Emulating the Lyman-Alpha forest 1D power spectrum from cosmological simulations: New models and constraints from the eBOSS measurement
Michael Walther, Nils Sch\"oneberg, Sol\`ene Chabanier, Eric Armengaud, Jean Sexton, Christophe Y\`eche, Julien Lesgourgues, Markus R. Mosbech, Corentin Ravoux, Nathalie Palanque-Delabrouille, Zarija Luki\'c

TL;DR
This paper introduces high-resolution cosmological simulations and a Gaussian process emulator for the Lyman-alpha forest 1D power spectrum, enabling precise cosmological parameter constraints from eBOSS data.
Contribution
The paper presents the Lyssa simulation suite, a new emulator framework, and demonstrates its application to derive cosmological constraints from Lyman-alpha forest data.
Findings
Emulator achieves sub-percent accuracy in power spectrum predictions.
Constraints on matter power spectrum parameters from eBOSS data.
Tension with Planck results when using certain priors on mean transmission.
Abstract
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 code with hydrodynamical cells in a 120 Mpc ( 81Mpc/h) comoving box and individually provide sub-percent level convergence of the Lyman- forest 1d flux power spectrum. We build a Gaussian process emulator for the Lyssa simulations in the lym1d likelihood framework to interpolate the power spectrum at arbitrary parameter values. We validate this emulator based on leave-one-out tests and based on the parameter constraints for simulations outside of the training set. We also perform comparisons with a previous emulator, showing a percent level accuracy and a good recovery of the expected cosmological parameters. Using this emulator we derive constraints on the linear matter power…
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