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The growth of density perturbations in the last $\sim$10 billion years from tomographic large-scale structure data

, , , , , , , and . (2021)cite arxiv:2105.12108Comment: 45 pages, 12 figures, comments welcome.

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The Atacama Cosmology Telescope: A Measurement of the DR6 CMB Lensing Power Spectrum and its Implications for Structure Growth, , , , , , , , , and 148 other author(s). (2023)cite arxiv:2304.05202Comment: 45+21 pages, 50 figures. Prepared for submission to ApJ. Also see companion papers Madhavacheril et al and MacCrann et al.The CAMELS project: public data release., , , , , , , , , and 37 other author(s). CoRR, (2022)SPOKES: An end-to-end simulation facility for spectroscopic cosmological surveys., , , , , , , , , and 8 other author(s). Astron. Comput., (2016)The LSST-DESC 3x2pt Tomography Optimization Challenge, , , , , , , , , and 18 other author(s). (2021)cite arxiv:2108.13418Comment: 30 pages (incl. 12 in appendix), 12 figures.Breaking baryon-cosmology degeneracy with the electron density power spectrum, , , , , , , , , and 1 other author(s). (2022)cite arxiv:2201.04142Comment: 31 pages, 10 figures, to be submitted to JCAP.The Atacama Cosmology Telescope: High-resolution component-separated maps across one-third of the sky, , , , , , , , , and 144 other author(s). (2023)cite arxiv:2307.01258Comment: The Compton-y map and associated products will be made publicly available upon publication of the paper. The CMB T and E mode maps will be made available when the DR6 maps are made public.The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence., , , , , , , , , and 18 other author(s). CoRR, (2021)Growing galaxies via superbubble-driven accretion flows, , and . (2014)cite arxiv:1410.3827Comment: 18 pages, 12 figures, submitted to MNRAS. Movies available (sorted by publication) at http://www.phys.ethz.ch/~ahobbs/movies.html. Comments welcome.The Quijote simulations, , , , , , , , , and 17 other author(s). (2019)cite arxiv:1909.05273Comment: 19 pages, 15 figures. Simulations publicly available at https://github.com/franciscovillaescusa/Quijote-simulations.Predicting cosmological observables with PyCosmo., , , , , , , , , and . Astron. Comput., (2021)