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Record W4415703938 · doi:10.1093/mnras/staf1864

Rapid and late cosmic reionization driven by massive galaxies: a joint analysis of constraints from 21-cm, Lyman line, and CMB data sets

2025· article· en· W4415703938 on OpenAlexfundno aff
Peter Sims, H. T. J. Bevins, Anastasia Fialkov, Dominic Anstey, Will Handley, Stefan Heimersheim, Eloy de Lera Acedo, Rajesh Mondal, Rennan Barkana

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsnot available
FundersMcGill Space InstituteIsrael Science FoundationMcGill University
KeywordsReionizationCosmic microwave backgroundPlanckGalaxyRedshiftSpectral densityPopulationDark AgesCosmology

Abstract

fetched live from OpenAlex

ABSTRACT Observations of the Epoch of Reionization have the potential to answer long-standing questions of astrophysical interest regarding the nature of the first luminous sources and their effects on the intergalactic medium (IGM). We present astrophysical constraints from a Neural Density Estimation-Accelerated Bayesian joint analysis of constraints deriving from cosmic microwave background power spectrum measurements from Planck and South Pole Telescope, IGM neutral fraction measurements from Lyman line-based data sets, and 21-cm power spectrum upper limits from Hydrogen Epoch of Reionization Array, LOw Frequency ARray, and the Murchison Widefield Array. In the context of the model employed, the data are found to be consistent with galaxies forming from predominantly atomic-cooled hydrogen gas in dark matter haloes, with masses $M_\mathrm{h} \gtrsim 2.6 \times 10^{9}~{\rm M}_{\odot } ((1+z)/10)^{\frac{1}{2}}$ at 95 per cent credibility ($V_\mathrm{c} \gtrsim 50~\mathrm{km~s^{-1}}$) being the dominant galactic population driving reionization. These galaxies reionize the neutral hydrogen in the IGM over a narrow redshift interval ($\Delta z_\mathrm{re} < 1.8$ at 95 per cent credibility), with the mid-point of reionization constrained to $z_{50} = 7.16^{+0.15}_{-0.12}$. We also obtain a tight constraint on the optical depth to reionization, $\tau _{\mathrm{CMB}} = 0.052 \pm 0.002$, disfavouring high-$\tau _\mathrm{CMB}$ scenarios ($\tau _{\mathrm{CMB}} \sim 0.09$) proposed to ease Planck–Dark Energy Spectroscopic Instrument tensions. Given the parameter posteriors from our joint analysis, we find that the posterior predictive distribution of the global 21-cm signal is reduced in amplitude and shifted to lower redshifts relative to the model prior. We caution, however, that our inferences are model-dependent. Future work incorporating updated mass-dependent star formation efficiencies in atomic cooling haloes, informed by the latest UV luminosity function constraints from the James Webb Space Telescope, promises to refine these inferences further and enhance our understanding of cosmic reionization.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.210
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

Explore more

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