The nature of z ~ 2.3 Lyman-alpha emitters
Kim K. Nilsson (1,2), G\"oran \"Ostlin (3), Palle M{\o}ller (4), Ole, M\"oller-Nilsson (2), Christian Tapken (5), Wolfram Freudling (4), Johan, P.U. Fynbo (6) ((1) ST-ECF, (2) MPIA, (3) Stockholm University, (4) ESO, (5), AIP Potsdam, (6) DARK Copenhagen)

TL;DR
This study analyzes the multi-wavelength properties of 171 Ly-alpha emitters at redshift 2.25, revealing their diverse stellar populations, higher stellar masses, and dust contents compared to higher redshift counterparts, highlighting evolution in Ly-alpha galaxy characteristics.
Contribution
It provides a detailed characterization of Ly-alpha emitters at z=2.25, including their stellar masses, ages, and dust properties, and compares these with higher redshift populations, revealing evolutionary differences.
Findings
Ly-alpha emitters at z=2.25 have higher stellar masses and dust contents than those at higher redshifts.
Stellar masses are reliably derived from stacking analyses, but ages and dust extinctions are not.
Ly-alpha flux correlates with dust extinction, with fainter Ly-alpha galaxies having more dust.
Abstract
We study the multi-wavelength properties of a set of 171 Ly-alpha emitting candidates at redshift z = 2.25 found in the COSMOS field, with the aim of understanding the underlying stellar populations in the galaxies. We especially seek to understand what the dust contents, ages and stellar masses of the galaxies are, and how they relate to similar properties of Ly-alpha emitters at other redshifts. The candidates here are shown to have different properties from those of Ly-alpha emitters found at higher redshift, by fitting the spectral energy distributions (SEDs) using a Monte-Carlo Markov-Chain technique and including nebular emission in the spectra. The stellar masses, and possibly the dust contents, are higher, with stellar masses in the range log M_* = 8.5 - 11.0 M_sun and A_V = 0.0 - 2.5 mag. Young population ages are well constrained, but the ages of older populations are…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
