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Three-Point Clustering Measurements in LSS

Triumvirate is a Python/C++ package for measuring three-point (and two-point) clustering statistics in large-scale structure (LSS) cosmological analyses.

Tip

  • The scientific context is explained in Background.

  • Installation instructions can be found in Installation.

  • To get started quickly, read Tutorials.

  • For full API, please refer to API Reference.

  • Frequently asked questions are answered in FAQ.

Attribution#

JOSS arXiv MNRAS MNRAS


To acknowledge the use of Triumvirate in your published research, please cite the companion journal article [Wang et al., 2023] and related publications [Sugiyama et al., 2019, Sugiyama et al., 2018] with links above containing the relevant information in the BibTeX format.

Acknowledgement#

ERC


This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement ID: 853291).

Key underlying numerical algorithms were originally developed by Naonori S Sugiyama, and are available in the GitHub repository hitomi.

We thank the JOSS reviewers, William Coulton (@wcoulton) and Alfonso Veropalumbo (@alfonso-veropalumbo), for their valuable feedback and suggestions, which have improved the functionality and documentation of the code.

Contributing#

User feedback and contributions are very welcome. Please refer to the contribution guidelines.

Discussions & Wiki#

Discussions


A community forum for users and developers is hosted on GitHub, where you can receive announcements, post questions, share ideas and get updates.

A wiki site collects wisdoms for specific use cases and user environments.

Releases#

Release notes are included in Release History.

Licence#

GPL-3.0 Licence


Triumvirate is made freely available under the GPL-3.0 licence.