ELiCA 0.1.0

E-mode Likelihood for Cross-Analysis: external Cobaya likelihood package

ELiCA

E-mode Likelihood for Cross-Analysis: an external cobaya likelihood package for CMB E-mode polarization, targeting constraints on the epoch of reionization.

Installation

pip install elica

Or from source:

git clone https://github.com/Vgenesin/ELICA.git
cd ELICA
uv sync

You can also use pip install . if you don't have uv.

Usage

ELiCA provides several likelihoods that can be used directly in cobaya:

Likelihood	cobaya name	Description
elica	elica	Flagship hybrid (cross-spectra + WLxWL)
cross	elica.cross	Cross-spectra only
full	elica.full	All auto + cross spectra
EE_100x100	elica.EE_100x100	Single-field 100GHz auto
EE_100x143	elica.EE_100x143	Single-field 100x143 cross
EE_100xWL	elica.EE_100xWL	Single-field 100xWL cross
EE_143x143	elica.EE_143x143	Single-field 143GHz auto
EE_143xWL	elica.EE_143xWL	Single-field 143xWL cross
EE_WLxWL	elica.EE_WLxWL	Single-field WL auto

Example cobaya input:

likelihood:
  elica:

theory:
  camb:
    extra_args:
      lens_potential_accuracy: 1
      nnu: 3.044
      num_massive_neutrinos: 1

See examples/ for a full sampling script.

Development

git clone https://github.com/Vgenesin/ELICA.git
cd ELICA
uv sync --all-extras --dev
pre-commit install

Run tests:

uv run pytest tests/ -v

Lint and format:

uv run ruff check .
uv run ruff format --check .

Citation

If you use ELiCA in your research, please cite:

Genesini, Galloni, Pagano, Campeti & Lattanzi (2026), Cross-spectra likelihood for robust tau constraints from all satellite polarisation data, arXiv:2603.22454

@article{Genesini2026,
    title={Cross-spectra likelihood for robust $\tau$ constraints from all satellite polarisation data},
    author={Genesini, Valentina and Galloni, Giacomo and Pagano, Luca and Campeti, Paolo and Lattanzi, Massimiliano},
    journal={arXiv preprint arXiv:2603.22454},
    year={2026},
    eprint={2603.22454},
    archivePrefix={arXiv},
    primaryClass={astro-ph.CO}
}