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Constraining Lyman continuum escape using Machine Learning
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- Journal:
- Proceedings of the International Astronomical Union / Volume 12 / Issue S333 / October 2017
- Published online by Cambridge University Press:
- 08 May 2018, pp. 254-258
- Print publication:
- October 2017
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- Article
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The James Webb Space Telescope (JWST) will observe the rest-frame ultraviolet/optical spectra of galaxies from the epoch of reionization (EoR) in unprecedented detail. While escaping into the intergalactic medium, hydrogen-ionizing (Lyman continuum; LyC) photons from the galaxies will contribute to the bluer end of the UV slope and make nebular emission lines less prominent. We present a method to constrain leakage of the LyC photons using the spectra of high redshift (z ≳ 6) galaxies. We simulate JWST/NIRSpec observations of galaxies at z =6–9 by matching the fluxes of galaxies observed in the Frontier Fields observations of galaxy cluster MACS-J0416. Our method predicts the escape fraction fesc with a mean absolute error Δfesc ≈ 0.14. The method also predicts the redshifts of the galaxies with an error
$\left\langle \frac{\Delta z}{(1+z)}\right\rangle \approx 0.0003$.
