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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.

  3. STROOPWAFEL-DEMO_PublicData.ipynb #jupyter notebook that contains examples on how to read and use the data

  4. STROOPWAFEL-algorithm.ipynb # Jupyter notebook that contains the stroopwafel algorithm (applied to a toy model)

All simulations are made using COMPAS

 

see also the GitHub folder

 

Files (628.3 MB)
Name Size
README_STROOPWAFEL.txt
md5:66eb6582a3dfd406ad52792bb1800632
3.8 kB Download
STROOPWAFEL-algorithm.ipynb
md5:efccc588bba1e5b726212d760064821d
189.4 kB Download
STROOPWAFEL-DEMO_PublicData.ipynb
md5:696315ea6d3f58e1055cef905e204a46
409.8 kB Download
STROOPWAFEL_data_BroekgaardenEtAll.tar.gz
md5:f4a200227a1bdd91e5007c7ab89b04bd
627.7 MB Download
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