Open Access
Issue
A&A
Volume 708, April 2026
Article Number L2
Number of page(s) 6
Section Letters to the Editor
DOI https://doi.org/10.1051/0004-6361/202558660
Published online 25 March 2026

© The Authors 2026

Licence Creative CommonsOpen Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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1. Introduction

The epoch of reionization (EoR) marks the last main phase transition of the Universe, when the first stars and galaxies revealed their presence by ionizing the surrounding neutral hydrogen (H I; e.g., Loeb & Furlanetto 2013). While the reionization timeline is increasingly well constrained (z ≃ 6–9; e.g., Fan et al. 2006; Mason et al. 2019, 2026; Planck Collaboration VI 2020), the nature of the dominant ionizing sources remains elusive. Faint, low-mass galaxies have been proposed as the primary contributors to the ionizing photon budget (e.g., Finkelstein et al. 2019; Simmonds et al. 2024), although the role of massive galaxies is not yet fully understood, as they may also produce substantial Lyman continuum (LyC) emission (e.g., Naidu et al. 2020; Marques-Chaves et al. 2024). Direct measurements of ionizing UV radiation (λ < 912 Å) are prevented at z ≳ 4.5 by the high opacity of the intergalactic medium (IGM Worseck et al. 2014; Inoue et al. 2014). Thus, current efforts focus on low-redshift LyC emitters (e.g., Flury et al. 2022a; Jaskot et al. 2024a) as analogs of z > 6 galaxies to calibrate indirect diagnostics of LyC leakage applicable in the EoR. Recent work highlighted the multiparameter nature of LyC leakage, requiring correlations with diverse physical properties to be established through multivariate approaches. For instance, Jaskot et al. (2024a), analyzed 35 local (z ∼ 0.3) LyC emitters (Flury et al. 2022a,b) and identified several key diagnostics: the EW of Lyman absorption features, the UV β slope (see also Chisholm et al. 2022), Lyα peak separation and shift, the Lyα escape fraction (see also Dijkstra et al. 2016), dust excess E(B − V)neb, the star formation rate surface density, and the O32 index ([OIII]4959,5007/[OII]3727). These diagnostics have also been applied to a handful of confirmed LyC emitters at intermediate redshift (1 < z < 4; Jaskot et al. 2024b), and they now provide a framework for probing reionization-era sources, particularly with JWST access to rest-frame optical lines at z = 6–9 (e.g., Mascia et al. 2024). In parallel, radiative transfer models predict a tight connection between LyC escape and Lyα spectral properties (e.g., Behrens et al. 2014; Verhamme et al. 2015; Monter et al. 2026). Observations and radiative transfer models confirm that galaxies with multipeaked Lyα profiles and a narrow peak close to systemic are likely optically thin to LyC (e.g., Schaerer et al. 2011; Verhamme et al. 2017, 2018; Izotov et al. 2018, 2021; Vanzella et al. 2020; Naidu et al. 2022). The Lyα peak separation is controlled by the residual H I column density of the carved channels, and the line asymmetry correlates with the porosity and multiphase structure of the H II region (e.g., Kakiichi & Gronke 2021). However, the increasing IGM neutrality during the EoR (partially) suppresses and reshapes Lyα, limiting its diagnostic power (e.g., Pentericci et al. 2014; Garel et al. 2021; Mason et al. 2026). Mitigating cases arise for sources located in ionized bubbles around luminous z ≃ 6 quasars (e.g., Protušová et al. 2025) or along unusually transparent sightlines (Matthee et al. 2018), where double-peaked Lyα emission with a narrow peak separation has been observed up to z ≃ 6.5, pointing to nonzero LyC escape.

In this Letter, we revisit the extremely metal-poor source AMORE6, which was recently identified by Morishita et al. (2025) with 12 + log(O/H) < 6, in the context of escaping ionizing radiation. AMORE6 is a remarkably faint (M1700 ≃ −14.5), compact (Reff ∼ 30 pc) galaxy at z = 5.725 that is strongly magnified by the galaxy cluster A2744. Beyond its extraordinary low metallicity and luminosity, its unprecedented Lyα spectral properties provide compelling evidence for substantial ionizing photon escape at z ≃ 6, opening a new window on the nature of reionization-era galaxies. Throughout the Letter, we assume a flat cosmology with ΩM = 0.3, ΩΛ = 0.7, and H0 = 70 km s−1 Mpc−1. All magnitudes are given in the AB system (Oke & Gunn 1983): mAB = 23.9 − 2.5log(fν/μJy).

2. Analysis

The analysis of the rest-optical spectrum1, in particular, the Hβ emission, was presented by Morishita et al. 2025 (hereafter M25). The Hβ redshift from M25 is adopted here as the systemic redshift of AMORE6 (see Table 1); in a conservative approach, we considered its 3σ uncertainty. From the same analysis, the UV magnitude of the AMORE6-B counter-image and its UV β slope were used to estimate the expected continuum at the Lyα wavelength. The flux from image A is contaminated by the light from three foreground sources; for this reason, its magnitude was not reported by M25. In addition, image B has the strongest magnification (μ ≃ 77, compared to μ ≃ 39 for AMORE6-A; Bergamini et al. 2023), and thus, we considered AMORE6-B as the reference for this spectral analysis; we verified that the main results of this work remain unchanged when A is considered instead (see Table 1).

Table 1.

Lyα-related properties of AMORE6.

The analysis of the rest-UV spectrum was based on observations from the Multi Unit Spectroscopic Explorer (MUSE) and X-shooter instruments, on the Very Large Telescope (VLT). The MUSE data we used were described by Mahler et al. (2018) and Bergamini et al. (2023). X-shooter observations (PI T. Morishita, DDT, prog.id. 115.29G6.001) were carried out between August and September 2025 with a median seeing of 1 . 0 0.2 + 0.1 Mathematical equation: $ 1.0_{-0.2}^{+0.1} $ arcsec for a total integration time on source of 11 h. The full dataset will be presented in a forthcoming work (Morishita et al. in prep.). Briefly, we used science ESO level 2 products, specifically focusing on the visual arm (VIS), where the Lyα lies. The Lyα emission is clearly detected in each OB with a signal-to-noise ratio S/N > 15. All OBs were visually inspected and aligned in four cases along the spatial direction by 1 pixel (measuring the Lyα peak), averaged, and the one-dimensional spectrum was extracted by centering on the source AMORE6-B from a window enclosing 10 spatial pixels (1.6″; Fig. 1). The spectrum was converted from air into vacuum reference wavelength and was then corrected to the barycentric radial velocity2 (through astropy). The resulting Lyα emission sampled at a spectral resolution R ≃ 8900 is shown in Fig. 2. The line location is fully consistent with the location inferred from MUSE (see Table 1). The MUSE spectrum was also used to calibrate the X-shooter Lyα flux, in order to correct for the slit loss.

Thumbnail: Fig. 1. Refer to the following caption and surrounding text. Fig. 1.

Left: NIRCam stacking of the SW bands. The red contours highlight the extent of the Lyα emission, and the blue contour encloses the rest-UV emission of AMORE6-B. Middle: Lyα flux from VLT/MUSE; a faint emission from a low-magnification third counter-image (AMORE6-C) is also visible. Right: Zoomed two-dimensional X-shooter spectrum centered on the Lyα wavelength from 8163 Å to 8184 Å. The dotted lines show the region we used to extract spectra.

We fit the line with specutils/astropy using Gaussian profiles. The fit quantities are reported in Table 1.

3. Results

Figure 2 shows the VLT/X-shooter Lyα line extracted from AMORE6-B; the line is detected at an S/N ≃ 40, centered at λ = 8175.81 ± 0.08 Å (vacuum), corresponding to z = 5.7254 ± 0.0001 (for a rest-frame Lyα wavelength of 1215.67 Å). The rest-frame equivalent width is 150 ± 10 Å. Two unprecedented properties emerge at this high redshift: (1) the velocity offset with respect the systemic redshift is dv = 4 ± 67 km s−1, which is fully consistent with emission located at the resonance frequency (dv = 0); (2) even at the high spectral resolution of X-shooter (dλ ≃ 0.92 Å, corresponding to ≃ 34 km s−1), the line profile is nearly symmetric and narrow, with a measured FWHM of 1.83 ± 0.03 Å, or 58 ± 1 km s−1, after correcting for instrumental broadening. The line is slightly asymmetric, which we quantified with the red/blue asymmetry parameter (ARB), that is, the flux difference redward and blueward of the observed line peak, normalized by the line flux; the value A RB = 0 . 12 0.05 + 0.04 Mathematical equation: $ \rm A_{RB} = 0.12^{+0.04}_{-0.05} $ indicates a flux excess of ∼10% on the red side of the line. Similar results emerge from the nonparametric percentile asymmetry parameter, defined as A PERC = ( λ 90 λ 50 ) ( λ 50 λ 10 ) ( λ 90 λ 10 ) Mathematical equation: $ _{\mathrm{PERC}} = \frac{(\lambda_{90} - \lambda_{50})-(\lambda_{50}-\lambda_{10})}{(\lambda_{90}-\lambda_{10})} $, which shows APERC = 0.11 ± 0.06, which is still close to symmetry with a faint excess toward the red side. We point out that overall consistent results were obtained when the Lyα from the AMORE6-A image was considered (Table 1 for details). Although the spectral resolution is lower by 2.5 times, the analysis of the MUSE spectrum also recovers similar properties (Table 1).

Thumbnail: Fig. 2. Refer to the following caption and surrounding text. Fig. 2.

Observed profile of the Lyα emission for AMORE6-B (black line), best-fit profile (solid red), best-fit central wavelength (dashed red), systemic redshift (and relative uncertainty) from Morishita et al. (2025, solid blue lines and shaded region). The (lower-resolution) MUSE spectrum is shown as the dashed black line.

These properties have never been observed so clearly at this redshift. Recently, Saxena et al. (2024) and Prieto-Lyon et al. (2025) identified few galaxies showing an emerging Lyα line at the systemic redshift (i.e., very small dv), within a large sample of Lyman-alpha emitters (LAEs) at 5 < z < 8 (Appendix A). However, in most cases, the line profile is larger than what is measured in AMORE6 (FWHM ≳ 200 km s−1) and the asymmetry is very pronounced, indicating the effect of gas reprocessing of the line. In the remaining cases, the S/N is too low for us to infer the line profiles. We point out that z ≳ 4 LAEs studied in the literature (including other galaxies magnified by gravitational lensing) are brighter by about 4–6 magnitudes than AMORE6, MUV ≲ −18 (see Appendix A). The comparison with confirmed LyC leakers at lower redshifts (z ≤ 4) showing Lyα at the systemic velocity (e.g., Sunburst, Rivera-Thorsen et al. 2019 and Vanzella et al. 2022; Ion3, Vanzella et al. 2018 and Meštrić et al. 2025; Ion2, Vanzella et al. 2020), together with radiative transfer models (see below) indicates that AMORE6 might be the most promising LyC-leaking candidate known to date at z ≃ 6.

In dense H I environments, Lyα photons scatter until they shift out of resonance, producing broad profiles with little flux at systemic and widely separated peaks. In contrast, in AMORE6, all of the Lyα flux emerges close to resonance, suggesting extremely low column densities and likely ionized channels that perforate the ISM. In particular, given the steep ultraviolet slope (β = −2.77, Fλ ∝ λβ) and the extremely low metallicity (12 + log(O/H) < 6; M25), the observed Lyα emission is expected to be negligibly affected by dust attenuation and only weakly affected by neutral gas damping. A similar conclusion can be inferred from radiative transfer (RT) models (e.g., Behrens et al. 2014; Almada Monter & Gronke 2024), which show that densities as low as NHI ≳ 1016 cm−2 are reflected in asymmetric and/or multipeaked Lyα profiles, displaced from the systemic redshift (in the expanding-shell scenario, with low to moderate expansion velocities, vexp ≲ 100 km s−1; Verhamme et al. 2015, 2018; see our Appendix B). The optical depth of Lyα photons is indeed higher by ∼104 times than that of LyC photons (e.g., Verhamme et al. 2015), and the detection of copious Lyα emission that peaks at the line center would therefore indicate column densities that are sufficiently low to imply a large escape fraction of ionizing photons (fesc, LyC ≃ 0.5–1.0).

The low column density we derived might imply an ionized channel along the line of sight. Alternatively, the observed line profile might be the sign of a clumpy ISM with a low covering fraction. A perforated dense neutral ISM may still give rise to a double-peak profile that surrounds the central profle (e.g., Rivera-Thorsen et al. 2017; Almada Monter & Gronke 2024; Monter et al. 2026), as observed in some confirmed leakers, (e.g., Rivera-Thorsen et al. 2019; Vanzella et al. 2018, 2020). The absence of multiple Lyα peaks in the observed spectrum suggests that the ISM around AMORE6 has a low covering fraction overall. From simulations that coupled Lyα transfer with detailed radiation hydrodynamics in individual H II regions, Kakiichi & Gronke (2021) studied the interplay between Lyα and LyC escape and suggested that the shape of the main Lyα peak can distinguish between anisotropic LyC leakage through holes in a turbulent H II region (indicated by asymmetry within the red peak in a double-peaked profile) and isotropic LyC leakage from a fully density-bounded H II region (symmetric profile). AMORE6 would then represent the first likely example of an isotropic LyC emitter at z ≃ 6.

In this likely scenario, the narrow Lyα line resolved with X-shooter and its nearly symmetric profile suggest that the blue wing is only weakly affected by absorption of the intergalactic medium, which at z = 5.7 might otherwise attenuate more than 50% of the total line flux (e.g., Laursen et al. 2011). As reported by M25, AMORE6 lies between two known overdensities that are each separated by ∼5 proper Mpc from the source. These structures might have generated an ionized region around AMORE6 that mitigates the expected IGM damping.

As a alternative to the main interpretation, RT models predict a relatively symmetric emission at systemic redshift at higher densities (NHI > 1017 cm−2) in case of fast-expanding gas shells (vexp ≫ 100 km s−1; Schaerer et al. 2011; see our Appendix B). Fast outflows like this are observed in massive and/or highly star-forming galaxies (M ≳ 109 M, SFR ≳ 1 M yr−1; Chisholm et al. 2015). However, we recall that AMORE6 is intrinsically a small and low-mass system, that is, it is closer to a massive star cluster or compact HII region, for which velocities < 100 km s−1 are expected (e.g., Tenorio-Tagle et al. 2015; Turner et al. 2015). In addition, studies of local LyC emitters found that LAE systems with the narrowest Lyα profile (as in the case of AMORE6) show the lowest velocities (e.g., Jaskot et al. 2017).

Finally, a further possibility to explain the observed Lyα emission at dv ≈ 0 km s−1 in case of high densities is a shift in the actual systemic redshift of AMORE6 by ∼ 100−200 km s−1; such a substantial difference would still be consistent with the redshift determined by M25 within 3σ, given the uncertainty associated with the Hβ line center (see Table 1). In this case, the observed Lyα would be a gas-processed red peak, where the absence of a blue peak might be attributed to the suppression by absorption from the IGM (e.g. Inoue et al. 2014; Garel et al. 2021). We stress, however, that even in this case, for gas densities > 1017 cm−2, the observed line would broaden and likely become asymmetric (as shown in Appendix B); the narrow and almost symmetric profile of the Lyα line that is robustly characterized at high spectral resolution strongly disfavor this scenario.

4. Final remarks

AMORE6 is an exceptional source for several reasons: (1) its currently inferred metallicity is the lowest known among high-redshift galaxies, making it a prime candidate pristine star-forming region (M25); (2) it is strongly lensed by a factor of ∼77 (Bergamini et al. 2023) and can therefore be spatially resolved down to ∼30 pc in the image plane; and (3) it represents the most compelling case of a Lyman-continuum leaker candidate identified during the epoch of reionization (along with the z ∼10 candidate from Marques-Chaves et al. 2026). Its Lyα emission properties are consistent with a HI column optically thin to LyC, which is indicative of a high global escape fraction.

Under these conditions, in which little (or no) radiative transfer reprocesses the Lyα line, its profile is expected to be consistent with the Balmer lines emitted from the same system. Unfortunately, as discussed in M25, the current low spectral resolution of Hβ from NIRCam-WFSS prevents a detailed comparison between the two. Deep NIRSpec observations with a high spectral resolution are needed to characterize the shape of the Balmer lines (and possibly measure the gas expansion velocity), to refine the systemic redshift, and to search for additional emission lines.

Acknowledgments

We thank the anonymous referee for the useful comments and suggestions which helped improving the draft. MM and EV acknowledge financial support through grants INAF GO Grant 2022 “The revolution is around the corner: JWST will probe globular cluster precursors and Population III stellar clusters at cosmic dawn” and INAF GO Grant 2024 “Mapping Star Cluster Feedback in a Galaxy 450 Myr after the Big Bang”, and by the European Union – NextGenerationEU within PRIN 2022 project n.20229YBSAN - Globular clusters in cosmological simulations and lensed fields: from their birth to the present epoch. TM received support from NASA through the STScI grant JWST-GO-3990. MS acknowledges partial support through NASA grant 80NSSC21K1294. This research has used NASA’s Astrophysics Data System, QFitsView, and SAOImageDS9, developed by Smithsonian Astrophysical Observatory. Additionally, this work made use of the following open-source packages for Python, and we are thankful to the developers of these: Matplotlib (Hunter 2007), Numpy (van der Walt et al. 2011), Astropy (Astropy Collboration 2022) (http://www.astropy.org).

References

  1. Almada Monter, S., & Gronke, M. 2024, MNRAS, 534, L7 [NASA ADS] [CrossRef] [Google Scholar]
  2. Astropy Collboration (Price-Whelan, A. M., et al.) 2022, ApJ, 935, 167 [NASA ADS] [CrossRef] [Google Scholar]
  3. Behrens, C., Dijkstra, M., & Niemeyer, J. C. 2014, A&A, 563, A77 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Bergamini, P., Acebron, A., Grillo, C., et al. 2023, ApJ, 952, 84 [NASA ADS] [CrossRef] [Google Scholar]
  5. Chisholm, J., Tremonti, C. A., Leitherer, C., et al. 2015, ApJ, 811, 149 [NASA ADS] [CrossRef] [Google Scholar]
  6. Chisholm, J., Saldana-Lopez, A., Flury, S., et al. 2022, MNRAS, 517, 5104 [CrossRef] [Google Scholar]
  7. Claeyssens, A., Richard, J., Blaizot, J., et al. 2019, MNRAS, 489, 5022 [Google Scholar]
  8. Dijkstra, M., Gronke, M., & Venkatesan, A. 2016, ApJ, 828, 71 [Google Scholar]
  9. Fan, X., Carilli, C. L., & Keating, B. 2006, ARA&A, 44, 415 [Google Scholar]
  10. Finkelstein, S. L., D’Aloisio, A., Paardekooper, J.-P., et al. 2019, ApJ, 879, 36 [Google Scholar]
  11. Flury, S. R., Jaskot, A. E., Ferguson, H. C., et al. 2022a, ApJS, 260, 1 [NASA ADS] [CrossRef] [Google Scholar]
  12. Flury, S. R., Jaskot, A. E., Ferguson, H. C., et al. 2022b, ApJ, 930, 126 [NASA ADS] [CrossRef] [Google Scholar]
  13. Garel, T., Blaizot, J., Rosdahl, J., et al. 2021, MNRAS, 504, 1902 [NASA ADS] [CrossRef] [Google Scholar]
  14. Garel, T., Michel-Dansac, L., Verhamme, A., et al. 2024, A&A, 691, A213 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  16. Inoue, A. K., Shimizu, I., Iwata, I., & Tanaka, M. 2014, MNRAS, 442, 1805 [NASA ADS] [CrossRef] [Google Scholar]
  17. Izotov, Y. I., Thuan, T. X., Guseva, N. G., & Liss, S. E. 2018, MNRAS, 473, 1956 [NASA ADS] [CrossRef] [Google Scholar]
  18. Izotov, Y. I., Worseck, G., Schaerer, D., et al. 2021, MNRAS, 503, 1734 [NASA ADS] [CrossRef] [Google Scholar]
  19. Jaskot, A. E., Oey, M. S., Scarlata, C., & Dowd, T. 2017, ApJ, 851, L9 [NASA ADS] [CrossRef] [Google Scholar]
  20. Jaskot, A. E., Silveyra, A. C., Plantinga, A., et al. 2024a, ApJ, 972, 92 [NASA ADS] [CrossRef] [Google Scholar]
  21. Jaskot, A. E., Silveyra, A. C., Plantinga, A., et al. 2024b, ApJ, 973, 111 [NASA ADS] [CrossRef] [Google Scholar]
  22. Kakiichi, K., & Gronke, M. 2021, ApJ, 908, 30 [CrossRef] [Google Scholar]
  23. Laursen, P., Sommer-Larsen, J., & Razoumov, A. O. 2011, ApJ, 728, 52 [Google Scholar]
  24. Loeb, A., & Furlanetto, S. R. 2013, The First Galaxies in the Universe [Google Scholar]
  25. Mahler, G., Richard, J., Clément, B., et al. 2018, MNRAS, 473, 663 [Google Scholar]
  26. Mainali, R., Kollmeier, J. A., Stark, D. P., et al. 2017, ApJ, 836, L14 [Google Scholar]
  27. Marques-Chaves, R., Schaerer, D., Vanzella, E., et al. 2024, A&A, 691, A87 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  28. Marques-Chaves, R., Álvarez-Márquez, J., Colina, L., et al. 2026, A&A, submitted [arXiv:2602.02322] [Google Scholar]
  29. Mascia, S., Pentericci, L., Calabrò, A., et al. 2024, A&A, 685, A3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  30. Mason, C. A., Fontana, A., Treu, T., et al. 2019, MNRAS, 485, 3947 [NASA ADS] [CrossRef] [Google Scholar]
  31. Mason, C. A., Chen, Z., Stark, D. P., et al. 2026, A&A, 705, A114 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. Matthee, J., Sobral, D., Gronke, M., et al. 2018, A&A, 619, A136 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Messa, M., Dessauges-Zavadsky, M., Adamo, A., Richard, J., & Claeyssens, A. 2024, MNRAS, 529, 2162 [CrossRef] [Google Scholar]
  34. Messa, M., Vanzella, E., Loiacono, F., et al. 2025, A&A, 694, A59 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. Meštrić, U., Vanzella, E., Beckett, A., et al. 2025, A&A, 698, A203 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Monter, S. A., Gronke, M., & Chang, S. J. 2026, MNRAS, 547, stag330 [Google Scholar]
  37. Morishita, T., Liu, Z., Stiavelli, M., et al. 2025, ArXiv e-prints [arXiv:2507.10521] [Google Scholar]
  38. Naidu, R. P., Tacchella, S., Mason, C. A., et al. 2020, ApJ, 892, 109 [NASA ADS] [CrossRef] [Google Scholar]
  39. Naidu, R. P., Matthee, J., Oesch, P. A., et al. 2022, MNRAS, 510, 4582 [CrossRef] [Google Scholar]
  40. Naidu, R. P., Matthee, J., Kramarenko, I., et al. 2024, Open J. Astrophys., submitted [arXiv:2410.01874] [Google Scholar]
  41. Oke, J. B., & Gunn, J. E. 1983, ApJ, 266, 713 [NASA ADS] [CrossRef] [Google Scholar]
  42. Pentericci, L., Vanzella, E., Fontana, A., et al. 2014, ApJ, 793, 113 [NASA ADS] [CrossRef] [Google Scholar]
  43. Planck Collaboration VI. 2020, A&A, 641, A6 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  44. Prieto-Lyon, G., Mason, C. A., Strait, V., et al. 2025, A&A, submitted [arXiv:2509.18302] [Google Scholar]
  45. Protušová, K., Bosman, S. E. I., Wang, F., et al. 2025, A&A, 700, A218 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Rivera-Thorsen, T. E., Dahle, H., Gronke, M., et al. 2017, A&A, 608, L4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  47. Rivera-Thorsen, T. E., Dahle, H., Chisholm, J., et al. 2019, Science, 366, 738 [Google Scholar]
  48. Saxena, A., Bunker, A. J., Jones, G. C., et al. 2024, A&A, 684, A84 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  49. Schaerer, D., Hayes, M., Verhamme, A., & Teyssier, R. 2011, A&A, 531, A12 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Simmonds, C., Tacchella, S., Hainline, K., et al. 2024, MNRAS, 527, 6139 [Google Scholar]
  51. Swinbank, A. M., Webb, T. M., Richard, J., et al. 2009, MNRAS, 400, 1121 [NASA ADS] [CrossRef] [Google Scholar]
  52. Tang, M., Stark, D. P., Ellis, R. S., et al. 2024, MNRAS, 531, 2701 [NASA ADS] [CrossRef] [Google Scholar]
  53. Tenorio-Tagle, G., Muñoz-Tuñón, C., Silich, S., & Cassisi, S. 2015, ApJ, 814, L8 [Google Scholar]
  54. Turner, J. L., Beck, S. C., Benford, D. J., et al. 2015, Nature, 519, 331 [NASA ADS] [CrossRef] [Google Scholar]
  55. van der Walt, S., Colbert, S. C., & Varoquaux, G. 2011, Comput. Sci. Eng., 13, 22 [Google Scholar]
  56. Vanzella, E., Nonino, M., Cupani, G., et al. 2018, MNRAS, 476, L15 [Google Scholar]
  57. Vanzella, E., Calura, F., Meneghetti, M., et al. 2019, MNRAS, 483, 3618 [Google Scholar]
  58. Vanzella, E., Caminha, G. B., Calura, F., et al. 2020, MNRAS, 491, 1093 [Google Scholar]
  59. Vanzella, E., Castellano, M., Bergamini, P., et al. 2022, A&A, 659, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  60. Verhamme, A., Orlitová, I., Schaerer, D., & Hayes, M. 2015, A&A, 578, A7 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  61. Verhamme, A., Orlitová, I., Schaerer, D., et al. 2017, A&A, 597, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  62. Verhamme, A., Garel, T., Ventou, E., et al. 2018, MNRAS, 478, L60 [Google Scholar]
  63. Witstok, J., Smit, R., Maiolino, R., et al. 2021, MNRAS, 508, 1686 [NASA ADS] [CrossRef] [Google Scholar]
  64. Worseck, G., Prochaska, J. X., O’Meara, J. M., et al. 2014, MNRAS, 445, 1745 [NASA ADS] [CrossRef] [Google Scholar]

1

From the NIRCam WFSS Cycle 2 program “All the Little Things”, GO 3516; PIs: Matthee & Naidu, (see Naidu et al. 2024).

2

To make it consistent with the NIRCam-WFSS spectrum of M25.

Appendix A: Literature samples of LAEs at z> 4.

Recent studies by Tang et al. (2024), Saxena et al. (2024) and Prieto-Lyon et al. (2025) put together a large sample of LAEs, including Lyα line profiles, at similar redshifts to AMORE6. More specifically, Prieto-Lyon et al. (2025) first provided a statistical sample of Lyα FWHM at z ∼ 5–6. The main Lyα-related properties of these samples are shown in Fig. A.1. In addition various lensed LAEs in the same redshift range have been studied in the literature (though none intrinsically as faint as AMORE6); we collect their main properties and relative references in Table A.1. Overall, while few galaxies have a Lyα emission very close to the systemic redshift (dv ∼ 0 km/s), AMORE6 is the only case with a narrow Lyα profile (FWHM < 100 km/s) robustly detected (right panel of Fig. A.1).

Thumbnail: Fig. A.1. Refer to the following caption and surrounding text. Fig. A.1.

Comparison of the Lyα properties of AMORE6 with literature samples of galaxies at z > 4. Left: shift of the Lyα peak relative to systemic (dv) versus rest-frame Lyα EW; literature samples from Tang et al. (2024), Saxena et al. (2024), Prieto-Lyon et al. (2025), references for the lensed-galaxies sample in Table A.1. Center: EW(Lyα) versus MUV; AMORE6 is 4 − 5 mag fainter than the comparison average. Right:dv versus FWHMLyα for cases with both measurements.

Table A.1.

Lyα properties of lensed LAEs at z > 4 from the literature.

Appendix B: Comparison to radiative transfer models

We fit AMORE6 with the grid of idealized Lyα radiative-transfer models from Garel et al. (2024) accounting for the instrumental broadening and identified two families of acceptable solutions, both implying very low effective opacity: (i) very fast outflows, or (ii) extremely low H I columns. Figure B.1 shows the best–fit models for each family, alongside variants in which all parameters are fixed to the best–fit values except NHI (to illustrate its dominant impact on the Lyα profile).

Thumbnail: Fig. B.1. Refer to the following caption and surrounding text. Fig. B.1.

Emergent Lyα line profiles from a grid of idealized radiative-transfer models (see text). Left: high-velocity shell (Vmax = 750 km s−1); varying NHI shows that log(NHI) ≲ 20 reproduces the observed profile but requires an extreme outflow. Right: low-velocity case (Vmax = 100 km s−1); matching the data demands very low columns, log(NHI) ≲ 14. Both panels assume the systemic redshift z = 5.7253.

In the high-velocity family, the preferred solution adopts NHI = 1020 cm−2 to reproduce the modest red wing; however faint residuals of this wing (almost consistent with the observational noise level) extend up to redder wavelengths than observed. Models with lower NHI are essentially indistinguishable and recover the intrinsic line shape because the effective opacity is negligible, whereas higher NHI suppress near–systemic photons and fail to match the data. However, such an extreme outflow (Vmax ≈ 750 km s−1) is probably unlikely for an H II region/star cluster (e.g., Turner et al. 2015; Tenorio-Tagle et al. 2015). Restricting the search to Vmax ≤ 100 km s−1, good fits are obtained only with very low columns, with a best fit at NHI ≈ 1014 cm−2; larger densities inevitably shifts the Lyα peak redward of systemic and degrades the fit. Under the hypothesis of low velocity of the expanding shell, this strongly indicates that the line–of–sight NHI in AMORE6 is extremely low, consistent with a high LyC escape fraction.

A caveat is the IGM opacity at this redshift, which is not included in our forward models and could attenuate the blue side of the line. The observed profile’s near symmetry suggests this effect is modest, but it does not alter the conclusion that AMORE6 exhibits very low effective neutral columns.

All Tables

Table 1.

Lyα-related properties of AMORE6.

Table A.1.

Lyα properties of lensed LAEs at z > 4 from the literature.

All Figures

Thumbnail: Fig. 1. Refer to the following caption and surrounding text. Fig. 1.

Left: NIRCam stacking of the SW bands. The red contours highlight the extent of the Lyα emission, and the blue contour encloses the rest-UV emission of AMORE6-B. Middle: Lyα flux from VLT/MUSE; a faint emission from a low-magnification third counter-image (AMORE6-C) is also visible. Right: Zoomed two-dimensional X-shooter spectrum centered on the Lyα wavelength from 8163 Å to 8184 Å. The dotted lines show the region we used to extract spectra.

In the text
Thumbnail: Fig. 2. Refer to the following caption and surrounding text. Fig. 2.

Observed profile of the Lyα emission for AMORE6-B (black line), best-fit profile (solid red), best-fit central wavelength (dashed red), systemic redshift (and relative uncertainty) from Morishita et al. (2025, solid blue lines and shaded region). The (lower-resolution) MUSE spectrum is shown as the dashed black line.

In the text
Thumbnail: Fig. A.1. Refer to the following caption and surrounding text. Fig. A.1.

Comparison of the Lyα properties of AMORE6 with literature samples of galaxies at z > 4. Left: shift of the Lyα peak relative to systemic (dv) versus rest-frame Lyα EW; literature samples from Tang et al. (2024), Saxena et al. (2024), Prieto-Lyon et al. (2025), references for the lensed-galaxies sample in Table A.1. Center: EW(Lyα) versus MUV; AMORE6 is 4 − 5 mag fainter than the comparison average. Right:dv versus FWHMLyα for cases with both measurements.

In the text
Thumbnail: Fig. B.1. Refer to the following caption and surrounding text. Fig. B.1.

Emergent Lyα line profiles from a grid of idealized radiative-transfer models (see text). Left: high-velocity shell (Vmax = 750 km s−1); varying NHI shows that log(NHI) ≲ 20 reproduces the observed profile but requires an extreme outflow. Right: low-velocity case (Vmax = 100 km s−1); matching the data demands very low columns, log(NHI) ≲ 14. Both panels assume the systemic redshift z = 5.7253.

In the text

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