ROMAr

Reduced Order Modeling for Argon plasma

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ROMAr is a Python library designed to implement model reduction techniques for collisional-radiative argon plasma [1], leveraging the CoBRAS method [2].

Installation

To install ROMAr, follow these steps:

1. Clone the repository:

git clone https://github.com/ivanZanardi/romar.git
cd romar

2. Create a Conda environment:

conda env create -f conda/env.yml
conda activate romar

3. Install the package:

pip install romar

Activate the Conda environment whenever using ROMAr:

conda activate romar

Citation

If you use this code or find this work useful in your research, please cite us:

@article{Zanardi_ROMAr_2026,
    author = {Zanardi, Ivan and Meini, Alessandro and Padovan, Alberto and Bodony, Daniel J. and Panesi, Marco},
    title = {Petrov–Galerkin model reduction for collisional–radiative argon plasma},
    journal = {Physics of Plasmas},
    volume = {33},
    number = {1},
    pages = {013905},
    year = {2026},
    month = {01},
    issn = {1070-664X},
    doi = {10.1063/5.0306085},
    url = {https://doi.org/10.1063/5.0306085},
    eprint = {https://pubs.aip.org/aip/pop/article-pdf/doi/10.1063/5.0306085/20875731/013905_1_5.0306085.pdf}
}

Explore

Check out the examples provided in the repository to see ROMAr in action. These examples reproduce the 0D results presented in the original paper.

License

ROMAr is distributed under the MIT License. You are welcome to utilize, modify, and contribute to this project in accordance with the terms outlined in the license.

References

1. Kapper, M. G., Cambier, J.-L. (2011). Ionizing shocks in argon. Part I: Collisional-radiative model and steady-state structure. Journal of Applied Physics, 109(11), 113308. https://doi.org/10.1063/1.3585688

2. Otto, S. E., Padovan, A., Rowley, C. W. (2023). Model reduction for nonlinear systems by balanced truncation of state and gradient covariance. SIAM Journal on Scientific Computing, 45(5), A2325–A2355. https://doi.org/10.1137/22M1513228

3. Zanardi, I., Padovan, A., Bodony, D. J., Panesi, M. (2025). Petrov-Galerkin model reduction for thermochemical nonequilibrium gas mixtures. Journal of Computational Physics, 533, 113999. https://doi.org/10.1016/J.JCP.2025.113999