Escape of about five per cent of Lyman-alpha photons from high-redshift star-forming galaxies
Matthew Hayes (1), Goran Ostlin (2), Daniel Schaerer (1, 3), J., Miguel Mas-Hesse (4), Claus Leitherer (5), Hakim Atek (6), Daniel Kunth (6),, Anne Verhamme (7), Stephane de Barros (1), Jens Melinder (2) ((1), Observatoire de l'Universite de Geneve, (2) Stockholms Observatorium

TL;DR
This study measures the low average escape fraction of about 5% for Lyman-alpha photons from high-redshift star-forming galaxies, indicating most Lya emission is absorbed or scattered, affecting galaxy observations and interpretations.
Contribution
It provides the first unbiased empirical measurement of Lya photon escape fraction at high redshift, revealing it to be significantly lower than previously assumed.
Findings
Average Lya escape fraction is about 5%.
Nearly 90% of galaxies emit insufficient Lya for detection.
Lya escape fraction anti-correlates with dust content.
Abstract
The Lyman-alpha (Lya) emission line is the primary observational signature of star-forming galaxies at the highest redshifts, and has enabled the compilation of large samples of galaxies with which to study cosmic evolution. The resonant nature of the line, however, means that Lya photons scatter in the neutral interstellar medium of their host galaxies, and their sensitivity to absorption by interstellar dust may therefore be enhanced greatly. This implies that the Lya luminosity may be significantly reduced, or even completely suppressed. Hitherto, no unbiased empirical test of the escaping fraction (f_esc) of Lya photons has been performed at high redshifts. Here we report that the average fesc from star-forming galaxies at redshift z = 2.2 is just 5 per cent by performing a blind narrowband survey in Lya and Ha. This implies that numerous conclusions based on Lya-selected samples…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
