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JERALD high-fidelity dark matter, stellar mass and neutral hydrogen maps from fast N-body simulations

M Rigo, R Trotta, M Viel - arXiv preprint arXiv:2501.09168, 2025 - arxiv.org
Astrophysics paper astro-ph.CO Suggest

… JERALD provides a fast, accurate and physically motivated approach that we plan to embed in a statistical inference pipeline, such as Simulation-Based Inference, to …

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BibTeX

@misc{rigo2025jeraldhighfidelitydarkmatter,
title={JERALD high-fidelity dark matter, stellar mass and neutral hydrogen maps from fast N-body simulations},
author={Mauro Rigo and Roberto Trotta and Matteo Viel},
year={2025},
eprint={2501.09168},
archivePrefix={arXiv},
primaryClass={astro-ph.CO},
url={https//arxiv.org/abs/2501.09168},
}

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