M. Walther

activity

20172026

most citedConstraining Reionization with the

z \sim 5 - 6

Lyman-

α

Forest Power Spectrum: the Outlook after Planck

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

collaborators

Showing 2025Show all

2 papers · 1 filter

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.CO2025

Human vs. machine -- 1:3. Joint analysis of classical and ML-based summary statistics of the Lyman- $α$ forest

S. Chang, P. Nayak, M. Walther +1

In order to compress and more easily interpret Lyman- $α$ forest (Ly $α$ F) datasets, summary statistics, e.g. the power spectrum, are commonly used. However, such summaries unavoidab…

LyαNNA II: Field-level inference with noisy Lyα forest spectra

Human vs. machine -- 1:3. Joint analysis of classical and ML-based summary statistics of the Lyman-α forest

Human vs. machine -- 1:3. Joint analysis of classical and ML-based summary statistics of the Lyman- $α$ forest