https://github.com/tmcclintock/massbias

An end-to-end tool that takes a halo catalog a produces a mass bias $$P(M_{\rm true} | O)$$, where $$O$$ is some observable.
https://github.com/tmcclintock/massbias

Last synced: 26 days ago
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An end-to-end tool that takes a halo catalog a produces a mass bias $$P(M_{\rm true} | O)$$, where $$O$$ is some observable.

• Host: GitHub
• URL: https://github.com/tmcclintock/massbias
• Owner: tmcclintock
• License: mit
• Created: 2018-10-08T16:37:54.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-04-15T20:25:20.000Z (over 4 years ago)
• Last Synced: 2024-10-27T11:08:56.912Z (2 months ago)
• Language: Jupyter Notebook
• Size: 32.7 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# MassBias

An end-to-end tool that takes a halo catalog a produces a mass bias P(M_true| O), where O is some cluster observable (mass, richness, Compton Y, etc.).

For details about what this tool does, see `docs/info.pdf`.

For my benefit, the order to run these as scripts are: catalog.py, converter.py, and then fitter.py.