2 papers
astro-ph.IM2025
LyαNNA II: Field-level inference with noisy Lyα forest spectra
Parth Nayak, Michael Walther, Daniel Gruen
Deep learning (DL) has been shown to outperform traditional, human-defined summary statistics of the Lyα forest in constraining key astrophysical and cosmological parameters owing…
astro-ph.CO2024
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 li…