Mapping reionization bubbles in JWST era

Context. Ionized bubble sizes during reionization trace physical properties of the first galaxies. JWST's ability to spectroscopically confirm and measure Lyman-alpha (Lyα) emission in sub-L★ galaxies makes it possible to map to map ionized bubbles in 3D. However, existing Lyα-based bubble measurement strategies rely on constraints from single galaxies, which are limited by the large variability in intrinsic Lyα emission. Aims. As a first step, we present two bubble-size-estimation methods using Lyα spectroscopy of ensembles of galaxies, enabling us to map ionized structures and marginalize over Lyα emission variability. We tested our methods using gigaparsec-scale reionization simulations of the intergalactic medium (IGM). Methods. To map bubbles in the plane of the sky, we developed an edge detection method based on the asymmetry of Lyα transmission as a function of spatial position. To map bubbles along the line of sight, we develop an algorithm using the tight relation between Lyα transmission and the line-of-sight distance from galaxies to the nearest neutral IGM patch. Results. Both methods can robustly recover bubbles with a radius ≳10 comoving Mpc, sufficient for mapping bubbles even in the early phases of reionization, when the IGM is ∼70−90% neutral. These methods require ≳0.002−0.004 galaxies/cMpc3, a 5σ Lyα equivalent width upper limit of ≲30 Å for the faintest targets, and redshift precision Δz≲0.015, which is feasible with JWST spectroscopy. Shallower observations will provide robust lower limits on bubble sizes. Additional constraints on IGM transmission from Lyα escape fractions and line profiles will further refine these methods, paving the way to our first direct understanding of ionized bubble growth.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-05-14
DOI
https://doi.org/10.1051/0004-6361/202452912/pdf
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mapping reionization bubbles in JWST era

Springer Link (Chiba Institute of Technology)
Galaxies: Formation, Evolution, Phenomena
article

Mapping reionization bubbles in JWST era

article en

Abstract

Context. Ionized bubble sizes during reionization trace physical properties of the first galaxies. JWST's ability to spectroscopically confirm and measure Lyman-alpha (Lyα) emission in sub-L★ galaxies makes it possible to map to map ionized bubbles in 3D. However, existing Lyα-based bubble measurement strategies rely on constraints from single galaxies, which are limited by the large variability in intrinsic Lyα emission. Aims. As a first step, we present two bubble-size-estimation methods using Lyα spectroscopy of ensembles of galaxies, enabling us to map ionized structures and marginalize over Lyα emission variability. We tested our methods using gigaparsec-scale reionization simulations of the intergalactic medium (IGM). Methods. To map bubbles in the plane of the sky, we developed an edge detection method based on the asymmetry of Lyα transmission as a function of spatial position. To map bubbles along the line of sight, we develop an algorithm using the tight relation between Lyα transmission and the line-of-sight distance from galaxies to the nearest neutral IGM patch. Results. Both methods can robustly recover bubbles with a radius ≳10 comoving Mpc, sufficient for mapping bubbles even in the early phases of reionization, when the IGM is ∼70−90% neutral. These methods require ≳0.002−0.004 galaxies/cMpc3, a 5σ Lyα equivalent width upper limit of ≲30 Å for the faintest targets, and redshift precision Δz≲0.015, which is feasible with JWST spectroscopy. Shallower observations will provide robust lower limits on bubble sizes. Additional constraints on IGM transmission from Lyα escape fractions and line profiles will further refine these methods, paving the way to our first direct understanding of ionized bubble growth.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 67%
Galaxies: Formation, Evolution, Phenomena
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.