Expanding HST observations of intermediate-redshift quasars can deliver the first systematic rest-frame EUV census of QSOs and warm-hot gas in the CGM/IGM as a low-redshift anchor for future UV missions.
Faucher-Gigu `ere,A cosmic UV/X-ray background model update, MNRAS493(2020) 1614 [1903.08657]
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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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Closing the UV Gap: Rest-frame EUV science from high-redshift QSOs as a legacy-defining capability
Expanding HST observations of intermediate-redshift quasars can deliver the first systematic rest-frame EUV census of QSOs and warm-hot gas in the CGM/IGM as a low-redshift anchor for future UV missions.
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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.