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Target Neutrino Mass Precision for Determining the Neutrino Hierarchy

, , , , , , , and . (2019)cite arxiv:1907.04331Comment: 5 pages, 1 figure. Comments welcome.

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Bursty star formation feedback and cooling outflows, , , , and . (2016)cite arxiv:1607.04279Comment: 8 pages, 6 figures, accepted in MNRAS.General framework for cosmological dark matter bounds using $N$-body simulations, and . (2020)cite arxiv:2007.13751Comment: 21 pages, 10 figures.Primordial Non-Gaussianity, , , , , , , , , and 168 other author(s). (2019)cite arxiv:1903.04409Comment: 5 pages + references; Submitted to the Astro2020 call for science white papers. This version: fixed author list.Cosmological Inflation: Theory and Observations, and . (2008)cite arxiv:0810.3022 Comment: 18 pages, 12 figures. Invited review to appear in Advanced Science Letters Special Issue on Quantum Gravity, Cosmology and Black Holes.An emulator for the Lyman-$\alpha$ forest in beyond-$Łambda$CDM cosmologies, , , , , , and . (2020)cite arxiv:2011.15127Comment: 26 pages, 11 figures.On spin scale-discretised wavelets on the sphere for the analysis of CMB polarisation., , , , , and . CoRR, (2014)Explaining dark matter halo density profiles with neural networks., , and . CoRR, (2023)Discovering the building blocks of dark matter halo density profiles with neural networks., , , , , and . CoRR, (2022)Angular momentum evolution can be predicted from cosmological initial conditions, , and . (2020)cite arxiv:2012.02201Comment: 6 pages, 4 figures, to be submitted to MNRAS, comments welcome.A robust estimator of mutual information for deep learning interpretability., , , , , and . Mach. Learn. Sci. Technol., 4 (2): 25006 (June 2023)