The Astrophysical Journal (Jan 2024)

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

  • Anne E. Jaskot,
  • Anneliese C. Silveyra,
  • Anna Plantinga,
  • Sophia R. Flury,
  • Matthew Hayes,
  • John Chisholm,
  • Timothy Heckman,
  • Laura Pentericci,
  • Daniel Schaerer,
  • Maxime Trebitsch,
  • Anne Verhamme,
  • Cody Carr,
  • Henry C. Ferguson,
  • Zhiyuan Ji,
  • Mauro Giavalisco,
  • Alaina Henry,
  • Rui Marques-Chaves,
  • Göran Östlin,
  • Alberto Saldana-Lopez,
  • Claudia Scarlata,
  • Gábor Worseck,
  • Xinfeng Xu

DOI
https://doi.org/10.3847/1538-4357/ad5557
Journal volume & issue
Vol. 973, no. 2
p. 111

Abstract

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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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