Journal article Open Access

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

Broekgaarden, Floor S.

The results of all simulations shown and discussed in the paper:

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

Contents:

  1. STROOPWAFEL_data_BroekgaardenEtAll.tar.gz  # tar file with data of all Stroopwafel simulations and the 'traditional' simulation

  2. README_STROOPWAFEL.txt   # this is the main README file that describes what's in the STROOPWAFEL_data_BroekgaardenEtAll.tar.gz file.

All simulations are made using COMPAS

 

  • Stroopwafel demo to recreate figures from Paper:

A publicly available Jupyter notebook, STROOPWAFEL-DEMO_PublicData.ipynb, that contains examples on how to read and use the data and recreates Figures from the STROOPWAFEL paper can be found in the corresponding GitHub folder in the subfolder code_for_plotting_figures_paper/*  

  • Stroopwafel algorithm:

This GitHub folder also contains the publicly available stroopwafel algorithm (applied to a toy model) which can be found in the subfolder algorithm/* as the Jupyter notebook STROOPWAFEL-algorithm.ipynb 

 

 

Files (627.7 MB)
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README_STROOPWAFEL.txt
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STROOPWAFEL_data_BroekgaardenEtAll.tar.gz
md5:f4a200227a1bdd91e5007c7ab89b04bd
627.7 MB Download
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