CLASSY XIII. Cutting through the Clouds - Comparing Indirect Tracers of Ionizing Photon Escape
Kaelee S. Parker, Danielle A. Berg, John Chisholm, Simon Gazagnes, Sophia R. Flury, Cody Carr, Mason Huberty, Anne E. Jaskot, Matthew J. Hayes, Alberto Saldana-Lopez, Svea Hernandez, Themiya Nanayakkara, Bethan L. James, Karla Z. Arellano-C\'ordova, Allison Strom, Peter Senchyna

TL;DR
This study compares six indirect methods to estimate ionizing photon escape fractions in nearby galaxies, revealing two main escape pathways and emphasizing the importance of understanding these mechanisms for cosmic reionization.
Contribution
It systematically evaluates and compares multiple indirect diagnostics of ionizing photon escape, identifying two distinct escape pathways and their relation to galaxy star formation histories.
Findings
Approximately half of the galaxies are predicted to be strong LyC leakers.
Two escape pathways identified: early escape driven by young stars, and delayed escape linked to supernova outflows.
Despite methodological differences, classifications of leakers are broadly consistent.
Abstract
The Epoch of Reionization (EoR) provides critical insights into the role of early galaxies in shaping the ionization state of the universe. However, because of the opacity of the intergalactic medium, it is often not possible to make direct measurements of the ionizing photon escape fraction () of high-redshift () galaxies. To explore the agreement and systematics of common indirect approaches, we applied six empirically calibrated diagnostics to predict for the 45 nearby star-forming galaxies from the COS Legacy Spectroscopic SurveY (CLASSY). These methods- based on ultraviolet (UV) absorption lines, the UV continuum slope, Ly kinematics, a multivariate model, radiation-hydrodynamic simulations, and nebular emission line ratios- enable us to explore systematic differences between predictions…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Gamma-ray bursts and supernovae
