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20172026
most citedConstraining Reionization with the Lyman- Forest Power Spectrum: the Outlook after Planck

47 citations · 53 across the 5 of their papers we have counts for

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Showing 2023Show all

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astro-ph.CO2023★ 6 cited

LyNNA: A Deep Learning Field-level Inference Machine for the Lyman- Forest

Parth Nayak, Michael Walther, Daniel Gruen +1

The inference of astrophysical and cosmological properties from the Lyman- forest conventionally relies on summary statistics of the transmission field that carry useful but lim…