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A high-performance program simulates and fits response of XENON

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Appletree

A high-Performance Program simuLatEs and fiTs REsponse of xEnon.

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Installation and Set-Up

Regular installation:

With cpu support:

pip install appletree jax[cpu]

With CUDA Toolkit 11.2 support:

pip install appletree jax[cuda]==0.3.15 -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html

With CUDA Toolkit 12.1 support:

pip install appletree jax[cuda12_pip] -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html

Developer setup:

Clone the repository:

git clone https://github.com/XENONnT/appletree
cd appletree

To install the package and requirements in your environment, add --user in the above commands.

To install appletree in editable mode, insert --editable argument after install in the above pip install commands.

For example, to install in your environment and in editable mode with CUDA Toolkit 12.1 support:

pip install --editable . jax[cuda]==0.3.15 -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html --user

Then you are now good to go!

Usage

The best way to start with the appletree package is to have a look at the tutorial notebooks.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.