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Code to extract cosmological parameters from cosmological galaxy surveys using Convolutional Neural Networks.

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ICSC-Spoke3/MLS-CNN

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Code used to produce the results from https://doi.org/10.1016/j.ascom.2026.101067 (version 0.1.0).

Installation

Clone the repository and install all the dependencies with pip:

git clone https://github.com/inigosaezcasares/MLS-CNN.git
cd MLS-CNN
pip install -r requirements.txt

NOTE: By default, this will install torch using pip install torch. If you need other torch versions (e.g. other CUDA versions, other OS/platforms), you should install torch manually before running pip install .. See: https://pytorch.org/

Tested with python 3.12.

Usage

Examples of input parameter files in inputs/.

Examples of slurm scripts to run the code in scripts/.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For questions or feedback, contact inigo.saez@unimit.it or open an issue on GitHub.

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Code to extract cosmological parameters from cosmological galaxy surveys using Convolutional Neural Networks.

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