English

Lyman-$\alpha$ Escape through Anisotropic Media

Astrophysics of Galaxies 2026-03-11 v3

Abstract

The escape of Lyman-α\alpha (Lyα\alpha) radiation encodes valuable information on the neutral interstellar medium and is often used as a proxy for the escape of ionizing photons. Yet, the theory of Lyα\alpha transfer through anisotropic gas distributions remains underdeveloped. We present Monte Carlo radiative transfer simulations of Lyα\alpha propagation through porous, inhomogeneous neutral gas, systematically exploring the effects of channel geometry, outflows, dust, and lognormally distributed column densities. We find that Lyα\alpha photons do not preferentially escape through the lowest-column-density pathways, but instead traverse channels of substantial optical depth, leading to suppressed central flux and the absence of strongly beamed escape. Subdividing channels has little impact, indicating that geometry and covering fraction are more important than porosity. Channels containing moderate amounts of neutral hydrogen alter escape in characteristic ways, including the appearance of quadruple-peaked spectra, which can be captured by a simple flux-channel relation. Outflows reshape the spectra by facilitating escape through dense media, redshifting photons and blending central features, while dust modulates the visibility of small channels by suppressing flux at line center; in both cases, we develop an analytical model that predicts the resulting central fluxes. Extending to lognormal column density fields, we show that Lyα\alpha photons probe a broad range of optical depths, producing skewed spectra that can be approximated by weighted sums of homogeneous models. Our results have direct implications for using Lyα\alpha as a tracer of gas properties and ionizing photon escape; for instance, spectra suggestive of high column densities may nonetheless allow LyC leakage through narrow channels.

Keywords

Cite

@article{arxiv.2509.19184,
  title  = {Lyman-$\alpha$ Escape through Anisotropic Media},
  author = {Silvia Almada Monter and Max Gronke and Seok-Jun Chang},
  journal= {arXiv preprint arXiv:2509.19184},
  year   = {2026}
}

Comments

Accepted for publication in MNRAS

R2 v1 2026-07-01T05:52:25.824Z