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Gaussian Process Regression for foreground removal in HI intensity mapping experiments, , , и . (2021)cite arxiv:2105.12665Comment: 19 pages, 1 table, 13 figures, main results in figures 6 and 9, code and data available at https://github.com/paulassoares/gpr4im.Contributions from primordial non-Gaussianity and General Relativity to the galaxy power spectrum, , , и . (2021)cite arxiv:2107.10815Comment: 15 pages, 5 figures.Unveiling the Universe with Emerging Cosmological Probes, , , , , , , , , и 15 other автор(ы). (2022)cite arxiv:2201.07241Comment: Invited review article for Living Reviews in Relativity. 192 pages, 51 figures, 9 tables.Prospects for cosmic magnification measurements using HI intensity mapping, , и . (2019)cite arxiv:1907.00755Comment: 7 pages, 7 figures, 1 table.On the road to percent accuracy V: the non-linear power spectrum beyond $Łambda$CDM with massive neutrinos and baryonic feedback, , , , , , , , , и . (2021)cite arxiv:2105.12114Comment: 11 pages, 13 figures. Download ReACT: https://github.com/nebblu/ReACT/tree/react_with_neutrinos.Interferometric HI intensity mapping: perturbation theory predictions and foreground removal effects. (2022)cite arxiv:2206.14727Comment: 10 pages, 1 table, 7 figures, and many systematic biases.HI constraints from the cross-correlation of eBOSS galaxies and Green Bank Telescope intensity maps, , , , , , , , , и 11 other автор(ы). (2021)cite arxiv:2102.04946Comment: 16 pages, 15 figures, 1 table; submitted to MNRAS.The Astropy Problem, , , , , , , , , и 144 other автор(ы). eprint arXiv:astro-ph.IM/1610.03159, (октября 2016)