Varying AGN feedback parameters shows that jet feedback from the most massive black holes suppresses the Lyman-alpha forest P1D unless it reduces the number of such black holes.
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Review of machine learning applications for analyzing Lyman-alpha forest observations to probe cosmology, reionization, and dark matter.
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Exploring the impact of AGN feedback model variations on the Lyman-$\alpha$ Forest Flux Power Spectrum
Varying AGN feedback parameters shows that jet feedback from the most massive black holes suppresses the Lyman-alpha forest P1D unless it reduces the number of such black holes.
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Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest
Review of machine learning applications for analyzing Lyman-alpha forest observations to probe cosmology, reionization, and dark matter.