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Predicting the neutral hydrogen content of galaxies from optical data using machine learning
(Oxford University Press, 2018)
We develop a machine learning-based framework to predict the Hi content of galaxies using
more straightforwardly observable quantities such as optical photometry and environmental
parameters. We train the algorithm on z ...
Aligned metal absorbers and the ultraviolet background at the end of reionization
(Oxford University Press, 2018)
We use observations of spatially-aligned C ii, C iv, Si ii, Si iv, and O i absorbers to probe the
slope and intensity of the ultraviolet background (UVB) at z ∼ 6. We accom- plish this by comparing
observations with ...
Calibrating the James Webb Space telescope filters as star formation rate indicators
(American Astronomical Society, 2018)
We have calibrated the 6.5m James Webb Space Telescope (JWST) mid-infrared (MIR) filters as star formation rate
(SFR) indicators, using JWST photometry synthesized from Spitzer spectra of 49 low-redshift galaxies, which ...