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License: MIT License
Companion tutorials for the NANOGrav 15-year GWB analysis
License: MIT License
In the commands in the README file for the case where you are using miniconda, h5pulsar and ipympl need to be included. Even then, the kernel associated with my environment, did not appear automatically in the "Change Kernel" list in Jupyter. I don't know if this is a flaw in my environment setup or some other step is always needed. I was able to get Jupyter to see it by saying python -m ipykernel install --user --name=...
Figure 1, upper right appears to have some issue with the plot as can be seen here and is attached below. I haven't tracked down the exact cause of this yet, but I suspect it is an issue in the optimal_statistic_covariances.py
file.
(198.03261446315148, 45.16748075936892)
returned by bfacs.log10_bf
means that the Bayes factor in favor of model_3a is 198 +/- 45.A declarative, efficient, and flexible JavaScript library for building user interfaces.
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