The LoReLi database: 21 cm signal inference with 3D radiative hydrodynamics simulations
Romain Meriot, Benoit Semelin

TL;DR
This paper introduces the LoReLi database and LorEMU emulator for 21cm signal inference during the Epoch of Reionization, enabling Bayesian analysis of simulation data and application to real observations.
Contribution
It presents the development of a new simulation dataset, a neural network emulator, and an inference pipeline for analyzing 21cm signals from the EoR.
Findings
Constraints on X-ray emissivity from HERA data
Cold reionization scenarios are unlikely
LorEMU achieves ~5% RMS error in power spectrum prediction
Abstract
The Square Kilometer array is expected to measure the 21cm signal from the Epoch of Reionization (EoR) in the coming decade, and its pathfinders may provide a statistical detection even earlier. The currently reported upper limits provide tentative constraints on the astrophysical parameters of the models of the EoR. In order to interpret such data with 3D radiative hydrodynamics simulations using Bayesian inference, we present the latest developments of the \textsc{Licorice} code. Relying on an implementation of the halo conditional mass function to account for unresolved star formation, this code now allows accurate simulations of the EoR at resolution. We use this version of \textsc{Licorice} to produce the first iteration of \textsc{LoReLi}, a public dataset now containing hundreds of 21cm signals computed from radiative hydrodynamics simulations. We train a neural network…
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Taxonomy
TopicsRadio Astronomy Observations and Technology · Superconducting and THz Device Technology · Galaxies: Formation, Evolution, Phenomena
