Can I read Multivariate Predictors of LyC Escape II: Predicting LyC Escape Fractions for High-Redshift Galaxies on EtoBox?

Multivariate Predictors of LyC Escape II: Predicting LyC Escape Fractions for High-Redshift Galaxies by Jaskot, Anne E.; Silveyra, Anneliese C.; Plantinga, Anna; Flury, Sophia R.; Hayes, Matthew; Chisholm, John; Heckman, Timothy; Pentericci, Laura; Schaerer, Daniel; Trebitsch, Maxime; Verhamme, Anne; Carr, Cody; Ferguson, Henry C.; Ji, Zhiyuan; Giavalisco, Mauro; Henry, Alaina; Marques-Chaves, Rui; Östlin, Göran; Saldana-Lopez, Alberto; Scarlata, Claudia; Worseck, Gábor; Xu, Xinfeng is a scholarly article available to read on EtoBox.

What is Multivariate Predictors of LyC Escape II: Predicting LyC Escape Fractions for High-Redshift Galaxies about?

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 (fesc) 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 fesc. The models developed from the LzLCS reproduce the observed fesc 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$\gtrsim$6 galaxies. For large photometric samples, we find a median predicted fesc=0.047-0.14. For smaller spectroscopic samples, which may include stronger emission line galaxies, we find that $\geq$33% of the galaxies have fesc >0.2, and we identify several candidate extreme leakers with fesc $\geq$0.5. The current samples show no st

Author

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

Published

2024

Language

EN