Title: Data-Driven Insights into Lyman Alpha Emitters with DESI
Abstract: Lyman-Alpha Emitters (LAEs) are young, metal-poor, star-forming galaxies with significant Lya emission and are often used as tracers of large-scale structure at high redshift. Using spectra of LAEs from the Dark Energy Spectroscopic Instrument (DESI), we present a Bayesian component separation technique to automatically determine spectroscopic redshifts for LAEs while marginalizing over sky lines. We then use this method to explore the relationship between the Lya line profile shape and environmental density in LAEs selected with narrow-band photometry. At z = 3.1, the spectra show significantly higher Lya line flux for galaxies in denser environments, indicating an overdensity of ionized gas in these regions. The intrinsic line shape remains constant across densities, indicating that LAEs are reliable cosmological probes. Finally, we present a preliminary cross-correlation of LAE positions and absorption features of the Lyman-Alpha forest, providing insights into the distribution of absorbing gas around LAEs and providing essential scaffolding for upcoming large-scale cosmological analyses.
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