Empirical Estimate of Lyman-alpha Escape Fraction in a Statistical Sample of Lyman-alpha Emitters
Hakim Atek (1), Daniel Kunth (1), Daniel Schaerer (2), Matthew Hayes, (2), Jean-Michel Deharveng (3), Goran Ostlin (4), J. Miguel Mas-Hesse (5), ((1) IAP, (2) Observatoire de Geneve, (3) LAM, (4) OKC Stockholm, (5), CSIC-INTA)

TL;DR
This study empirically measures the Lyman-alpha escape fraction in local galaxies to improve understanding of its variability and calibration for high-redshift galaxy observations, revealing a wide range of escape fractions.
Contribution
It provides the first empirical estimate of Lyman-alpha escape fraction in a statistically significant local galaxy sample, aiding calibration for high-redshift studies.
Findings
Escape fraction ranges from 0.5% to 100%.
fesc(Lya) decreases with dust extinction.
Some objects show higher escape fraction for Lyman-alpha than for continuum.
Abstract
The Lyman-alpha (Lya) recombination line is a fundamental tool for galaxy evolution studies and modern observational cosmology. However, subsequent interpretations are still prone to a number of uncertainties. Besides numerical efforts, empirical data are urgently needed for a better understanding of Lya escape process. We empirically estimate the Lyman-alpha escape fraction fesc(Lya) in a statistically significant sample of z ~ 0 - 0.3 galaxies in order to calibrate high-redshift Lyman-alpha observations. An optical spectroscopic follow-up of a sub-sample of 24 Lyman-alpha emitters (LAEs) detected by GALEX at z ~ 0.2-0.3, combined with a UV-optical sample of local starbursts, both with matched apertures, allow us to quantify the dust extinction through Balmer lines, and to estimate the Lyman-alpha escape fraction from the Halpha flux corrected for extinction in the framework of the…
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.
