Article Dans Une Revue The Astrophysical Journal Année : 2024

Multivariate Predictors of Lyman Continuum Escape. I. A Survival Analysis of the Low-redshift Lyman Continuum Survey

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

Résumé

To understand how galaxies reionized the Universe, we must determine how the escape fraction of Lyman continuum (LyC) photons (f esc) depends on galaxy properties. Using the z ∼ 0.3 Low-redshift Lyman Continuum Survey (LzLCS), we develop and analyze new multivariate predictors of f esc. These predictions use the Cox proportional hazards model, a survival analysis technique that incorporates both detections and upper limits. Our best model predicts the LzLCS f esc detections with an rms scatter of 0.31 dex, better than single-variable correlations. According to ranking techniques, the most important predictors of f esc are the equivalent width (EW) of Lyman-series absorption lines and the UV dust attenuation, which track line-of-sight absorption due to H I and dust. The H I absorption EW is uniquely crucial for predicting f esc for the strongest LyC emitters, which show properties similar to weaker LyC emitters and whose high f esc may therefore result from favorable orientation. In the absence of H I information, star formation rate surface density (ΣSFR) and [O III]/[O II] ratio are the most predictive variables and highlight the connection between feedback and f esc. We generate a model suitable for z > 6, which uses only the UV slope, ΣSFR, and [O III]/[O II]. We find that ΣSFR is more important in predicting f esc at higher stellar masses, whereas [O III]/[O II] plays a greater role at lower masses. We also analyze predictions for other parameters, such as the ionizing-to-nonionizing flux ratio and Lyα escape fraction. These multivariate models represent a promising tool for predicting f esc at high redshift. * Based on observations made with the NASA/ESA Hubble Space Telescope, obtained at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-26555. These observations are associated with programs GO-15626, GO-13744, GO-14635, GO-15341, and GO-15639.

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insu-04838850 , version 1 (15-12-2024)

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Anne E. Jaskot, Anneliese C. Silveyra, Anna Plantinga, Sophia R. Flury, Matthew Hayes, et al.. Multivariate Predictors of Lyman Continuum Escape. I. A Survival Analysis of the Low-redshift Lyman Continuum Survey. The Astrophysical Journal, 2024, 972, ⟨10.3847/1538-4357/ad58b9⟩. ⟨insu-04838850⟩
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