Constrain foreground and 21 cm feature parameters with EDGES data.
Features
Uses yabf as its Bayesian framework
Both emcee-based and polychord-based fits possible
Range of foreground models available (eg. LinLog, LogLog, PhysicalLin)
Supports arbitrary hierarchical models, and parameter dependencies.
Installation
You should just be able to do pip install . in the top-level directory, with all necessary dependencies automatically installed.
1 maintainer
Metadata
1 maintainer
Release files for edges-estimate 1.3.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| edges_estimate-1.3.0.tar.gz | 5.0 MB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| edges_estimate-1.3.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 5.0 MB
Release files / edges_estimate-1.3.0.tar.gz
| Download URL | edges_estimate-1.3.0.tar.gz |
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| Size | 5.0 MB |
| Tags | Source |
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Release files / edges_estimate-1.3.0-py2.py3-none-any.whl
| Download URL | edges_estimate-1.3.0-py2.py3-none-any.whl |
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| Size | 23.4 kB |
| Tags | Python 2 Python 3 |
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