Key points are not available for this paper at this time.
The escape of LyC photons emitted by massive stars from the dense interstellar medium of galaxies is one of the most significant bottlenecks for cosmological reionization. The escape fraction shows significant scatter between galaxies, and anisotropic, spatial variation within them, motivating further study of the underlying physical factors responsible for these trends. We perform numerical radiation hydrodynamic simulations of idealized clouds with different gas surface densities (compactness) 10²--10⁵ \, M_ pc^-2, meant to emulate star cluster-forming clumps ranging from conditions typical of the local Universe to the high ISM-pressure conditions more frequently encountered at high redshift. Our results indicate that dense compact star clusters with 10⁴ \, M_ pc^-2 efficiently leak LyC photons, with cloud-scale luminosity-weighted average escape fractions 80\% as opposed to 10\% for 100 \, M_ pc^-2. This occurs due to higher star formation efficiencies and shorter dynamical timescales at higher ; the former results in higher intrinsic LyC emission, and the latter implies rapid evolution, with a burst of star formation followed by rapid gas dispersal, permitting high LyC escape well before the intrinsic LyC emission of stellar populations drop (4 \, Myr). LyC escape in dense clouds is primarily facilitated by highly ionized outflows driven by radiation pressure on dust with velocities 3 times the cloud escape velocity. We also vary the (assumed) dust abundances (Z₃) and find a very mild increase (10%) in the escape fraction for 100 lower Z₃. Our results suggest a scenario in which localized compact bursts of star formation in galaxies are disproportionately productive sites of LyC leakage.
Building similarity graph...
Analyzing shared references across papers
Loading...
Shyam H. Menon
Rutgers, The State University of New Jersey
Blakesley Burkhart
Rutgers, The State University of New Jersey
Rachel S. Somerville
Leiden University
Building similarity graph...
Analyzing shared references across papers
Loading...
Menon et al. (Mon,) studied this question.
synapsesocial.com/papers/68e5aef2b6db6435875480c4 — DOI: https://doi.org/10.48550/arxiv.2408.14591