2023
DOI: 10.1017/pasa.2023.48
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Lyman-α at cosmic noon I: Lyα spectral type selection ofz∼ 2 – 3 Lyman break galaxies with broadband imaging

Garry Foran,
Jeff Cooke,
Naveen Reddy
et al.

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 EWin absorption (aLBGs) and strongest net Lyα EWin emiss… Show more

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“…In Paper I in this series (Foran et al 2023), we report the photometric segregation of LBGs versus net Ly EW in rest-frame UV colour–magnitude space, and derive criteria for the selection of pure samples of LBGs with Ly dominant in absorption and Ly dominant in emission on the basis of optical broadband imaging alone. Together with the analogous result of Cooke (2009), we have suggested the utility of this method to study a wide range of properties known to be associated with Ly (see Section 3.3.3), in large samples and over large scales in datasets from current and future large-area and all-sky photometric surveys such as the Vera Rubin Observatory Legacy Survey of Space and Time (LSST: Ivezić et al 2019).…”
Section: Discussionmentioning
confidence: 99%
“…In Paper I in this series (Foran et al 2023), we report the photometric segregation of LBGs versus net Ly EW in rest-frame UV colour–magnitude space, and derive criteria for the selection of pure samples of LBGs with Ly dominant in absorption and Ly dominant in emission on the basis of optical broadband imaging alone. Together with the analogous result of Cooke (2009), we have suggested the utility of this method to study a wide range of properties known to be associated with Ly (see Section 3.3.3), in large samples and over large scales in datasets from current and future large-area and all-sky photometric surveys such as the Vera Rubin Observatory Legacy Survey of Space and Time (LSST: Ivezić et al 2019).…”
Section: Discussionmentioning
confidence: 99%