Most of the photons that reionized the Universe came from dwarf galaxies.
Journal
Nature
ISSN: 1476-4687
Titre abrégé: Nature
Pays: England
ID NLM: 0410462
Informations de publication
Date de publication:
Feb 2024
Feb 2024
Historique:
received:
16
08
2023
accepted:
08
01
2024
medline:
29
2
2024
pubmed:
29
2
2024
entrez:
28
2
2024
Statut:
ppublish
Résumé
The identification of sources driving cosmic reionization, a major phase transition from neutral hydrogen to ionized plasma around 600-800 Myr after the Big Bang
Identifiants
pubmed: 38418911
doi: 10.1038/s41586-024-07043-6
pii: 10.1038/s41586-024-07043-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
975-978Informations de copyright
© 2024. The Author(s), under exclusive licence to Springer Nature Limited.
Références
Dayal, P. & Ferrara, A. Early galaxy formation and its large-scale effects. Phys. Rep. 780–782, 1–64 (2018).
doi: 10.1016/j.physrep.2018.10.002
Mason, C. A., Naidu, R. P., Tacchella, S. & Leja, J. Model-independent constraints on the hydrogen-ionizing emissivity at z > 6. Mon. Not. R. Astron. Soc. 489, 2669–2676 (2019).
doi: 10.1093/mnras/stz2291
Robertson, B. E. et al. Identification and properties of intense star-forming galaxies at redshifts z > 10. Nat. Astron. 7, 611–621 (2023).
Robertson, B. E. Galaxy formation and reionization: key unknowns and expected breakthroughs by the James Webb Space Telescope. Annu. Rev. Astron. Astrophys. 60, 121–158 (2022).
doi: 10.1146/annurev-astro-120221-044656
Madau, P. & Haardt, F. Cosmic reionization after Planck: could quasars do it all? Astrophys. J. Lett. 813, L8 (2015).
doi: 10.1088/2041-8205/813/1/L8
Mitra, S., Choudhury, T. R. & Ferrara, A. Cosmic reionization after Planck II: contribution from quasars. Mon. Not. R. Astron. Soc. 473, 1416–1425 (2018).
doi: 10.1093/mnras/stx2443
Naidu, R. P. et al. Rapid reionization by the oligarchs: the case for massive, UV-bright, star-forming galaxies with high escape fractions. Astrophys. J. 892, 109 (2020).
doi: 10.3847/1538-4357/ab7cc9
Finkelstein, S. L. et al. Conditions for reionizing the Universe with a low galaxy ionizing photon escape fraction. Astrophys. J. 879, 36 (2019).
doi: 10.3847/1538-4357/ab1ea8
Dayal, P. et al. Reionization with galaxies and active galactic nuclei. Mon. Not. R. Astron. Soc. 495, 3065–3078 (2020).
doi: 10.1093/mnras/staa1138
Finkelstein, S. L. et al. The evolution of the galaxy rest-frame ultraviolet luminosity function over the first two billion years. Astrophys. J. 810, 71 (2015).
doi: 10.1088/0004-637X/810/1/71
Bouwens, R. J. et al. UV luminosity functions at redshifts z ∼ 4 to z ∼ 10: 10,000 galaxies from HST legacy fields. Astrophys. J. 803, 34 (2015).
doi: 10.1088/0004-637X/803/1/34
Robertson, B. E., Ellis, R. S., Furlanetto, S. R. & Dunlop, J. S. Cosmic reionization and early star-forming galaxies: a joint analysis of new constraints from Planck and the Hubble Space Telescope. Astrophys. J. Lett. 802, L19 (2015).
doi: 10.1088/2041-8205/802/2/L19
Bunker, A. J. et al. JADES NIRSpec initial data release for the Hubble Ultra Deep Field: redshifts and line fluxes of distant galaxies from the deepest JWST Cycle 1 NIRSpec Multi-Object spectroscopy. Preprint at https://doi.org/10.48550/arXiv.2306.02467 (2023).
Roberts-Borsani, G. et al. The nature of an ultra-faint galaxy in the cosmic dark ages seen with JWST. Nature 618, 480–483 (2023).
pubmed: 37198479
doi: 10.1038/s41586-023-05994-w
Mascia, S. et al. Closing in on the sources of cosmic reionization: first results from the GLASS-JWST program. Astron. Astrophys. 672, A155 (2023).
doi: 10.1051/0004-6361/202345866
Ishigaki, M. et al. Full-data results of Hubble Frontier Fields: UV luminosity functions at z ∼ 6–10 and a consistent picture of cosmic reionization. Astrophys. J. 854, 73 (2018).
doi: 10.3847/1538-4357/aaa544
Atek, H. et al. Are ultra-faint galaxies at z = 6–8 responsible for cosmic reionization? Combined constraints from the Hubble Frontier Fields clusters and parallels. Astrophys. J. 814, 69 (2015).
doi: 10.1088/0004-637X/814/1/69
Bouwens, R. J., Oesch, P. A., Illingworth, G. D., Ellis, R. S. & Stefanon, M. The z ∼ 6 luminosity function fainter than −15 mag from the Hubble Frontier Fields: the impact of magnification uncertainties. Astrophys. J. 843, 129 (2017).
doi: 10.3847/1538-4357/aa70a4
Matthee, J. et al. Little Red Dots: an abundant population of faint AGN at z ~ 5 revealed by the EIGER and FRESCO JWST surveys. Preprint at https://doi.org/10.48550/arXiv.2306.05448 (2023).
Fujimoto, S. et al. CEERS spectroscopic confirmation of NIRCam-selected z ≳ 8 galaxy candidates with JWST/NIRSpec: initial characterization of their properties. Astrophys. J. Lett. 949, L25 (2023).
doi: 10.3847/2041-8213/acd2d9
Simmonds, C. et al. The ionizing photon production efficiency at z ∼ 6 for Lyman-alpha emitters using JEMS and MUSE. Mon. Not. R. Astron. Soc. 523, 5468–5486 (2023).
doi: 10.1093/mnras/stad1749
Stanway, E. R. & Eldridge, J. J. Re-evaluating old stellar populations. Mon. Not. R. Astron. Soc. 479, 75–93 (2018).
doi: 10.1093/mnras/sty1353
Pahl, A. J., Shapley, A., Steidel, C. C., Chen, Y. & Reddy, N. A. An uncontaminated measurement of the escaping Lyman continuum at z ∼ 3. Mon. Not. R. Astron. Soc. 505, 2447–2467 (2021).
doi: 10.1093/mnras/stab1374
Atek, H., Richard, J., Kneib, J.-P. & Schaerer, D. The extreme faint end of the UV luminosity function at z ∼ 6 through gravitational telescopes: a comprehensive assessment of strong lensing uncertainties. Mon. Not. R. Astron. Soc. 479, 5184–5195 (2018).
doi: 10.1093/mnras/sty1820
Gnedin, N. Y. & Madau, P. Modeling cosmic reionization. Living Rev. Comput. Astrophys. 8, 3 (2022).
doi: 10.1007/s41115-022-00015-5
Chisholm, J. et al. The far-ultraviolet continuum slope as a Lyman Continuum escape estimator at high redshift. Mon. Not. R. Astron. Soc. 517, 5104–5120 (2022).
doi: 10.1093/mnras/stac2874
Naidu, R. P. et al. Two remarkably luminous galaxy candidates at z ≈ 10−12 revealed by JWST. Astrophys. J. Lett. 940, L14 (2022).
Naidu, R. P. et al. The HDUV Survey: six Lyman continuum emitter candidates at z ~ 2 revealed by HST UV Imaging. Astrophys. J. 847, 12 (2017).
doi: 10.3847/1538-4357/aa8863
Vanzella, E. et al. Direct Lyman continuum and Ly α escape observed at redshift 4. Mon. Not. R. Astron. Soc. 476, L15–L19 (2018).
doi: 10.1093/mnrasl/sly023
Trebitsch, M., Blaizot, J., Rosdahl, J., Devriendt, J. & Slyz, A. Fluctuating feedback-regulated escape fraction of ionizing radiation in low-mass, high-redshift galaxies. Mon. Not. R. Astron. Soc. 470, 224–239 (2017).
doi: 10.1093/mnras/stx1060
Ma, X. et al. No missing photons for reionization: moderate ionizing photon escape fractions from the FIRE-2 simulations. Mon. Not. R. Astron. Soc. 498, 2001–2017 (2020).
doi: 10.1093/mnras/staa2404
Yeh, J. Y.-C. et al. The THESAN project: ionizing escape fractions of reionization-era galaxies. Mon. Not. R. Astron. Soc. 520, 2757–2780 (2023).
doi: 10.1093/mnras/stad210
Hutter, A., Dayal, P., Legrand, L., Gottlöber, S. & Yepes, G. Astraeus – III. The environment and physical properties of reionization sources. Mon. Not. R. Astron. Soc. 506, 215–228 (2021).
doi: 10.1093/mnras/stab877
Bergamini, P. et al. New high-precision strong lensing modeling of Abell 2744. Preparing for JWST observations. Astron. Astrophys. 670, A60 (2023).
doi: 10.1051/0004-6361/202244575
Furtak, L. J. et al. UNCOVERing the extended strong lensing structures of Abell 2744 with the deepest JWST imaging. Mon. Not. R. Astron. Soc. 523, 4568–4582 (2023).
Oke, J. B. & Gunn, J. E. Secondary standard stars for absolute spectrophotometry. Astrophys. J. 266, 713–717 (1983).
doi: 10.1086/160817
Bezanson, R. et al. The JWST UNCOVER Treasury survey: Ultradeep NIRSpec and NIRCam ObserVations before the Epoch of Reionization. Preprint at https://doi.org/10.48550/arXiv.2212.04026 (2022).
Weaver, J. R. et al. The UNCOVER Survey: a first-look HST + JWST Catalog of 60,000 galaxies near A2744 and beyond. Astrophys. J. Suppl. Ser. 270, 7 (2024).
Rieke, M. J. et al. Performance of NIRCam on JWST in Flight. Publ. Astron. Soc. Pacific 135, 028001 (2023).
doi: 10.1088/1538-3873/acac53
Brammer, G. Grizli: Grism redshift and line analysis software. Astrophysics Source Code Library, record ascl:1905.001 (2019).
Lotz, J. M. et al. The Frontier Fields: survey design and initial results. Astrophys. J. 837, 97 (2017).
doi: 10.3847/1538-4357/837/1/97
Steinhardt, C. L. et al. The BUFFALO HST Survey. Astrophys. J. Suppl. Ser. 247, 64 (2020).
doi: 10.3847/1538-4365/ab75ed
Jakobsen, P. et al. The Near-Infrared Spectrograph (NIRSpec) on the James Webb Space Telescope. I. Overview of the instrument and its capabilities. Astron. Astrophys. 661, A80 (2022).
doi: 10.1051/0004-6361/202142663
Ferruit, P. et al. The Near-Infrared Spectrograph (NIRSpec) on the James Webb Space Telescope. II. Multi-object spectroscopy (MOS). Astron. Astrophys. 661, A81 (2022).
doi: 10.1051/0004-6361/202142673
Heintz, K. E. et al. Extreme damped Lyman-α absorption in young star-forming galaxies at z = 9 − 11. Preprint at https://doi.org/10.48550/arXiv.2306.00647 (2023).
Horne, K. An optimal extraction algorithm for CCD spectroscopy. Publ. Astron. Soc. Pacific 98, 609–617 (1986).
doi: 10.1086/131801
Bouwens, R. J., Illingworth, G., Ellis, R. S., Oesch, P. & Stefanon, M. z ∼ 2–9 galaxies magnified by the Hubble Frontier Field clusters. II. Luminosity functions and constraints on a faint-end turnover. Astrophys. J. 940, 55 (2022).
doi: 10.3847/1538-4357/ac86d1
Brammer, G., Strait, V., Matharu, J. & Momcheva, I. grizli. Zenodo zenodo.org/records/6672538 (2022).
Brammer, G. B., van Dokkum, P. G. & Coppi, P. EAZY: a fast, public photometric redshift code. Astrophys. J. 686, 1503–1513 (2008).
doi: 10.1086/591786
Zitrin, A. et al. Hubble Space Telescope combined strong and weak lensing analysis of the CLASH sample: mass and magnification models and systematic uncertainties. Astrophys. J. 801, 44 (2015).
doi: 10.1088/0004-637X/801/1/44
Pascale, M. et al. Unscrambling the lensed galaxies in JWST images behind SMACS 0723. Astrophys. J. Lett. 938, L6 (2022).
doi: 10.3847/2041-8213/ac9316
Bacon, R. et al. The MUSE second-generation VLT instrument. In Ground-based and Airborne Instrumentation for Astronomy III, Vol. 7735 of Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series (eds McLean, I. S. et al.) 773508 (SPIE, 2010).
Mahler, G. et al. Strong-lensing analysis of A2744 with MUSE and Hubble Frontier Fields images. Mon. Not. R. Astron. Soc. 473, 663–692 (2018).
doi: 10.1093/mnras/stx1971
Richard, J. et al. An atlas of MUSE observations towards twelve massive lensing clusters. Astron. Astrophys. 646, A83 (2021).
doi: 10.1051/0004-6361/202039462
Bergamini, P. et al. The GLASS-JWST Early Release Science Program. III. Strong-lensing model of Abell 2744 and its infalling regions. Astrophys. J. 952, 84 (2023).
doi: 10.3847/1538-4357/acd643
Zitrin, A. et al. Lyα emission from a luminous z = 8.68 galaxy: implications for galaxies as tracers of cosmic reionization. Astrophys. J. Lett. 810, L12 (2015).
doi: 10.1088/2041-8205/810/1/L12
Furtak, L. J. et al. Constraining the physical properties of the first lensed z ∼ 9–16 galaxy candidates with JWST. Mon. Not. R. Astron. Soc. 519, 3064–3075 (2023).
doi: 10.1093/mnras/stac3717
Carnall, A. C., McLure, R. J., Dunlop, J. S. & Davé, R. Inferring the star formation histories of massive quiescent galaxies with BAGPIPES: evidence for multiple quenching mechanisms. Mon. Not. R. Astron. Soc. 480, 4379–4401 (2018).
doi: 10.1093/mnras/sty2169
Carnall, A. C. et al. The VANDELS survey: the star-formation histories of massive quiescent galaxies at 1.0 < z < 1.3. Mon. Not. R. Astron. Soc. 490, 417–439 (2019).
doi: 10.1093/mnras/stz2544
Curtis-Lake, E. et al. Spectroscopic confirmation of four metal-poor galaxies at z = 10.3–13.2. Nat. Astron. 7, 622–632 (2023).
Bruzual, G. & Charlot, S. Stellar population synthesis at the resolution of 2003. Mon. Not. R. Astron. Soc. 344, 1000–1028 (2003).
doi: 10.1046/j.1365-8711.2003.06897.x
Sánchez-Blázquez, P. et al. Medium-resolution Isaac Newton Telescope library of empirical spectra. Mon. Not. R. Astron. Soc. 371, 703–718 (2006).
doi: 10.1111/j.1365-2966.2006.10699.x
Falcón-Barroso, J. et al. An updated MILES stellar library and stellar population models. Astron. Astrophys. 532, A95 (2011).
doi: 10.1051/0004-6361/201116842
Ferland, G. J. et al. The 2017 Release Cloudy. Rev. Mex. Astron. Astrofís. 53, 385–438 (2017).
Charlot, S. & Fall, S. M. A simple model for the absorption of starlight by dust in galaxies. Astrophys. J. 539, 718–731 (2000).
doi: 10.1086/309250
Papovich, C. et al. CEERS key paper. V. Galaxies at 4 < z < 9 are bluer than they appear–characterizing galaxy stellar populations from rest-frame ∼1 μm imaging. Astrophys. J. Lett. 949, L18 (2023).
doi: 10.3847/2041-8213/acc948
Buchner, J. et al. X-ray spectral modelling of the AGN obscuring region in the CDFS: Bayesian model selection and catalogue. Astron. Astrophys. 564, A125 (2014).
doi: 10.1051/0004-6361/201322971
Feroz, F., Hobson, M. P., Cameron, E. & Pettitt, A. N. Importance nested sampling and the MultiNest algorithm. Open J. Astrophys. 2, 10 (2019).
doi: 10.21105/astro.1306.2144
Chevallard, J. & Charlot, S. Modelling and interpreting spectral energy distributions of galaxies with BEAGLE. Mon. Not. R. Astron. Soc. 462, 1415–1443 (2016).
doi: 10.1093/mnras/stw1756
Ferland, G. J. et al. The 2013 Release of Cloudy. Rev. Mex. Astron. Astrofís. 49, 137–163 (2013).
Gutkin, J., Charlot, S. & Bruzual, G. Modelling the nebular emission from primeval to present-day star-forming galaxies. Mon. Not. R. Astron. Soc. 462, 1757–1774 (2016).
doi: 10.1093/mnras/stw1716
Chabrier, G. Galactic stellar and substellar initial mass function. Publ. Astron. Soc. Pacific 115, 763–795 (2003).
doi: 10.1086/376392
Pei, Y. C. Interstellar dust from the Milky Way to the magellanic clouds. Astrophys. J. 395, 130–139 (1992).
doi: 10.1086/171637
Inoue, A. K., Shimizu, I., Iwata, I. & Tanaka, M. An updated analytic model for attenuation by the intergalactic medium. Mon. Not. R. Astron. Soc. 442, 1805–1820 (2014).
doi: 10.1093/mnras/stu936
Roberts-Borsani, G. et al. z ≳ 7 galaxies with Red Spitzer/IRAC [3.6]–[4.5] colors in the full CANDELS data set: the brightest-known galaxies at z ∼ 7–9 and a probable spectroscopic confirmation at z = 7.48. Astrophys. J. 823, 143 (2016).
doi: 10.3847/0004-637X/823/2/143
Trenti, M. & Stiavelli, M. Cosmic variance and its effect on the luminosity function determination in deep high-z surveys. Astrophys. J. 676, 767–780 (2008).
doi: 10.1086/528674
Leitherer, C. & Heckman, T. M. Synthetic properties of starburst galaxies. Astrophys. J. Suppl. Ser. 96, 9 (1995).
doi: 10.1086/192112
Osterbrock, D. E. Astrophysics of Gaseous Nebulae and Active Galactic Nuclei (Univ. Science Books, 1989).
Atek, H. et al. The star formation burstiness and ionizing efficiency of low-mass galaxies. Mon. Not. R. Astron. Soc. 511, 4464–4479 (2022).
doi: 10.1093/mnras/stac360
Bouwens, R. J. et al. The Lyman-continuum photon production efficiency ξ
doi: 10.3847/0004-637X/831/2/176
Matthee, J. et al. The production and escape of Lyman-continuum radiation from star-forming galaxies at z ~ 2 and their redshift evolution. Mon. Not. R. Astron. Soc. 465, 3637–3655 (2017).
doi: 10.1093/mnras/stw2973
Nanayakkara, T. et al. Reconstructing the observed ionizing photon production efficiency at z ~ 2 using stellar population models. Astrophys. J. 889, 180 (2020).
doi: 10.3847/1538-4357/ab65eb
Matthee, J. et al. EIGER. II. First spectroscopic characterization of the young stars and ionized gas associated with strong Hβ and [O III] line emission in galaxies at z = 5–7 with JWST. Astrophys. J. 950, 67 (2023).
doi: 10.3847/1538-4357/acc846
Sun, F. et al. First sample of Hα+[O III]λ5007 line emitters at z > 6 through JWST/NIRCam slitless spectroscopy: physical properties and line-luminosity functions. Astrophys. J. 953, 53 (2023).
doi: 10.3847/1538-4357/acd53c
Tang, M. et al. JWST/NIRSpec spectroscopy of z = 7–9 star-forming galaxies with CEERS: new insight into bright Lyα emitters in ionized bubbles. Mon. Not. R. Astron. Soc. 526, 1657–1686 (2023).
doi: 10.1093/mnras/stad2763
Saxena, A. et al. JADES: The production and escape of ionizing photons from faint Lyman-alpha emitters in the epoch of reionization. Preprint at https://doi.org/10.48550/arXiv.2306.04536 (2023).
Prieto-Lyon, G. et al. The production of ionizing photons in UV-faint z ~ 3–7 galaxies. Astron. Astrophys. 672, A186 (2023).
doi: 10.1051/0004-6361/202245532
Flury, S. R. et al. The low-redshift Lyman Continuum Survey. I. New, diverse local Lyman continuum emitters. Astrophys. J. Suppl. Ser. 260, 1 (2022).
Nakajima, K. et al. EMPRESS. V. Metallicity diagnostics of galaxies over 12 + log(O/H) ≃ 6.9–8.9 established by a local galaxy census: preparing for JWST spectroscopy. Astrophys. J. Suppl. Ser. 262, 3 (2022).
doi: 10.3847/1538-4365/ac7710
Nakajima, K. et al. EMPRESS. V. Metallicity diagnostics of galaxies over 12 + log(O/H) = 6.9–8.9 established by a local galaxy census: preparing for JWST spectroscopy. Astrophys. J. Suppl. Ser. 262, 3 (2022).
Sanders, R. L. et al. The MOSDEF survey: the evolution of the mass-metallicity relation from z = 0 to z ∼ 3.3. Astrophys. J. 914, 19 (2021).
doi: 10.3847/1538-4357/abf4c1
Sanders, R. L., Shapley, A. E., Topping, M. W., Reddy, N. A. & Brammer, G. B. Direct T
Stanway, E. R. & Eldridge, J. J. Initial mass function variations cannot explain the ionizing spectrum of low metallicity starbursts. Astron. Astrophys. 621, A105 (2019).
doi: 10.1051/0004-6361/201834359
Sérsic, J. L. Influence of the atmospheric and instrumental dispersion on the brightness distribution in a galaxy. Bol. Asoci. Argentina Astron. Plata Argentina 6, 41–43 (1963).
Pasha, I. & Miller, T. B. pysersic: a Python package for determining galaxy structural properties via Bayesian inference, accelerated with jax. J. Open Source Software 8, 5703 (2023).
Hoffman, M. D. & Gelman, A. et al. The No-U-Turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo. J. Mach. Learn. Res. 15, 1593–1623 (2014).
Phan, D., Pradhan, N. & Jankowiak, M. Composable effects for flexible and accelerated probabilistic programming in NumPyro. Preprint at https://arxiv.org/abs/1912.11554 (2019).
Holwerda, B. W. et al. The sizes of candidate z ~ 9-10 galaxies: confirmation of the bright CANDELS sample and relation with luminosity and mass. Astrophys. J. 808, 6 (2015).
doi: 10.1088/0004-637X/808/1/6
Ferrara, A., Pallottini, A. & Dayal, P. On the stunning abundance of super-early, luminous galaxies revealed by JWST. Mon. Not. R. Astron. Soc. 522, 3986–3991 (2023).
Astropy Collaboration. et al. Astropy: a community Python package for astronomy. Astron. Astrophys. 558, A33 (2013).
doi: 10.1051/0004-6361/201322068
Astropy Collaboration. et al. The Astropy Project: building an open-science project and status of the v2.0 core package. Astron. J. 156, 123 (2018).
doi: 10.3847/1538-3881/aabc4f
Hunter, J. D. Matplotlib: a 2D graphics environment. Comput. Sci. Eng. 9, 90–95 (2007).
doi: 10.1109/MCSE.2007.55
Brammer, G. msaexp: NIRSpec analyis tools. Zenodo https://zenodo.org/records/8314675 (2022).
Harris, C. R. et al. Array programming with NumPy. Nature 585, 357–362 (2020).
pubmed: 32939066
pmcid: 7759461
doi: 10.1038/s41586-020-2649-2
Hoffman, M. D. & Gelman, A. The No-U-Turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo. Preprint at https://doi.org/10.48550/arXiv.1111.4246 (2011).
Virtanen, P. et al. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nat. Methods 17, 261–272 (2020).
pubmed: 32015543
pmcid: 7056644
doi: 10.1038/s41592-019-0686-2