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.