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CherenkovDeconvolution.py

Deconvolution algorithms for Cherenkov astronomy and other use cases.

Getting Started

This package is documented on our deconvolution website. You can install it via the provided Makefile. Running make without arguments will also run the test cases.

For a quick start, take a look at the Jupyter notebooks in the examples directory. Running make doc will generate the API documentation with Sphinx.

CherenkovDeconvolution.py was originally developed in Julia, as CherenkovDeconvolution.jl.

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Deconvolution algorithms for Cherenkov astronomy and other use cases

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  • Python 99.1%
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