3 papers
astro-ph.CO2026
A Measurement of the Thermal and Ionization State of the IGM at
Teng Hu, Vikram Khaire, Joseph F. Hennawi +4
We apply a machine-learning-based inference method that exploits the joint Doppler parameter-column density (b-NHI) distribution from Lya forest decomposition to measure the therma…
astro-ph.CO2024
Emulating the Lyman-Alpha forest 1D power spectrum from cosmological simulations: New models and constraints from the eBOSS measurement
Michael Walther, Nils Schöneberg, Solène Chabanier +8
We present the Lyssa suite of high-resolution cosmological simulations of the Lyman- forest designed for cosmological analyses. These 18 simulations have been run using the Nyx…
astro-ph.CO2024
A Gigaparsec-Scale Hydrodynamic Volume Reconstructed with Deep Learning
Cooper Jacobus, Roger de Belsunce, Solene Chabanier +4
The next generation of cosmological spectroscopic sky surveys will probe the distribution of matter across several Gigaparsecs (Gpc) or many billion light-years. In order to levera…