Avoidcorr: Predict avoidance power spectrum from full k power spectrum
avoidcorr is a Python package for predicting the avoidance biased 21-cm power spectrum from a full k power spectrum. It can use shape difference degeneracies from a database to estimate biased power spectra corresponding to an input power spectrum and an input arbitrary mask in k space.
Dependencies
avoidcorr requires the following Python libraries:
- numpy
- matplotlib
- scipy
- astropy
- tqdm
- multiprocessing
Installation
avoidcorr can be installed via pip:
pip install avoidcorr
Documentation
A step-by-step guide is presented in the wiki page.
1 maintainer
Release files for avoidcorr 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| avoidcorr-0.1.0.tar.gz | 8.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| avoidcorr-0.1.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 18.0 kB
Release files / avoidcorr-0.1.0.tar.gz
| Download URL | avoidcorr-0.1.0.tar.gz |
|---|---|
| Size | 8.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / avoidcorr-0.1.0-py2.py3-none-any.whl
| Download URL | avoidcorr-0.1.0-py2.py3-none-any.whl |
|---|---|
| Size | 9.9 kB |
| Tags | Python 2 Python 3 |
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poetry/2.4.1 CPython/3.12.1 Linux/4.18.0-553.117.1.el8.nci.x86_64
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