Lyman-α at cosmic noon I: Lyα spectral type selection of z ∼ 2 – 3 Lyman break galaxies with broadband imaging
Abstract
High-redshift Lyman break galaxies (LBGs) are efficiently selected in deep images using as few as three broadband filters, and have been shown to have multiple intrinsic and small- to large-scale environmental properties related to Lyman-α. In this paper we demonstrate a statistical relationship between net Lyman-α equivalent width (net Lyα EW) and the optical broadband photometric properties of LBGs at z ∼ 2. We show that LBGs with the strongest net Lyα EW in absorption (aLBGs) and strongest net Lyα EW in emission (eLBGs) separate into overlapping but discrete distributions in (U_n−R) colour and R-band magnitude space, and use this segregation behaviour to determine photometric selection criteria by which sub-samples with a desired Lyα spectral type can be selected using data from as few as three broadband optical filters. We propose application of our result to current and future large-area and all-sky photometric surveys that will select hundreds of millions of LBGs across many hundreds to thousands of Mpc, and for which spectroscopic follow-up to obtain Lyα spectral information is prohibitive. To this end, we use spectrophotometry of composite spectra derived from a sample of 798 LBGs divided into quartiles on the basis of net Lyα EW to calculate selection criteria for the isolation of Lyα-absorbing and Lyα-emitting populations of z ∼ 3 LBGs using ugri broadband photometric data from the Vera Rubin Observatory Legacy Survey of Space and Time (LSST).
Copyright and License
© The Author(s), 2023. Published by Cambridge University Press on behalf of the Astronomical Society of Australia. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
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Additional details
Related works
- Is new version of
- Discussion Paper: arXiv:2311.10985 (arXiv)
- Is supplemented by
- Dataset: https://github.com/lsst/throughputs/tree/main/baseline (URL)
Dates
- Accepted
-
2023-09-08