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#
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] linked above; for convenience, you can
refer to the files CITATION.cff
and CITATION.md
for the relevant
information in different formats.
Acknowledgement#
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 (openjournals/joss-reviews#5571), 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#
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#
Triumvirate is made freely available under the GPL-3.0 licence (or any later version).