Generalized tension metrics for multiple cosmological datasets
Project description
Multimeter
Author: Matías Leizerovich
Faculty of Exact and Natural Sciences, University of Buenos Aires
Multimeter is a Python package for quantifying and interpreting statistical tensions among multiple cosmological datasets.
It implements the methodology introduced in the paper:
“Generalized tension metrics for multiple cosmological datasets”
M. Leizerovich, S. Landau, C. Scóccola (2025)
The package provides a geometric framework to assess consistency across N datasets in a shared D-dimensional parameter space, going beyond standard pairwise tension measures.
Installation
Install with pip (recommended)
pip install multimeter-tension
Documentation
Full documentation (API reference, usage examples, and theory overview) is available at:
https://pypi.org/project/multimeter-tension/
Usage
After installation, you can import the package as:
import multimeter
The core tools allow for the systematic analysis of tensions among multiple datasets in a shared parameter space.
See the documentation for worked examples and API details.
Reproducing the paper results
To reproduce the figures and analyses presented in the paper:
- All notebooks used in the publication are available under:
notebooks/paper_plots/
- Additional exploratory and testing notebooks can be found under:
notebooks/
Citation
If you use Multimeter in your research, please cite:
M. Leizerovich, S. Landau, C. Scóccola, "Generalized tension metrics for multiple cosmological datasets", arXiv:2512.06086 (2025).
A BibTeX entry is provided in CITATION.bib.
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