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CMB-S4 Science Book, First Edition, , , , , , , , , и 76 other автор(ы). (2016)cite arxiv:1610.02743.Accurately Weighing Neutrinos with Cosmological Surveys, , , и . (2020)cite arxiv:2006.09395Comment: 12 pages, 5 figures.Probing the Small-Scale Matter Power Spectrum with Large-Scale 21-cm Data, , и . (2019)cite arxiv:1911.11144Comment: 23 pages, 17 figures. Comments are welcome.Quantifying the Line-of-Sight Halo Contribution to the Dark Matter Convergence Power Spectrum from Strong Gravitational Lenses, , , , , и . (2020)cite arxiv:2006.07383Comment: 24 pages, 8 figures.Finding eV-scale Light Relics with Cosmological Observables, , , и . (2020)cite arxiv:2006.09380Comment: 17 pages, 11 figures.Snowmass2021: Vera C. Rubin Observatory as a Flagship Dark Matter Experiment, , , , , , , , , и 23 other автор(ы). (2022)cite arxiv:2203.07252Comment: Contribution to Snowmass 2021.Towards an Optimal Estimation of Cosmological Parameters with the Wavelet Scattering Transform, и . (2021)cite arxiv:2108.07821Comment: 5+5 Pages, 2+3 Figures.A Novel CMB Component Separation Method: Hierarchical Generalized Morphological Component Analysis., , , и . CoRR, (2019)Machine Learning and Cosmology., , , , , , , , , и 1 other автор(ы). CoRR, (2022)Machine Learning and Cosmology, , , , , , , , , и 1 other автор(ы). (2022)cite arxiv:2203.08056Comment: Contribution to Snowmass 2021. 32 pages.