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Rieke, M. J. et al. JADES initial data release for the Hubble Ultra Deep Field: revealing the faint infrared sky with deep JWST NIRCam imaging. Astrophys. J. Suppl. Ser. 269, 16 (2023).

ADS 

Google Scholar 

D’Eugenio, F. et al. JADES Data Release 3: NIRSpec/Microshutter Assembly Spectroscopy for 4000 galaxies in the GOODS fields. Astrophys. J. Suppl. Ser. 277, 4 (2025).

Google Scholar 

Moles, M., Sulentic, J. W. & Márquez, I. The dynamical status of Stephan’s Quintet. Astrophys. J. Lett. 485, L69–L73 (1997).

ADS 

Google Scholar 

Appleton, P. N. et al. Multiphase gas interactions on subarcsec scales in the shocked intergalactic medium of Stephan’s Quintet with JWST and ALMA. Astrophys. J. 951, 104 (2023).

ADS 

Google Scholar 

Witstok, J. et al. Inside the bubble: exploring the environments of reionisation-era Lyman-α emitting galaxies with JADES and FRESCO. Astron. Astrophys. 682, A40 (2024).

Google Scholar 

Adamo, A. et al. Bound star clusters observed in a lensed galaxy 460 Myr after the Big Bang. Nature 632, 513–516 (2024).

Google Scholar 

Vanzella, E. et al. JWST/NIRCam probes young star clusters in the reionization era Sunrise Arc. Astrophys. J. 945, 53 (2023).

ADS 

Google Scholar 

Fujimoto, S. et al. Primordial rotating disk composed of ≥15 dense star-forming clumps at cosmic dawn. Nat. Astron. https://doi.org/10.1038/s41550-025-02592-w (2025).

Morishita, T. et al. Enhanced subkiloparsec-scale star formation: results from a JWST size analysis of 341 galaxies at 5 < z <14. Astrophys. J. 963, 9 (2024).

ADS 

Google Scholar 

Chen, Z. et al. JWST/NIRCam observations of stars and H ii regions in z ~ 6–8 galaxies: properties of star-forming complexes on 150 pc scales. Mon. Not. R. Astron. Soc. 518, 5607–5619 (2023).

ADS 

Google Scholar 

Hainline, K. N. et al. The cosmos in its infancy: JADES galaxy candidates at z > 8 in GOODS-S and GOODS-N. Astrophys. J. 964, 71 (2024).

ADS 

Google Scholar 

Jones, G. C. et al. GA-NIFS: witnessing the complex assembly of a star-forming system at z = 5.7. Mon. Not. R. Astron. Soc. 540, 3311–3329 (2025).

Google Scholar 

Hashimoto, T. et al. Reionization and the ISM/stellar Origins with JWST and ALMA (RIOJA): the core of the highest-redshift galaxy overdensity at z = 7.88 confirmed by NIRSpec/JWST. Astrophys. J. Lett. 955, L2 (2023).

ADS 

Google Scholar 

Arribas, S. et al. GA-NIFS: the core of an extremely massive protocluster at the epoch of reionisation probed with JWST/NIRSpec. Astron. Astrophys. 688, A146 (2024).

Google Scholar 

Nakazato, Y., Ceverino, D. & Yoshida, N. A merger-driven scenario for clumpy galaxy formation in the epoch of reionization: physical properties of clumps in the firstlight simulation. Astrophys. J. 975, 238 (2024).

Google Scholar 

Yung, L. Y. A. et al. Semi-analytic forecasts for Roman—the beginning of a new era of deep-wide galaxy surveys. Mon. Not. R. Astron. Soc. 519, 1578–1600 (2023).

ADS 

Google Scholar 

Cole, J. W. et al. CEERS: increasing scatter along the star-forming main sequence indicates early galaxies form in bursts. Astrophys. J. 979, 193 (2025).

Google Scholar 

Curti, M. et al. JADES: insights into the low-mass end of the mass-metallicity-SFR relation at 3 < z < 10 from deep JWST/NIRSpec spectroscopy. Astron. Astrophys. 684, A75 (2024).

Google Scholar 

Pirie, C. A. et al. The JWST Emission Line Survey (JELS): an untargeted search for Hα emission line galaxies at z > 6 and Their physical properties. Mon. Not. R. Astron. Soc. 541, 1348–1376 (2025).

Google Scholar 

Popesso, P. et al. The main sequence of star-forming galaxies across cosmic times. Mon. Not. R. Astron. Soc. 519, 1526–1544 (2023).

ADS 

Google Scholar 

Conroy, C. Modeling the panchromatic spectral energy distributions of galaxies. Annu. Rev. Astron. Astrophys. 51, 393–455 (2013).

ADS 

Google Scholar 

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).

ADS 

Google Scholar 

Tacchella, S. et al. Morphology and star formation in IllustrisTNG: the build-up of spheroids and discs. Mon. Not. R. Astron. Soc. 487, 5416–5440 (2019).

ADS 

Google Scholar 

Carnall, A. C. et al. A massive quiescent galaxy at redshift 4.658. Nature 619, 716–719 (2023).

ADS 

Google Scholar 

de Graaff, A. et al. Efficient formation of a massive quiescent galaxy at redshift 4.9. Nat. Astron. 9, 280–292 (2025).

Google Scholar 

Carnall, A. C. et al. The JWST EXCELS survey: too much, too young, too fast? Ultra-massive quiescent galaxies at 3 < z < 5. Mon. Not. R. Astron. Soc. 534, 325–348 (2024).

Google Scholar 

Glazebrook, K. et al. A massive galaxy that formed its stars at z ≈ 11. Nature 628, 277–281 (2024).

ADS 

Google Scholar 

Nanayakkara, T. et al. The formation histories of massive and quiescent galaxies in the 3 < z < 4.5 universe. Astrophys. J. 981, 78 (2025).

Google Scholar 

Turner, C. et al. Age-dating early quiescent galaxies: high star formation efficiency, but consistent with direct, higher-redshift observations. Mon. Not. R. Astron. Soc. 537, 1826–1848 (2025).

Google Scholar 

Mihos, J. C. & Hernquist, L. Gasdynamics and starbursts in major mergers. Astrophys. J. 464, 641 (1996).

ADS 

Google Scholar 

Di Matteo, T., Springel, V. & Hernquist, L. Energy input from quasars regulates the growth and activity of black holes and their host galaxies. Nature 433, 604–607 (2005).

ADS 

Google Scholar 

Hopkins, P. F., Hernquist, L., Cox, T. J. & Kereš, D. A cosmological framework for the co-evolution of quasars, supermassive black holes, and elliptical galaxies. I. Galaxy mergers and quasar activity. Astrophys. J. Suppl. Ser. 175, 356–389 (2008).

ADS 

Google Scholar 

Xie, L. et al. The first quenched galaxies: when and how? Astrophys. J. Lett. 966, L2 (2024).

ADS 

Google Scholar 

Rieke, G. et al. JWST/NIRCam Slitless Spectroscopy in the JWST/MIRI HUDF Region. JWST Proposal Cycle 3, 4549 (2023).

Google Scholar 

Parlanti, E. et al. GA-NIFS: multiphase analysis of a star-forming galaxy at z ~ 5.5. Astron. Astrophys. 695, A6 (2025).

Google Scholar 

Marshall, M. A. et al. GA-NIFS: black hole and host galaxy properties of two z ~ 6.8 quasars from the NIRSpec IFU. Astron. Astrophys. 678, A191 (2023).

Google Scholar 

Vayner, A. et al. First results from the JWST Early Release Science Program Q3D: ionization cone, clumpy star formation, and shocks in a z = 3 extremely red quasar host. Astrophys. J. 955, 92 (2023).

ADS 

Google Scholar 

Solimano, M. et al. A hidden active galactic nucleus powering bright [O iii] nebulae in a protocluster at z = 4.5 revealed by JWST. Astron. Astrophys. 693, A70 (2025).

Google Scholar 

Thompson, T. A., Quataert, E., Zhang, D. & Weinberg, D. H. An origin for multiphase gas in galactic winds and haloes. Mon. Not. R. Astron. Soc. 455, 1830–1844 (2016).

ADS 

Google Scholar 

Peng, Z. et al. Physical origins of outflowing cold clouds in local star-forming dwarf galaxies. Astrophys. J. 981, 171 (2025).

Google Scholar 

Di Cesare, C. et al. Carbon envelopes around merging galaxies at z ~ 4.5. Astron. Astrophys. 690, A255 (2024).

Google Scholar 

Sparre, M. et al. Gas flows in galaxy mergers: supersonic turbulence in bridges, accretion from the circumgalactic medium, and metallicity dilution. Mon. Not. R. Astron. Soc. 509, 2720–2735 (2022).

ADS 

Google Scholar 

Moreno, J. et al. Interacting galaxies on FIRE-2: the connection between enhanced star formation and interstellar gas content. Mon. Not. R. Astron. Soc. 485, 1320–1338 (2019).

ADS 

Google Scholar 

Sinha, M. & Holley-Bockelmann, K. Numerical simulations of hot halo gas in galaxy mergers. Mon. Not. R. Astron. Soc. 397, 190–207 (2009).

ADS 

Google Scholar 

Cox, T. J. et al. X-ray emission from hot gas in galaxy mergers. Astrophys. J. 643, 692–706 (2006).

ADS 

Google Scholar 

O’Sullivan, E., Giacintucci, S., Vrtilek, J. M., Raychaudhury, S. & David, L. P. A Chandra X-ray view of Stephan’s Quintet: shocks and star formation. Astrophys. J. 701, 1560–1568 (2009).

ADS 

Google Scholar 

Allen, R. J. & Hartsuiker, J. W. Radio continuum emission at 21 cm near Stephan’s Quintet. Nature 239, 324–325 (1972).

ADS 

Google Scholar 

Xu, C. K., Lu, N., Condon, J. J., Dopita, M. & Tuffs, R. J. Physical conditions and star formation activity in the intragroup medium of Stephan’s Quintet. Astrophys. J. 595, 665–684 (2003).

ADS 

Google Scholar 

Iglesias-Páramo, J., López-Martín, L., Vílchez, J. M., Petropoulou, V. & Sulentic, J. W. New insights on Stephan’s Quintet: exploring the shock in three dimensions. Astron. Astrophys. 539, A127 (2012).

ADS 

Google Scholar 

Rodríguez-Baras, M., Rosales-Ortega, F. F., Díaz, A. I., Sánchez, S. F. & Pasquali, A. A study of the ionized gas in Stephan’s Quintet from integral field spectroscopy observations. Mon. Not. R. Astron. Soc. 442, 495–508 (2014).

ADS 

Google Scholar 

Planck Collaboration et al. Planck 2018 results. VI. Cosmological parameters. Astron. Astrophys. 641, A6 (2020).

Google Scholar 

Eisenstein, D. J. et al. Overview of the JWST Advanced Deep Extragalactic Survey (JADES). Preprint at https://arxiv.org/abs/2306.02465 (2023).

Eisenstein, D. J. et al. The JADES Origins Field: a new JWST deep field in the JADES Second NIRCam Data Release. Preprint at https://arxiv.org/abs/2310.12340 (2023).

Williams, C. C. et al. JEMS: a deep medium-band imaging survey in the Hubble Ultra Deep Field with JWST NIRCam and NIRISS. Astrophys. J. Suppl. Ser. 268, 64 (2023).

ADS 

Google Scholar 

Grogin, N. A. et al. CANDELS: the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey. Astrophys. J. Suppl. Ser. 197, 35 (2011).

ADS 

Google Scholar 

Koekemoer, A. M. et al. CANDELS: the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey—the Hubble Space Telescope observations, imaging data products, and mosaics. Astrophys. J. Suppl. Ser. 197, 36 (2011).

ADS 

Google Scholar 

Wang, X. et al. The Lyman continuum escape fraction of star-forming galaxies at 2.4 ≲ z ≲ 3.0 from UVCANDELS. Astrophys. J. 980, 74 (2025).

Google Scholar 

Bouwens, R. J. et al. Ultraviolet luminosity functions from 132 z ~7 and z ~8 Lyman-break galaxies in the ultra-deep HUDF09 and wide-area Early Release Science WFC3/IR observations. Astrophys. J. 737, 90 (2011).

ADS 

Google Scholar 

Oesch, P. A. et al. The JWST FRESCO survey: legacy NIRCam/grism spectroscopy and imaging in the two GOODS fields. Mon. Not. R. Astron. Soc. 525, 2864–2874 (2023).

ADS 

Google Scholar 

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. Astron. Astrophys. 690, A288 (2024).

Google Scholar 

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).

ADS 

Google Scholar 

Eldridge, J. J. et al. Binary Population and Spectral Synthesis Version 2.1: construction, observational verification, and new results. Publ. Astron. Soc. Aust. 34, e058 (2017).

ADS 

Google Scholar 

Stanway, E. R. & Eldridge, J. J. Re-evaluating old stellar populations. Mon. Not. R. Astron. Soc. 479, 75–93 (2018).

ADS 

Google Scholar 

Iyer, K. G. et al. Nonparametric star formation history reconstruction with Gaussian processes. I. Counting major episodes of star formation. Astrophys. J. 879, 116 (2019).

ADS 

Google Scholar 

Calzetti, D. et al. The dust content and opacity of actively star-forming galaxies. Astrophys. J. 533, 682–695 (2000).

ADS 

Google Scholar 

Barbary, K. sep: source extractor as a library. J. Open Source Softw. 1, 58 (2016).

ADS 

Google Scholar 

Bertin, E. & Arnouts, S. SExtractor: software for source extraction. Astron. Astrophys. Suppl. Ser. 117, 393–404 (1996).

ADS 

Google Scholar 

Pasha, I. & Miller, T. B. pysersic: a Python package for determining galaxy structural properties via Bayesian inference, accelerated with jax. J. Open Source Softw. 8, 5703 (2023).

ADS 

Google Scholar 

Hoffman, M. D. & Gelman, A. The No-U-Turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo. Preprint at https://arxiv.org/abs/1111.4246 (2011).

Endsley, R. et al. The star-forming and ionizing properties of dwarf z ~ 6–9 galaxies in JADES: insights on bursty star formation and ionized bubble growth. Mon. Not. R. Astron. Soc. 533, 1111–1142 (2024).

Google Scholar 

Puskás, D. et al. Constraining the major merger history of z ~ 3–9 galaxies using JADES: dominant in situ star formation. Mon. Not. R. Astron. Soc. 540, 2146–2175 (2025).

Google Scholar 

Claeyssens, A. et al. Star formation at the smallest scales: a JWST study of the clump populations in SMACS0723. Mon. Not. R. Astron. Soc. 520, 2180–2203 (2023).

ADS 

Google Scholar 

Allen, N. et al. Galaxy size and mass build-up in the first 2 Gyr of cosmic history from multi-wavelength JWST NIRCam imaging. Astron. Astrophys. 698, A30 (2025).

Google Scholar 

Shen, L. et al. CEERS: spatially resolved UV and mid-infrared star formation in galaxies at 0.2 <z < 2.5: the picture from the Hubble and James Webb Space telescopes. Astrophys. J. 950, 7 (2023).

ADS 

Google Scholar 

Sorba, R. & Sawicki, M. Spatially unresolved SED fitting can underestimate galaxy masses: a solution to the missing mass problem. Mon. Not. R. Astron. Soc. 476, 1532–1547 (2018).

ADS 

Google Scholar 

Shen, L. et al. NGDEEP Epoch 1: spatially resolved Hα observations of disk and bulge growth in star-forming galaxies at z ~ 0.6–2.2 from JWST NIRISS slitless spectroscopy. Astrophys. J. Lett. 963, L49 (2024).

ADS 

Google Scholar 

Boquien, M. et al. CIGALE: a Python Code Investigating Galaxy Emission. Astron. Astrophys. 622, A103 (2019).

Google Scholar 

Cappellari, M. & Copin, Y. Adaptive spatial binning of integral-field spectroscopic data using Voronoi tessellations. Mon. Not. R. Astron. Soc. 342, 345–354 (2003).

ADS 

Google Scholar 

Diehl, S. & Statler, T. S. Adaptive binning of X-ray data with weighted Voronoi tessellations. Mon. Not. R. Astron. Soc. 368, 497–510 (2006).

ADS 

Google Scholar 

Applebaum, E., Brooks, A. M., Quinn, T. R. & Christensen, C. R. A stochastically sampled IMF alters the stellar content of simulated dwarf galaxies. Mon. Not. R. Astron. Soc. 492, 8–21 (2020).

ADS 

Google Scholar 

Chabrier, G. Galactic stellar and substellar initial mass function. Publ. Astron. Soc. Pac. 115, 763–795 (2003).

ADS 

Google Scholar 

Bruzual, G. & Charlot, S. Stellar population synthesis at the resolution of 2003. Mon. Not. R. Astron. Soc. 344, 1000–1028 (2003).

ADS 

Google Scholar 

Inoue, A. K. Rest-frame ultraviolet-to-optical spectral characteristics of extremely metal-poor and metal-free galaxies. Mon. Not. R. Astron. Soc. 415, 2920–2931 (2011).

ADS 

Google Scholar 

Klypin, A., Yepes, G., Gottlöber, S., Prada, F. & Heß, S. MultiDark simulations: the story of dark matter halo concentrations and density profiles. Mon. Not. R. Astron. Soc. 457, 4340–4359 (2016).

ADS 

Google Scholar 

Somerville, R. S., Popping, G. & Trager, S. C. Star formation in semi-analytic galaxy formation models with multiphase gas. Mon. Not. R. Astron. Soc. 453, 4337–4367 (2015).

ADS 

Google Scholar 

Somerville, R. S. et al. Mock light-cones and theory friendly catalogues for the CANDELS survey. Mon. Not. R. Astron. Soc. 502, 4858–4876 (2021).

ADS 

Google Scholar 

Yung, L. Y. A., Somerville, R. S., Finkelstein, S. L., Popping, G. & Davé, R. Semi-analytic forecasts for JWST—I. UV luminosity functions at z = 4–10. Mon. Not. R. Astron. Soc. 483, 2983–3006 (2019).

ADS 

Google Scholar 

Yung, L. Y. A. et al. Semi-analytic forecasts for JWST—VI. Simulated light-cones and galaxy clustering predictions. Mon. Not. R. Astron. Soc. 515, 5416–5436 (2022).

ADS 

Google Scholar 

Yung, L. Y. A. et al. Semi-analytic forecasts for JWST—II. Physical properties and scaling relations for galaxies at z = 4–10. Mon. Not. R. Astron. Soc. 490, 2855–2879 (2019).

ADS 

Google Scholar 

Somerville, R. S., Hopkins, P. F., Cox, T. J., Robertson, B. E. & Hernquist, L. A semi-analytic model for the co-evolution of galaxies, black holes and active galactic nuclei. Mon. Not. R. Astron. Soc. 391, 481–506 (2008).

ADS 

Google Scholar 

Duan, Q. et al. Galaxy mergers in the epoch of reionization II: major merger-triggered star formation and AGN activities at z = 4.5–8.5. Preprint at https://arxiv.org/abs/2411.04944 (2024).

Duan, Q. et al. Galaxy mergers in the epoch of reionization I: a JWST study of pair fractions, merger rates, and stellar mass accretion rates at z = 4.5–11.5. Mon. Not. R. Astron. Soc. 540, 774–805 (2025).

Google Scholar 

Gehrels, N. Confidence limits for small numbers of events in astrophysical data. Astrophys. J. 303, 336 (1986).

ADS 

Google Scholar 

Mo, H., van den Bosch, F. & White, S. Galaxy Formation and Evolution (Cambridge Univ. Press, 2010).

Chandrasekhar, S. Dynamical friction. I. General considerations: the coefficient of dynamical friction. Astrophys. J. 97, 255 (1943).

ADS 
MathSciNet 

Google Scholar 

Somerville, R. S. & Primack, J. R. Semi-analytic modelling of galaxy formation: the local Universe. Mon. Not. R. Astron. Soc. 310, 1087–1110 (1999).

ADS 

Google Scholar 

Jiang, C. Y., Jing, Y. P., Faltenbacher, A., Lin, W. P. & Li, C. A fitting formula for the merger timescale of galaxies in hierarchical clustering. Astrophys. J. 675, 1095–1105 (2008).

ADS 

Google Scholar 

Binney, J. & Tremaine, S. Galactic Dynamics 2nd edn (Princeton Univ. Press, 2008).