Citations#

If you use the acm package in your research, please cite the relevant papers:

ACM Pipeline#

Note

The ACM pipeline paper is in preparation. For now, please cite the individual statistics and methods you use.

Statistics and Methods#

If you use specific statistics from this package, please cite the relevant papers:

Density-Split Statistics#

If you use the density-split clustering statistics:

@article{paillas2023,
    title={Cosmological constraints from the density-split clustering of BOSS galaxies},
    author={Paillas, Enrique and others},
    journal={Monthly Notices of the Royal Astronomical Society},
    year={2023}
}

Simulation-Based Inference#

If you use the neural network emulators and inference methods:

@article{cuesta-lazaro2023,
    title={Simulation-based inference of cosmology and galaxy formation from DESI},
    author={Cuesta-Lazaro, Carolina and others},
    journal={arXiv preprint},
    year={2023}
}

AbacusSummit Simulations#

If you use galaxy catalogs generated with AbacusHOD on AbacusSummit:

@article{maksimova2021,
    title={AbacusHOD: a highly efficient method for mock galaxy generation},
    author={Maksimova, Natalie A and others},
    journal={Monthly Notices of the Royal Astronomical Society},
    volume={508},
    pages={4017--4037},
    year={2021}
}

@article{garrison2021,
    title={The Abacus Cosmos: A Suite of Cosmological N-body Simulations},
    author={Garrison, Lehman H and others},
    journal={The Astrophysical Journal Supplement Series},
    volume={258},
    pages={11},
    year={2021}
}

Dependencies#

Please also consider citing the key dependencies used by this package:

  • sunbird: Neural network emulation and inference (GitHub)

  • pycorr: Two-point correlation function estimation (GitHub)

  • pypower: Power spectrum estimation (GitHub)

  • PolyBin3D: Bispectrum estimation (GitHub)

See the Dependencies page for a complete list of packages used by acm.

How to Cite#

We recommend citing this package as:

ACM Topical Group (2024-2025). Alternative Clustering Methods (ACM) Pipeline. 
GitHub repository: https://github.com/epaillas/acm

See also

For information on contributors to this project, see the Contributors page.