visualization notebook
Eric West and collaborator’s prepared one more Jupyter notebook-based tutorial, hosted here:
https://github.com/EricJWest/ETKNotebooks/blob/master/VisualizingOutput-WaveMoL.ipynb
According to Eric’s email:
This one is on understanding and visualizing Cactus output files. So it's more about post-processing as opposed to Cactus itself. But the two are coupled. If you don't understand what Cactus is producing, and how to control it, you can't do the post-processing or visualization tasks that you want to do. So I try to explain a little about what Cactus is doing, the options you have, the structure of output files, and so on.
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Two disclaimers: the tutorial does not address how to deal with Carpet output files, and it does not address how to handle output from multiple processors.
keyword: documentation
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reporter See the discussion here: https://docs.google.com/document/d/1JT7z1UA9DtXaBkGQh08GLRrAKBFyBVjRW7ruFHhkdj4/edit?usp=sharing
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How to read Cactus output is indeed not trivial and while we do list a set of tools to read and analyze data on https://docs.einsteintoolkit.org/et-docs/Analysis_and_post-processing there has been a desire for more detailed instructions and an officially “blessed” framework.