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Euclid: Modelling massive neutrinos in cosmology -- a code comparison

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , и . (2022)cite arxiv:2211.12457Comment: 43 pages, 17 figures, 2 tables; published on behalf of the Euclid Consortium; data available at https://doi.org/10.5281/zenodo.7297976.

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Euclid: Modelling massive neutrinos in cosmology -- a code comparison, , , , , , , , , и 126 other автор(ы). (2022)cite arxiv:2211.12457Comment: 43 pages, 17 figures, 2 tables; published on behalf of the Euclid Consortium; data available at https://doi.org/10.5281/zenodo.7297976.3\%-accurate predictions for the clustering of dark matter, haloes and subhaloes, over a wide range of cosmologies and scales, , , и . (2020)cite arxiv:2001.03176Comment: 12 pages, 8 figures. Submitted. Comments are welcome.