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September 24, 2024The Astrophysical Journal10 citationsOpen Access

Multivariate Predictors of Lyman Continuum Escape. II. Predicting Lyman Continuum Escape Fractions for High-redshift Galaxies*

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AJAnne E. JaskotASAnneliese C. SilveyraAPAnna Plantinga

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Abstract

Abstract JWST is uncovering the properties of ever-increasing numbers of galaxies at z > 6, during the epoch of reionization. Connecting these observed populations to the process of reionization requires understanding how efficiently they produce Lyman continuum (LyC) photons and what fraction ( f esc ) of these photons escape into the intergalactic medium. By applying the Cox proportional hazards model, a survival analysis technique, to the Low-redshift Lyman Continuum Survey (LzLCS), we develop new, empirical, multivariate predictions for f esc . The models developed from the LzLCS reproduce the observed f esc for z ∼ 3 samples, which suggests that LyC emitters may share similar properties at low and high redshift. Our best-performing models for the z ∼ 3 galaxies include information about dust attenuation, ionization, and/or morphology. We then apply these models to z ≳ 6 galaxies. For large photometric samples, we find a median predicted f esc = 0.047–0.14. For smaller spectroscopic samples, which may include stronger emission-line galaxies, we find that ≥33% of the galaxies have f esc > 0.2, and we identify several candidate extreme leakers with f esc ≥ 0.5. The current samples show no strong trend between predicted f esc and UV magnitude, but limited spectroscopic information makes this result uncertain. Multivariate predictions can give significantly different results from single-variable predictions, and the predicted f esc for high-redshift galaxies can differ significantly depending on whether star formation rate surface density or radius is used as a measure of galaxy morphology. We provide all parameters necessary to predict f esc for additional samples of high-redshift galaxies using these models.

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Jaskot et al. (2024) studied this question.

synapsesocial.com/papers/68e57799b6db643587517909https://doi.org/10.3847/1538-4357/ad5557
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