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Binder License: MIT Python Repo Size

gce-gp

Code for Inferring the GCE Morphology with Gaussian Processes paper.

Installation

Run the environment.yml file by running the following command on the main repo directory:

conda env create

The installation works for conda==4.12.0. This will install all packages needed to run the code on a CPU with jupyter.

If you want to run this code with a CUDA GPU, you will need to download the appropriate jaxlib==0.4.13 version. For example, for my GPU running on CUDA==12.3, I would run:

pip install jaxlib==0.4.13+cuda12.cudnn89

The key to using this code directly would be to retain the jax and jaxlib versions.

Reproducing Figures

  1. Download data from this Zenodo Dataset
  2. Create the directory figures/data
  3. Generate plots figures using figures/paper_figures_v02_MB.ipynb

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Code for Inferring the GCE Morphology with Gaussian Processes paper.

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