Determining the systemic redshift of Lyman α emitters with neural networks and improving the measured large-scale clustering
(2020)
Journal Article
Gurung-López, S., Saito, S., Baugh, C. M., Bonoli, S., Lacey, C. G., & Orsi, Á. A. (2021). Determining the systemic redshift of Lyman α emitters with neural networks and improving the measured large-scale clustering. Monthly Notices of the Royal Astronomical Society, 500(1), 603-626. https://doi.org/10.1093/mnras/staa3269
We explore how to mitigate the clustering distortions in Lyman α emitter (LAE) samples caused by the misidentification of the Lyman α (Lyα) wavelength in their Lyα line profiles. We use the Lyα line profiles from our previous LAE theoretical model... Read More about Determining the systemic redshift of Lyman α emitters with neural networks and improving the measured large-scale clustering.