Measuring the intergalactic medium correlation length at 5 &lt; <i>z</i> &lt; 6.1: A fast change at the end of reionization

Context. The Lyman- α forest of high-redshift quasars is a powerful probe of the late stages of the epoch of reionization (EoR), in particular thanks to the presence of Gunn-Peterson troughs. These troughs exhibit a broad range of lengths, with some extending up to ∼100 cMpc, suggesting large-scale coherent structures in the intergalactic medium (IGM). Aims. We aim to gain more insight into the presence, extent, and magnitude of correlations in the Lyman- α forest at the end of reionization, at 5 &lt; z &lt; 6.1. In particular, we want to quantify the scales over which correlations are significant in order to help inform the required size of cosmological simulations aiming to capture the evolution of the EoR. Methods. We utilized the extended XQR-30 observational dataset over the redshift range 5 &lt; z &lt; 6.1 (Δ z = 0.05) to explore large-scale correlations. After accounting for the relevant systematics, the flux correlation matrix proved to be a powerful tool for probing large-scale correlations across redshifts. We performed a Monte Carlo Markov chain analysis to quantify the extent and strength of the correlation, making use of several functional forms. We moreover employed new large-volume (1.5 3 Gpc 3 ) light cones of Lyman- α transmission implementing different reionization scenarios to interpret the observed signal, including a fiducial box employing SCRIPT. Results. We detected strong correlations at redshifts z &gt; 5.3, extending at least tens of megaparsecs and strongly increasing with redshift. Our results suggest a redshift-dependent correlation length, from L ≤ 26.53 (68.47) Mpc at 1 σ (2 σ ) limit at redshift z = 5.0 to L = 252.72 +272.61 −41.61 Mpc at redshift z = 6.1. On the contrary, our simulations all demonstrate characteristic correlation scales &lt; 60 Mpc with a very slow redshift evolution, in strong tension with our observations. Conclusions. The presence and redshift dependence of correlations in the Lyman- α forest on &gt; 200 Mpc scales at z = 6 indicates that cosmological simulations should be larger than this scale to adequately sample the Lyman- α forest. Despite implementing a fluctuating ultraviolet background and numerous neutral islands at z &lt; 6, and matching well the sightline scatter in the Lyman- α forest, our fiducial SCRIPT-based simulation fails to reproduce the large-scale correlations. It may be that those ingredients are necessary, but insufficient, to understand the unfolding of the EoR.

Authors

Institutions

Publication Details

Journal
Astronomy and Astrophysics
Published
2025-12-23
DOI
https://doi.org/10.1051/0004-6361/202556442
Primary Topic
Geophysics and Gravity Measurements
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measuring the intergalactic medium correlation length at 5 < z < 6.1: A fast change at the end of reionization

Barun Maity, Frederick B. Davies, Sarah E. I. Bosman, Benedetta Spina
Astronomy and Astrophysics
Geophysics and Gravity Measurements
article

Measuring the intergalactic medium correlation length at 5 < z < 6.1: A fast change at the end of reionization

Barun Maity, Frederick B. Davies, Sarah E. I. Bosman, Benedetta Spina
article en

Abstract

Context. The Lyman- α forest of high-redshift quasars is a powerful probe of the late stages of the epoch of reionization (EoR), in particular thanks to the presence of Gunn-Peterson troughs. These troughs exhibit a broad range of lengths, with some extending up to ∼100 cMpc, suggesting large-scale coherent structures in the intergalactic medium (IGM). Aims. We aim to gain more insight into the presence, extent, and magnitude of correlations in the Lyman- α forest at the end of reionization, at 5 &lt; z &lt; 6.1. In particular, we want to quantify the scales over which correlations are significant in order to help inform the required size of cosmological simulations aiming to capture the evolution of the EoR. Methods. We utilized the extended XQR-30 observational dataset over the redshift range 5 &lt; z &lt; 6.1 (Δ z = 0.05) to explore large-scale correlations. After accounting for the relevant systematics, the flux correlation matrix proved to be a powerful tool for probing large-scale correlations across redshifts. We performed a Monte Carlo Markov chain analysis to quantify the extent and strength of the correlation, making use of several functional forms. We moreover employed new large-volume (1.5 3 Gpc 3 ) light cones of Lyman- α transmission implementing different reionization scenarios to interpret the observed signal, including a fiducial box employing SCRIPT. Results. We detected strong correlations at redshifts z &gt; 5.3, extending at least tens of megaparsecs and strongly increasing with redshift. Our results suggest a redshift-dependent correlation length, from L ≤ 26.53 (68.47) Mpc at 1 σ (2 σ ) limit at redshift z = 5.0 to L = 252.72 +272.61 −41.61 Mpc at redshift z = 6.1. On the contrary, our simulations all demonstrate characteristic correlation scales &lt; 60 Mpc with a very slow redshift evolution, in strong tension with our observations. Conclusions. The presence and redshift dependence of correlations in the Lyman- α forest on &gt; 200 Mpc scales at z = 6 indicates that cosmological simulations should be larger than this scale to adequately sample the Lyman- α forest. Despite implementing a fluctuating ultraviolet background and numerous neutral islands at z &lt; 6, and matching well the sightline scatter in the Lyman- α forest, our fiducial SCRIPT-based simulation fails to reproduce the large-scale correlations. It may be that those ingredients are necessary, but insufficient, to understand the unfolding of the EoR.

Astronomy and AstrophysicsVol. 706
Heidelberg University (DE), Max Planck Institute for Astronomy (DE), Instituto de Física Teórica (ES), Heidelberg Institute for Theoretical Studies (DE)
Openalex Percentile: Top 71%
Geophysics and Gravity Measurements
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.