Somerville, R. S. & Davé, R. Physical models of galaxy formation in a cosmological framework. Annu. Rev. Astron. Astrophys. 53, 51–113 (2015).
Kormendy, J., Fisher, D. B., Cornell, M. E. & Bender, R. Structure and formation of elliptical and spheroidal galaxies. Astrophys. J. Suppl. Ser. 182, 216–309 (2009).
Patton, D. R., Ellison, S. L., Simard, L., McConnachie, A. W. & Mendel, J. T. Galaxy pairs in the Sloan Digital Sky Survey. III. Evidence of induced star formation from optical colours. Mon. Not. R. Astron. Soc. 412, 591–606 (2011).
Ellison, S. L., Patton, D. R., Simard, L. & McConnachie, A. W. Galaxy pairs in the Sloan Digital Sky Survey. I. Star formation, active galactic nucleus fraction, and the mass–metallicity relation. Astron. J. 135, 1877–1899 (2008).
Bell, E. F. et al. Dry mergers in GEMS: the dynamical evolution of massive early-type galaxies. Astrophys. J. 640, 241–251 (2006).
Madau, P. & Dickinson, M. Cosmic star-formation history. Annu. Rev. Astron. Astrophys. 52, 415–486 (2014).
Barton, E. J., Geller, M. J. & Kenyon, S. J. Tidally triggered star formation in close pairs of galaxies. Astrophys. J. 530, 660–679 (2000).
Lin, L. et al. The DEEP2 galaxy redshift survey: evolution of close galaxy pairs and major-merger rates up to z ~ 1.2. Astrophys. J. Lett. 617, L9–L12 (2004).
Conselice, C. J., Bershady, M. A., Dickinson, M. & Papovich, C. A direct measurement of major galaxy mergers at z ≲ 3. Astron. J. 126, 1183–1207 (2003).
Lotz, J. M., Primack, J. & Madau, P. A new nonparametric approach to galaxy morphological classification. Astron. J. 128, 163–182 (2004).
Harmsen, B. et al. Diverse stellar haloes in nearby Milky Way mass disc galaxies. Mon. Not. R. Astron. Soc. 466, 1491–1512 (2017).
Smercina, A., Bell, E. F., Samuel, J. & D’Souza, R. Relating the diverse merger histories and satellite populations of nearby galaxies. Astrophys. J. 930, 69 (2022).
Boecker, A. et al. A galaxy’s accretion history unveiled from its integrated spectrum. Mon. Not. R. Astron. Soc. 491, 823–837 (2020).
van Dokkum, P. G. et al. The growth of massive galaxies since z = 2. Astrophys. J. 709, 1018–1041 (2010).
Oyarzún, G. A. et al. Signatures of stellar accretion in MaNGA early-type galaxies. Astrophys. J. 880, 111 (2019).
Davison, T. A. et al. Mapping accreted stars in early-type galaxies across the mass–size plane. Mon. Not. R. Astron. Soc. 507, 3089–3112 (2021).
Cannarozzo, C. et al. The contribution of in situ and ex situ star formation in early-type galaxies: MaNGA versus IllustrisTNG. Mon. Not. R. Astron. Soc. 520, 5651–5670 (2023).
Huang, S., Ho, L. C., Peng, C. Y., Li, Z.-Y. & Barth, A. J. Fossil evidence for the two-phase formation of elliptical galaxies. Astrophys. J. Lett. 768, L28 (2013).
Huang, S., Ho, L. C., Peng, C. Y., Li, Z.-Y. & Barth, A. J. The Carnegie–Irvine galaxy survey. III. The three-component structure of nearby elliptical galaxies. Astrophys. J. 766, 47 (2013).
Huang, S. et al. Individual stellar haloes of massive galaxies measured to 100 kpc at 0.3 < z < 0.5 using Hyper Suprime-Cam. Mon. Not. R. Astron. Soc. 475, 3348–3368 (2018).
Walmsley, M., Ferguson, A. M. N., Mann, R. G. & Lintott, C. J. Identification of low surface brightness tidal features in galaxies using convolutional neural networks. Mon. Not. R. Astron. Soc. 483, 2968–2982 (2019).
Bickley, R. W. et al. Convolutional neural network identification of galaxy post-mergers in UNIONS using IllustrisTNG. Mon. Not. R. Astron. Soc. 504, 372–392 (2021).
Ćiprijanović, A., Snyder, G. F., Nord, B. & Peek, J. E. G. DeepMerge: classifying high-redshift merging galaxies with deep neural networks. Astron. Comput. 32, 100390 (2020).
Eisert, L. et al. ERGO-ML: comparing IllustrisTNG and HSC galaxy images via contrastive learning. Mon. Not. R. Astron. Soc. 528, 7411–7439 (2024).
Angeloudi, E. et al. ERGO-ML: towards a robust machine learning model for inferring the fraction of accreted stars in galaxies from integral-field spectroscopic maps. Mon. Not. R. Astron. Soc. 523, 5408–5429 (2023).
Bundy, K. et al. Overview of the SDSS-IV MaNGA survey: mapping nearby galaxies at Apache Point Observatory. Astrophys. J. 798, 7 (2015).
Sarmiento, R. et al. MaNGIA: 10,000 mock galaxies for stellar population analysis. Astron. Astrophys. 673, A23 (2023).
Oser, L., Ostriker, J. P., Naab, T., Johansson, P. H. & Burkert, A. The two phases of galaxy formation. Astrophys. J. 725, 2312–2323 (2010).
Cappellari, M. Structure and kinematics of early-type galaxies from integral field spectroscopy. Annu. Rev. Astron. Astrophys. 54, 597–665 (2016).
Greene, J. E. et al. The MASSIVE survey. II. Stellar population trends out to large radius in massive early-type galaxies. Astrophys. J. 807, 11 (2015).
Oyarzún, G. A. et al. SDSS-IV MaNGA: how the stellar populations of passive central galaxies depend on stellar and halo mass. Astrophys. J. 933, 88 (2022).
Scholz-Díaz, L., Martín-Navarro, I., Falcón-Barroso, J., Lyubenova, M. & van de Ven, G. Baryonic properties of nearby galaxies across the stellar-to-total dynamical mass relation. Nat. Astron. 8, 648–656 (2024).
Tinker, J. L. A self-calibrating halo-based group finder: application to SDSS. Astrophys. J. 923, 154 (2021).
Wake, D. A. et al. The SDSS-IV MaNGA sample: design, optimization, and usage considerations. Astron. J. 154, 86 (2017).
Rodriguez-Gomez, V. et al. The stellar mass assembly of galaxies in the Illustris simulation: growth by mergers and the spatial distribution of accreted stars. Mon. Not. R. Astron. Soc. 458, 2371–2390 (2016).
Huško, F., Lacey, C. G. & Baugh, C. M. The buildup of galaxies and their spheroids: the contributions of mergers, disc instabilities, and star formation. Mon. Not. R. Astron. Soc. 518, 5323–5339 (2023).
Bell, E. F. et al. The accretion origin of the Milky Way’s stellar halo. Astrophys. J. 680, 295–311 (2008).
Helmi, A. Streams, substructures, and the early history of the Milky Way. Annu. Rev. Astron. Astrophys. 58, 205–256 (2020).
McConnachie, A. W. The observed properties of dwarf galaxies in and around the Local Group. Astron. J. 144, 4 (2012).
Kruijssen, J. M. D., Pfeffer, J. L., Reina-Campos, M., Crain, R. A. & Bastian, N. The formation and assembly history of the Milky Way revealed by its globular cluster population. Mon. Not. R. Astron. Soc. 486, 3180–3202 (2019).
Conselice, C. J., Mundy, C. J., Ferreira, L. & Duncan, K. A direct measurement of galaxy major and minor merger rates and stellar mass accretion histories at z < 3 using galaxy pairs in the REFINE survey. Astrophys. J. 940, 168 (2022).
Mundy, C. J. et al. A consistent measure of the merger histories of massive galaxies using close-pair statistics. I. Major mergers at z < 3.5. Mon. Not. R. Astron. Soc. 470, 3507–3531 (2017).
Zhu, L. et al. The Fornax3D project: discovery of ancient massive merger events in the Fornax cluster galaxies NGC 1380 and NGC 1427. Astron. Astrophys. 664, A115 (2022).
Lackner, C. N., Cen, R., Ostriker, J. P. & Joung, M. R. Building galaxies by accretion and in situ star formation. Mon. Not. R. Astron. Soc. 425, 641–656 (2012).
Davison, T. A., Norris, M. A., Pfeffer, J. L., Davies, J. J. & Crain, R. A. An EAGLE’s view of ex situ galaxy growth. Mon. Not. R. Astron. Soc. 497, 81–93 (2020).
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).
Lee, J. & Yi, S. K. On the assembly history of stellar components in massive galaxies. Astrophys. J. 766, 38 (2013).
De Lucia, G., Springel, V., White, S. D. M., Croton, D. & Kauffmann, G. The formation history of elliptical galaxies. Mon. Not. R. Astron. Soc. 366, 499–509 (2006).
Rodriguez-Gomez, V. et al. The role of mergers and halo spin in shaping galaxy morphology. Mon. Not. R. Astron. Soc. 467, 3083–3098 (2017).
Rowlands, K. et al. Galaxy And Mass Assembly (GAMA): the mechanisms for quiescent galaxy formation at z < 1. Mon. Not. R. Astron. Soc. 473, 1168–1185 (2018).
Belli, S., Newman, A. B. & Ellis, R. S. MOSFIRE spectroscopy of quiescent galaxies at 1.5 < z < 2.5. II. Star formation histories and galaxy quenching. Astrophys. J. 874, 17 (2019).
Naab, T. et al. The ATLAS3D project. XXV. Two-dimensional kinematic analysis of simulated galaxies and the cosmological origin of fast and slow rotators. Mon. Not. R. Astron. Soc. 444, 3357–3387 (2014).
Yoon, Y., Park, C., Chung, H. & Lane, R. R. Evidence for impact of galaxy mergers on stellar kinematics of early-type galaxies. Astrophys. J. 925, 168 (2022).
Lin, L. et al. Where do wet, dry, and mixed galaxy mergers occur? A study of the environments of close galaxy pairs in the DEEP2 galaxy redshift survey. Astrophys. J. 718, 1158–1170 (2010).
Jian, H.-Y., Lin, L. & Chiueh, T. Environmental dependence of the galaxy merger rate in a ΛCDM universe. Astrophys. J. 754, 26 (2012).
Planck Collaboration. Planck 2015 results. XIII. Cosmological parameters. Astron. Astrophys. 594, A13 (2016).
Pillepich, A. et al. First results from the TNG50 simulation: the evolution of stellar and gaseous discs across cosmic time. Mon. Not. R. Astron. Soc. 490, 3196–3233 (2019).
Nelson, D. et al. First results from the TNG50 simulation: galactic outflows driven by supernovae and black hole feedback. Mon. Not. R. Astron. Soc. 490, 3234–3261 (2019).
Sánchez, S. F. et al. SDSS-IV MaNGA: pyPipe3D analysis release for 10,000 galaxies. Astrophys. J. Suppl. Ser. 262, 36 (2022).
Lacerda, E. A. D. et al. pyFIT3D and pyPipe3D – the new version of the integral field spectroscopy data analysis pipeline. New Astron. 97, 101895 (2022).
Liu, H., HaoChen, J. Z., Gaidon, A. & Ma, T. Self-supervised learning is more robust to dataset imbalance. Preprint at arxiv.org/Uabs/2110.05025 (2021).
Grill, J.-B. et al. Bootstrap your own latent: a new approach to self-supervised learning. In Proc. 34th Conference on Neural Information Processing Systems (eds Larochelle, H. et al.) 21271–21284 (Curran Associates, 2020).
Daddi, E. et al. Passively evolving early-type galaxies at 1.4 ≲ z ≲ 2.5 in the Hubble ultra deep field. Astrophys. J. 626, 680–697 (2005).
van Dokkum, P. G. et al. Confirmation of the remarkable compactness of massive quiescent galaxies at z ~ 2.3: early-type galaxies did not form in a simple monolithic collapse. Astrophys. J. Lett. 677, L5 (2008).
van der Wel, A. et al. 3D-HST+CANDELS: the evolution of the galaxy size–mass distribution since z = 3. Astrophys. J. 788, 28 (2014).
Rodriguez-Gomez, V. et al. The optical morphologies of galaxies in the IllustrisTNG simulation: a comparison to Pan-STARRS observations. Mon. Not. R. Astron. Soc. 483, 4140–4159 (2019).
Wilkinson, D. M., Maraston, C., Goddard, D., Thomas, D. & Parikh, T. FIREFLY (Fitting Iteratively for Likelihood Analysis): a full spectral fitting code. Mon. Not. R. Astron. Soc. 472, 4297–4326 (2017).
Westfall, K. B. et al. The data analysis pipeline for the SDSS-IV MaNGA IFU galaxy survey: overview. Astron. J. 158, 231 (2019).
Nanni, L. et al. iMaNGA: mock MaNGA galaxies based on IllustrisTNG and MaStar SSPs. II. The catalogue. Mon. Not. R. Astron. Soc. 522, 5479–5499 (2023).
Domínguez Sánchez, H., Margalef, B., Bernardi, M. & Huertas-Company, M. SDSS-IV DR17: final release of MaNGA PyMorph photometric and deep-learning morphological catalogues. Mon. Not. R. Astron. Soc. 509, 4024–4036 (2022).
Sánchez, S. F. et al. Pipe3D, a pipeline to analyze integral field spectroscopy data. II. Analysis sequence and CALIFA dataproducts. Rev. Mexicana Astron. Astrofis. 52, 171–220 (2016).
Graham, M. T. et al. SDSS-IV MaNGA: stellar angular momentum of about 2300 galaxies: unveiling the bimodality of massive galaxy properties. Mon. Not. R. Astron. Soc. 477, 4711–4737 (2018).