Playground repository of the cloe organisation! 🚀

This repository serves as a sandbox for tutorials, exercises, and validation for various features, scripts, and models related to cloelib and cloelike. It provides an open space to learn quickly how to get around the cloe organisation.

To explore the contents of this repository, you may need to download synthetic example data available at Zenodo – cloe-org Community.

The data can be read using the euclidlib library.

Happy learning! 🎉

📦 Installation

To use this repository, clone it, no installation needed!

git clone https://github.com/cloe-org/playground.git
cd playground

It might require as dependencies cloelib, cloelike, euclidlib and others.

🚀 Usage

You can run the provided notebooks for experimentation!

jupyter notebook tutorials/observables/photo.ipynb
jupyter notebook tutorials/observables/spectro.ipynb
jupyter notebook tutorials/observables/bao.ipynb

📬 Contact

For any questions or discussions, feel free to open an issue or reach out to the cloe-maintainers.

📂 Structure

The repository is organized as follows:

graph LR
    root[🗂 playground]
    root__docs[docs/]
    root__exercises[exercises/]
    root__exercises__lensing_growth_factor_ipynb[lensing_growth_factor.ipynb]
    root__scripts[scripts/]
    root__scripts__sampling[sampling/]
    root__scripts__sampling__nautilus_example_py[nautilus_example.py]
    root__scripts__generate_structure_py[generate_structure.py]
    root__tutorials[tutorials/]
    root__tutorials__cosmology[cosmology/]
    root__tutorials__cosmology__cosmology_ipynb[cosmology.ipynb]
    root__tutorials__cosmology__neutrinos_ipynb[neutrinos.ipynb]
    root__tutorials__likelihood[likelihood/]
    root__tutorials__likelihood__bao_likelihood_ipynb[bao_likelihood.ipynb]
    root__tutorials__likelihood__photometric_likelihoods_ipynb[photometric_likelihoods.ipynb]
    root__tutorials__likelihood__spectroscopic_likelihoods_ipynb[spectroscopic_likelihoods.ipynb]
    root__tutorials__observables[observables/]
    root__tutorials__observables__bao_ipynb[bao.ipynb]
    root__tutorials__observables__photo_ipynb[photo.ipynb]
    root__tutorials__observables__spectro_ipynb[spectro.ipynb]
    root__tutorials__profiling[profiling/]
    root__tutorials__profiling__time_profiling_ipynb[time_profiling.ipynb]
    root__validation[validation/]
    root__validation__validation_CosmoSIS_ipynb[validation_CosmoSIS.ipynb]
    root__validation__validation_ccl_ipynb[validation_ccl.ipynb]

    root --> root__docs
    root --> root__exercises
    root__exercises --> root__exercises__lensing_growth_factor_ipynb
    root --> root__scripts
    root__scripts --> root__scripts__sampling
    root__scripts__sampling --> root__scripts__sampling__nautilus_example_py
    root__scripts --> root__scripts__generate_structure_py
    root --> root__tutorials
    root__tutorials --> root__tutorials__cosmology
    root__tutorials__cosmology --> root__tutorials__cosmology__cosmology_ipynb
    root__tutorials__cosmology --> root__tutorials__cosmology__neutrinos_ipynb
    root__tutorials --> root__tutorials__likelihood
    root__tutorials__likelihood --> root__tutorials__likelihood__bao_likelihood_ipynb
    root__tutorials__likelihood --> root__tutorials__likelihood__photometric_likelihoods_ipynb
    root__tutorials__likelihood --> root__tutorials__likelihood__spectroscopic_likelihoods_ipynb
    root__tutorials --> root__tutorials__observables
    root__tutorials__observables --> root__tutorials__observables__bao_ipynb
    root__tutorials__observables --> root__tutorials__observables__photo_ipynb
    root__tutorials__observables --> root__tutorials__observables__spectro_ipynb
    root__tutorials --> root__tutorials__profiling
    root__tutorials__profiling --> root__tutorials__profiling__time_profiling_ipynb
    root --> root__validation
    root__validation --> root__validation__validation_CosmoSIS_ipynb
    root__validation --> root__validation__validation_ccl_ipynb

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🤝 Contributing

This project follows the all-contributors specification. Contributions of any kind welcome!

Thanks goes to these wonderful people (emoji key):

Guadalupe Cañas-Herrera 💻 👀 📖 💡 🚇 🤔 🚧 📆 ✅	Chiara Moretti 💻 👀 🚧 ✅	AndreaPezzotta 💻 👀 🚧 ✅	Pedro Carrilho 💻 👀 🚧 ✅ 🤔	Santiago Casas 💻 👀	Jose Coloma Nadal 💻 ✅ 🐛	Laila Linke 💻 ✅
itutusaus 💻 👀	Filippo Oppizzi 💻 🤔 🔧	Marco Bonici 💻 🤔	Zahra Baghkhani 💻 📖 🤔 🐛	Arthur Loureiro 📖 💻 🤔	KlaraBertmann 📖 🤔	Jip de Buck 🐛
Nicolas Tessore 🐛