21cmPSDenoiser is a package that provides a score-based diffusion model trained on 21cmFAST simulations that is capabale of significantly reducing the effect of sample variance on individual 21-cm power spectrum (PS) realisations. In Breitman+25, we find that it’s better to reproduce the 21-cm PS calculation as closely as possible to the training set for optimal performance. This is especially true when applying 21cmPSDenoiser on 21-cm PS from different simulators and / or physical models. The 21-cm power spectra in the training set have been computed with tuesday, a wrapper around powerbox. In the near future, we will provide a script to calculate the 21-cm PS from a lightcone in the exact same way as was done in the training set.
The package can be installed with pip via pip install 21cmPSDenoiser and tutorials are in docs/tutorials.
If you use this code in your research, please cite Breitman+25.
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Release files for 21cmPSDenoiser 1.0.2
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Source distribution (sdist)
| File | Size | Uploaded | |
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| 21cmpsdenoiser-1.0.2.tar.gz | 74.5 MB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 21cmpsdenoiser-1.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 108.5 MB
Release files / 21cmpsdenoiser-1.0.2.tar.gz
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