Mapping reionization bubbles in JWST era

The James Webb Space Telescope (JWST) is discovering an increasing number of galaxies well into the early stages of the epoch of reionization (EoR). Many of these galaxies are clustered with strong Lyman-alpha (Ly α ) emission, which indicates surrounding cosmic HII regions that would facilitate Ly α transmission through the intergalactic medium (IGM). Detecting these HII bubbles would allow us to connect their growth to the properties of the galaxies inside them. We developed a new forward-modeling framework to estimate the size of the local HII region and its location based on Ly α spectra of galaxy groups in the early stages of the EoR. Our model uses the complementary information provided by neighboring sightlines through the IGM. Our forward models sample the main sources of uncertainty, including (i) the global neutral fraction, (ii) the EoR morphology, (iii) emergent Ly α emission, and (iv) NIRSpec instrument noise. Depending on the availability of complementary nebular lines, ∼0.006–0.01 galaxies per cMpc 3 are required for a confidence of ≳95% that the location and size of the HII bubble as recovered by our method is accurate to within ∼1 comoving Mpc. This approximately corresponds to some dozens of galaxies at z ∼7−8 in an ∼2×2 tiled pointing with JWST NIRSpec. A sample like this can be achieved with a targeted survey that is complete down to M UV min ≲ − 19–−17, depending on the overdensity of the field. We tested our method on 3D EoR simulations and on mispecified equivalent-width distributions. We accurately recovered the HII region that surrounded the targeted galaxy groups in both cases.

Authors

Publication Details

Journal
Astronomy and Astrophysics
Published
2025-06-17
DOI
https://doi.org/10.1051/0004-6361/202553756
Citations
5
Primary Topic
Radio Astronomy Observations and Technology
Type
article
Field-Weighted Citation Impact
5.77

Funders

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article

Mapping reionization bubbles in JWST era

Mengtao Tang, Ting-Yi Lu, Samuel Gagnon-Hartman, Charlotte Mason et al.
5 citations
Astronomy and Astrophysics
Radio Astronomy Observations and Technology
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article

Mapping reionization bubbles in JWST era

Mengtao Tang, Ting-Yi Lu, Samuel Gagnon-Hartman, Charlotte Mason, David Prelogović, Andrei Mesinger, Ivan Nikolić, Daniel P. Stark
article en
5 citations

Abstract

The James Webb Space Telescope (JWST) is discovering an increasing number of galaxies well into the early stages of the epoch of reionization (EoR). Many of these galaxies are clustered with strong Lyman-alpha (Ly α ) emission, which indicates surrounding cosmic HII regions that would facilitate Ly α transmission through the intergalactic medium (IGM). Detecting these HII bubbles would allow us to connect their growth to the properties of the galaxies inside them. We developed a new forward-modeling framework to estimate the size of the local HII region and its location based on Ly α spectra of galaxy groups in the early stages of the EoR. Our model uses the complementary information provided by neighboring sightlines through the IGM. Our forward models sample the main sources of uncertainty, including (i) the global neutral fraction, (ii) the EoR morphology, (iii) emergent Ly α emission, and (iv) NIRSpec instrument noise. Depending on the availability of complementary nebular lines, ∼0.006–0.01 galaxies per cMpc 3 are required for a confidence of ≳95% that the location and size of the HII bubble as recovered by our method is accurate to within ∼1 comoving Mpc. This approximately corresponds to some dozens of galaxies at z ∼7−8 in an ∼2×2 tiled pointing with JWST NIRSpec. A sample like this can be achieved with a targeted survey that is complete down to M UV min ≲ − 19–−17, depending on the overdensity of the field. We tested our method on 3D EoR simulations and on mispecified equivalent-width distributions. We accurately recovered the HII region that surrounded the targeted galaxy groups in both cases.

Astronomy and AstrophysicsVol. 699
Villum Fonden, Carlsbergfondet, Ministero dell'Università e della Ricerca, Center for High Performance Computing
Openalex Percentile: Top 4%
Radio Astronomy Observations and Technology
5.77
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