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28 lines
1.1 KiB
Text
28 lines
1.1 KiB
Text
After compiling, go to the pipeline directory.
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Create a dataset parameter file. Look at datasets/multidark.py for
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an example. Describe the simulation, where to put outputs, how many
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redshift slices, subvolumes, etc. etc.
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prepareCatalogs will produce a pipeline script for each
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subsampling you choose. If you have multiple redshift particle files,
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and choose multiple slices and/or subdivisions, they will be packaged
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in the same pipeline script.
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Run "./generateCatalog.py [name of pipeline script]" for each script
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written by prepareGadgetCatalog. This will run generateMock, zobov,
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and pruneVoids. At the end of it, you should have a void catalog for
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each redshift, slice, and subdivision.
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Check the logfiles for any error messages.
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See the README of the public void catalog for the format of the
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outputs.
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Please do not change the outputs of pruneVoids etc. without
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discussion, since further analysis relies on the current formats.
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If you're wondering why these scripts are rather complex, it's because
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it can also support A-P analysis, which is much more complicated :)
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Good luck!
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