https://github.com/tmcclintock/splashback_statistics

Basic tools for investigating catalogs with splashback halos.
https://github.com/tmcclintock/splashback_statistics

Last synced: 26 days ago
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Basic tools for investigating catalogs with splashback halos.

• Host: GitHub
• URL: https://github.com/tmcclintock/splashback_statistics
• Owner: tmcclintock
• License: bsd-3-clause
• Created: 2018-12-04T01:13:56.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2019-11-13T21:26:19.000Z (about 5 years ago)
• Last Synced: 2024-10-27T11:08:58.473Z (2 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 171 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Splashback_statistics

A set of basic tools to read in halo catalogs that have additional splashback related information. These catalogs are transformed into data frames, and one can calculate basic statistics of the catalog, for example the correlation of the splashback features with other halo properties.

For now, the only thing implemented is the `Catalog` object, which reads in a halo catalog and stores it in a `pandas.dataFrame`. It adds columns of interest including concentrations, peak heights, and ratios (e.g. `Rsp_mean/R200b`).

If you want to create Catalog objects of all the halo catalogs, you must have access to Benedikt Diemer's full halo catalog files, and they should be put in this directory.

See `Example.ipynb` for an example of how to use the `Catalog` object.