The dark side of early galaxies: geko uncovers dark-matter fractions at z ∼ 4 − 6

Acknowledgements: We thank the referee for the insightful comments that improved the paper. We thank Hannah Übler and Andreas Burkert for the insightful discussions. ALD thanks the University of Cambridge Harding Distinguished Postgraduate Scholars Programme and Technology Facilities Council (STFC) Center for Doctoral Training (CDT) in Data intensive science at the University of Cambridge (STFC grant number 2742605) for a PhD studentship. ALD and ST acknowledge support by the Royal Society Research Grant G125142. AJB acknowledges funding from the ‘FirstGalaxies’ Advanced Grant from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 789056). ECL acknowledges support of an STFC Webb Fellowship (ST/W001438/1). FDE and RM acknowledge support by the Science and Technology Facilities Council (STFC), by the ERC through Advanced Grant 695671 ‘QUENCH’, and by the UKRI Frontier Research grant RISEandFALL. EE, BDJ, MR, CNAW, and YZ are supported by the JWST/NIRCam contract to the University of Arizona, NAS5-02105. DJE was supported as a Simons Investigator and by JWST/NIRCam contract to the University of Arizona, NAS5-02105. Support for program #3215 was provided by NASA through a grant from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-03127. WM thanks the Science and Technology Facilities Council (STFC) Center for Doctoral Training (CDT) in Data Intensive Science at the University of Cambridge (STFC grant number 2742968) for a PhD studentship. BER acknowledges support from the NIRCam Science Team contract to the University of Arizona, NAS5-02105, and JWST Program 3215. This work is based on observations made with the NASA/ESA Hubble Space Telescope and NASA/ESA/CSA James Webb Space Telescope. The data were obtained from the Mikulski Archive for Space Telescopes at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-03127 for JWST. These observations are associated with program #1180, 1181, 1210 (JADES), #1895 (FRESCO), # 1963 (JEMS), and #3577 (CONGRESS). Support for program #3577 was provided by NASA through a grant from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-03127. The authors acknowledge the FRESCO team for developing their observing programme with a zero-exclusive-access period. The authors acknowledge use of the lux supercomputer at UC Santa Cruz, funded by NSF MRI grant AST 1828315.

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Oxford University Research Archive (ORA) (University of Oxford)
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2025-11-23
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Galaxies: Formation, Evolution, Phenomena
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article

The dark side of early galaxies: geko uncovers dark-matter fractions at z ∼ 4 − 6

A L Danhaive, E Curtis-Lake, E Egami, Q Duan et al.
Oxford University Research Archive (ORA) (University of Oxford)
Galaxies: Formation, Evolution, Phenomena
article

The dark side of early galaxies: geko uncovers dark-matter fractions at z ∼ 4 − 6

A L Danhaive, E Curtis-Lake, E Egami, Q Duan, B Robertson, DJ Eisenstein, Z. Wu, R Maiolino, A de Graaff, BD Johnson, F Sun, W McClymont, S Tacchella, Y. C. Zhu, AJ Bunker, CNA Willmer, F D’Eugenio, M Rieke
article en

Abstract

Acknowledgements: We thank the referee for the insightful comments that improved the paper. We thank Hannah Übler and Andreas Burkert for the insightful discussions. ALD thanks the University of Cambridge Harding Distinguished Postgraduate Scholars Programme and Technology Facilities Council (STFC) Center for Doctoral Training (CDT) in Data intensive science at the University of Cambridge (STFC grant number 2742605) for a PhD studentship. ALD and ST acknowledge support by the Royal Society Research Grant G125142. AJB acknowledges funding from the ‘FirstGalaxies’ Advanced Grant from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 789056). ECL acknowledges support of an STFC Webb Fellowship (ST/W001438/1). FDE and RM acknowledge support by the Science and Technology Facilities Council (STFC), by the ERC through Advanced Grant 695671 ‘QUENCH’, and by the UKRI Frontier Research grant RISEandFALL. EE, BDJ, MR, CNAW, and YZ are supported by the JWST/NIRCam contract to the University of Arizona, NAS5-02105. DJE was supported as a Simons Investigator and by JWST/NIRCam contract to the University of Arizona, NAS5-02105. Support for program #3215 was provided by NASA through a grant from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-03127. WM thanks the Science and Technology Facilities Council (STFC) Center for Doctoral Training (CDT) in Data Intensive Science at the University of Cambridge (STFC grant number 2742968) for a PhD studentship. BER acknowledges support from the NIRCam Science Team contract to the University of Arizona, NAS5-02105, and JWST Program 3215. This work is based on observations made with the NASA/ESA Hubble Space Telescope and NASA/ESA/CSA James Webb Space Telescope. The data were obtained from the Mikulski Archive for Space Telescopes at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-03127 for JWST. These observations are associated with program #1180, 1181, 1210 (JADES), #1895 (FRESCO), # 1963 (JEMS), and #3577 (CONGRESS). Support for program #3577 was provided by NASA through a grant from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-03127. The authors acknowledge the FRESCO team for developing their observing programme with a zero-exclusive-access period. The authors acknowledge use of the lux supercomputer at UC Santa Cruz, funded by NSF MRI grant AST 1828315.

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