# Alternative Clustering Methods ```{warning} This documentation is still under construction. Please check back later for more information. ``` ## What is the ACM Pipeline ? The Alternative Clustering Methods (ACM) pipeline is a Python package that provides a set of tools for **beyond-2pt galaxy clustering** statistics for DESI. It allows the training of several simulation-based theoretical models to emulate the galaxy clustering statistics (see [Pipeline](pipeline/overview)). It contains several clustering methods that can be used to estimate the galaxy clustering statistics, such as densitysplit, bispectrum, Minkowski functionals and more (see [Statistics](pipeline/statistics)). ## Why are we doing this ? The **non-Gaussianity** of the density field at small scales limits the amount of information we can access with the galaxy power spectrum. Alternative clustering statistics can access this information at a limited computational cost, but most of them **lack analytic theory models**. ## How are we doing this ? We train **neural networks** on clustering statistics measured on thousands of **Abacus-based mocks**, learning about how the clustering responds to cosmology and the galaxy-halo connection. ```{toctree} :maxdepth: 2 WIP ``` ```{toctree} :maxdepth: 2 :caption: Getting Started installation ``` ```{toctree} :maxdepth: 2 :caption: The pipeline pipeline/overview pipeline/galaxy_halo pipeline/statistics pipeline/emulator pipeline/inference ``` ```{toctree} :hidden: :maxdepth: 1 :caption: Code structure code/overview code/projects code/data code/io code/utils ``` ```{toctree} :maxdepth: 1 :caption: Statistics statistics/densitysplit statistics/mst ``` ```{toctree} :hidden: :maxdepth: 1 :caption: Tutorials and examples notebooks/summary_coords notebooks/observables notebooks/densitysplit ``` ```{toctree} :maxdepth: 1 :caption: Credits credits/contributors credits/dependencies credits/citations ``` :::{note} 🔎 See an issue with the documentation? Feel free to open an issue or a pull request on the [GitHub repository](https://github.com/epaillas/acm) to help us improve the documentation ! ::: ```{toctree} :hidden: :maxdepth: 2 :caption: API Reference source/api API_LIMITATIONS ```