Bridging Simulations and EFT: A Hybrid Model of the Lyman-Alpha Forest Field

TL;DR

This paper introduces a hybrid effective field theory model for the Lyman-alpha forest that combines N-body simulations with analytical bias modeling, achieving 5% accuracy on quasi-linear scales and aiding cosmological data analysis.

Contribution

The paper presents a novel hybrid EFT model that effectively combines simulation accuracy with analytical simplicity for modeling the Lyman-alpha forest.

Findings

Achieves 5% agreement with true power spectra at k <= 1 h/Mpc.

Residual noise has a nearly white power spectrum, simplifying modeling.

Provides a promising approach for constructing emulators for cosmological analyses.

Abstract

The Lyman-alpha (Lya) forest is a unique probe of cosmology and the intergalactic medium at high redshift and small scales. The statistical power of the ongoing Dark Energy Spectroscopic Instrument (DESI) demands precise theoretical tools to model the Lya forest. We present a hybrid effective field theory (HEFT) forward model in redshift space that leverages the accuracy of non-linear particle displacements computed using the N-body simulation suite AbacusSummit with the predictive power of an analytical, perturbative bias forward model in the framework of the effective field theory (EFT). The residual noise between the model and the simulated Lya field has a nearly white (scale-and orientation-independent) power spectrum on quasi-linear scales, substantially simplifying its modeling compared to a purely perturbative description. As a consequence of the improved control over the 3D Lya forest stochasticity, we find agreement between the modeled and the true power spectra at the 5 per cent level down to scales of k <= 1 h/Mpc. This procedure offers a promising path toward constructing efficient and accurate emulators to predict large-scale clustering summary statistics for full-shape cosmological analyses of Lya forest data from both DESI and its successor, DESI-II.