2609.24588v1
LATED: Ly$α$-anchored photometric selection of candidate metal-free and extremely metal-poor star formation from the end of reionisation to cosmic noon
First listed 2026-09-22 | Last updated 2026-09-21
Abstract
Cosmological simulations allow a low-level tail of Population III (Pop III) star formation to persist to $z=2-6$. Spectroscopic confirmation is expensive, so an efficient photometric pre-selection is needed. We present LATED (Lyman-Alpha Tomography of Extremely Metal-poor Domains), which selects metal-free and extremely metal-poor candidates from a Ly$α$-emitter parent sample using strong-line diagnostics. The method requires three bands and two colours, $x=m_{\rm OIII}-m_{{\rm H}α}$ and $y=m_{{\rm H}α}-m_{\rm cont}$, which trace oxygen abundance and the H$α$ equivalent width, respectively. Requiring that the filters simultaneously contain [O III]+H$β$ and H$α$, together with a Ly$α$ parent selection, defines five windows spanning $z=1.92-6.60$ (four JWST/NIRCam, one Roman/WFI). The criteria, $x\geq x_{\rm min}(z)$ and $y\leq y_{\rm max}(z)$, are set by the per-redshift extrema of a forward-modelled Pop III template locus. Ordinary metal-enriched star-forming and AGN templates fall outside the selection region, and possible contaminants such as little red dots are flagged by their multi-band colours. To check contamination empirically, we apply LATED to 1126 JADES spectroscopic galaxies, and no source is selected in the four NIRCam windows. We release a Python package which converts the same photometry into R3=[O III]/H$β$ as a measurement or upper limit, reproducing JADES spectroscopy with small 0.12 dex scatter. Applied to 85 archival MUSE Ly$α$ emitters in Abell 2744, LATED recovers the confirmed extremely metal-poor galaxy AMORE6 and reveals three new candidates at $z=3-5$. Photometry alone cannot establish a metal-free nature. LATED delivers prioritised candidates for spectroscopic follow-up, providing a scalable route toward a systematic census of late-time Pop III star formation.
Short digest
Li et al. introduce LATED, a Lyα-emitter–anchored three-band selection that uses the contrast between [O III]+Hβ, Hα, and nearby continuum emission to isolate metal-free and extremely metal-poor star-formation candidates across five windows at z=1.92–6.60. The method rejects ordinary enriched star-forming and AGN templates, flags little red dots through additional colours, selects none of 1,126 JADES spectroscopic galaxies in the NIRCam windows, and recovers the confirmed extremely metal-poor Abell 2744 source AMORE6 while identifying three new z=3–5 candidates. Its accompanying photometric line-inference package recovers spectroscopic R3=[O III]/Hβ with 0.12 dex scatter, making LATED a scalable way to prioritize targets for the spectroscopy still required to establish genuinely metal-free star formation.
Key figures to inspect
- Figure 1. This workflow figure succinctly shows the full LATED logic: a tomographic Lyα-emitter parent sample, redshift-window construction, the EW(Hα)–oxygen-abundance colour plane, little-red-dot contaminant flags, and photometric line-ratio inference feeding spectroscopic follow-up.
- Figure 5. The W 2.1 selection plane demonstrates the core physical discriminator in practice: strong Hα combined with weak [O III]+Hβ places Pop III-like templates in a distinct colour corner, while the mock catalogue shows how photometric noise affects contamination and recovery.
- Figure 10. This figure supplies the redshift-dependent x and y boundaries that operationalize LATED across all five windows, clarifying that the selection follows the extrema of the forward-modelled Pop III locus rather than imposing a single fixed colour cut.
- Figure 15. The JADES validation directly supports the empirical cleanliness claim: 1,126 spectroscopically confirmed galaxies populate the four NIRCam colour planes but none satisfy the appropriate redshift-dependent LATED criteria.
- Figure 20. This validation figure tests the released three-band inference machinery against simulations and NIRSpec measurements, showing how photometric [O III]/Hβ estimates and upper limits connect the candidate selection to a quantitative metallicity-sensitive diagnostic.
Discussion
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