2 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
Analytic compression of the effective field theory of the Lyman-alpha forest
N. G. Karaçaylı, M. Ivanov, R. de Belsunce +3
The 1D flux power spectrum () of the Ly forest provides an exceptionally high-resolution probe of structure formation down to small scales ($k\approx1-10~\text{…
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…
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…
The Lyman- forest catalog from the Dark Energy Spectroscopic Instrument Early Data Release
César Ramírez-Pérez, Ignasi Pérez-Ràfols, Andreu Font-Ribera +67
We present and validate the catalog of Lyman- forest fluctuations for 3D analyses using the Early Data Release (EDR) from the Dark Energy Spectroscopic Instrument (DESI) survey.…