/\">COMPAS</a><br>\n<br>\n&nbsp;</p>\n\n<ul>\n\t<li><strong>Stroopwafel demo to recreate figures from Paper:</strong></li>\n</ul>\n\n<p>A publicly available Jupyter notebook, <strong>STROOPWAFEL-DEMO_PublicData.ipynb,</strong>&nbsp;that contains&nbsp;examples on how to read and use the data&nbsp;and recreates Figures from the STROOPWAFEL paper can be found in the corresponding&nbsp;<a href=\"https://github.com/FloorBroekgaarden/STROOPWAFEL\">GitHub </a>folder in the subfolder&nbsp;<strong>code_for_plotting_figures_paper/*&nbsp;</strong>&nbsp;</p>\n\n<ul>\n\t<li><strong>Stroopwafel algorithm:</strong></li>\n</ul>\n\n<p>This&nbsp;<a href=\"https://github.com/FloorBroekgaarden/STROOPWAFEL\">GitHub </a>folder also contains the publicly available&nbsp;stroopwafel algorithm (applied to a&nbsp;toy model) which can be found in the subfolder&nbsp;<strong>algorithm/*&nbsp;</strong>as the Jupyter notebook&nbsp;<strong>STROOPWAFEL-algorithm.ipynb&nbsp;</strong></p>\n\n<p>&nbsp;</p>\n\n<p>&nbsp;</p>", 
  "author": [
    {
      "family": "Broekgaarden, Floor S."
    }
  ], 
  "version": "5", 
  "type": "article-journal", 
  "id": "3627403"
}
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