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Determining the systemic redshift of Lyman α emitters with neural networks and improving the measured large-scale clustering
We explore how to mitigate the clustering distortions in Lyman-$α$ emitters (LAEs) samples caused by the miss-identification of the Lyman-$α$ (Ly$α$) wavelength in their Ly$α$ line profiles. We use the Ly$α$ line profiles from our previous LAE theoretical model that includes radiative transfer in the interstellar and intergalactic mediums. We …