Abstract
About 35 years ago a class of galaxies with unusually strong Balmer absorption lines and weak emission lines was discovered in distant galaxy clusters1,2. These objects, alternatively referred to as post-starburst, E+A or k+a galaxies, are now known to occur in all environments and at all redshifts3,4,5,6,7, with many exhibiting compact morphologies and low-surface brightness features indicative of past galaxy mergers3,8. They are commonly thought to represent galaxies that are transitioning from blue to red sequence, making them critical to our understanding of the origins of galaxy bimodality9,10,11,12,13,14. However, recent observational studies have questioned this simple interpretation15,16,17,18. From observations alone, it is challenging to disentangle the different mechanisms that lead to the quenching of star formation in galaxies. Here we present examples of three different evolutionary pathways that lead to galaxies with strong Balmer absorption lines in the Evolution and Assembly of GaLaxies and their Environments (EAGLE) simulation19,20: classical blue → red quenching, blue → blue cycle and red → red rejuvenation. The first two are found in both post-starburst galaxies and galaxies with truncated star formation. Each pathway is consistent with scenarios hypothesized for observational samples2,15,18,21,22. The fact that ‘post-starburst’ signatures can be attained via various evolutionary channels explains the diversity of observed properties, and lends support to the idea that slower quenching channels are important at low redshift23,24.
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Data availability
The raw data used in this paper are available to download from the EAGLE public database http://icc.dur.ac.uk/Eagle/database.php. The case study galaxies presented here can be identified via their unique galaxyid. The database is described in refs. 40,69. The eigenvectors and PC amplitudes for SDSS DR7 spectra presented in Fig. 3 and Supplementary Fig. 4 are available for download from http://www-star.st-and.ac.uk/ vw8/downloads/DR7PCA.html. The PCA code and morphological analysis code are available for download from https://github.com/SEDMORPH. The spectral synthesis models used to build the spectra from the EAGLE star formation histories are available for download from http://www.bruzual.org/bc03/Updated_version_2016/.
References
Dressler, A. & Gunn, J. E. Spectroscopy of galaxies in distant clusters. II—The population of the 3C 295 cluster. Astrophys. J. 270, 7–19 (1983).
Couch, W. J. & Sharples, R. M. A spectroscopic study of three rich galaxy clusters at z = 0.31. Mon. Not. R. Astron. Soc. 229, 423–456 (1987).
Zabludoff, A. I. et al. The environment of ‘E+A’ galaxies. Astrophys. J. 466, 104 (1996).
Yan, R. et al. The DEEP2 Galaxy Redshift Survey: environments of post-starburst galaxies at z ∼ 0.1 and ∼0.8. Mon. Not. R. Astron. Soc. 398, 735–753 (2009).
Wild, V. et al. The evolution of post-starburst galaxies from z = 2 to 0.5. Mon. Not. R. Astron. Soc. 463, 832–844 (2016).
Paccagnella, A. et al. OmegaWINGS: the first complete census of post-starburst galaxies in clusters in the local universe. Astrophys. J. 838, 148 (2017).
Socolovsky, M. et al. The enhancement of rapidly quenched galaxies in distant clusters at 0.5 < z < 1.0. Mon. Not. R. Astron. Soc. 476, 1242–1257 (2018).
Almaini, O. et al. Massive post-starburst galaxies at z > 1 are compact proto-spheroids. Mon. Not. R. Astron. Soc. 472, 1401–1412 (2017).
Tran, K.-V. H., Franx, M., Illingworth, G., Kelson, D. D. & van Dokkum, P. The nature of E+A galaxies in intermediate-redshift clusters. Astrophys. J. 599, 865–885 (2003).
Yang, Y., Zabludoff, A. I., Zaritsky, D. & Mihos, J. C. The detailed evolution of E+A galaxies into early types. Astrophys. J. 688, 945–971 (2008).
Wild, V. et al. Post-starburst galaxies: more than just an interesting curiosity. Mon. Not. R. Astron. Soc. 395, 144–159 (2009).
Swinbank, A. M. et al. The properties of the star-forming interstellar medium at z = 0.84–2.23 from hizels: mapping the internal dynamics and metallicity gradients in high-redshift disc galaxies. Mon. Not. R. Astron. Soc. 426, 935–950 (2012).
Wong, O. I. et al. Galaxy Zoo: building the low-mass end of the red sequence with local post-starburst galaxies. Mon. Not. R. Astron. Soc. 420, 1684–1692 (2012).
Pawlik, M. M. et al. Shape asymmetry: a morphological indicator for automatic detection of galaxies in the post-coalescence merger stages. Mon. Not. R. Astron. Soc. 456, 3032–3052 (2016).
Dressler, A. et al. The IMACS Cluster Building Survey. II. Spectral evolution of galaxies in the epoch of cluster assembly. Astrophys. J. 770, 62 (2013).
French, K. D. et al. Discovery of large molecular gas reservoirs in post-starburst galaxies. Astrophys. J. 801, 1 (2015).
Rowlands, K. et al. The evolution of the cold interstellar medium in galaxies following a starburst. Mon. Not. R. Astron. Soc. 448, 258–279 (2015).
Pawlik, M. M. et al. The origins of post-starburst galaxies at z < 0.05. Mon. Not. R. Astron. Soc. 477, 1708–1743 (2018).
Schaye, J. et al. The EAGLE project: simulating the evolution and assembly of galaxies and their environments. Mon. Not. R. Astron. Soc. 446, 521–554 (2015).
Crain, R. A. et al. The EAGLE simulations of galaxy formation: calibration of subgrid physics and model variations. Mon. Not. R. Astron. Soc. 450, 1937–1961 (2015).
Balogh, M. L., Morris, S. L., Yee, H. K. C., Carlberg, R. G. & Ellingson, E. Differential galaxy evolution in cluster and field galaxies at z ~ 0.3. Astrophys. J. 527, 54–79 (1999).
Abramson, L. E. et al. The IMACS Cluster Building Survey. V. Further evidence for starburst recycling from quantitative galaxy morphologies. Astrophys. J. 777, 124 (2013).
Trayford, J. W. et al. It is not easy being green: the evolution of galaxy colour in the EAGLE simulation. Mon. Not. R. Astron. Soc. 460, 3925–3939 (2016).
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).
Bekki, K., Couch, W. J., Shioya, Y. & Vazdekis, A. Origin of E+A galaxies—I. Physical properties of E+A galaxies formed from galaxy merging and interaction. Mon. Not. R. Astron. Soc. 359, 949–965 (2005).
Snyder, G. F., Cox, T. J., Hayward, C. C., Hernquist, L. & Jonsson, P. K+A galaxies as the aftermath of gas-rich mergers: simulating the evolution of galaxies as seen by spectroscopic surveys. Astrophys. J. 741, 77 (2011).
French, K. D. et al. Why post-starburst galaxies are now quiescent. Astrophys. J. 861, 123 (2018).
Pillepich, A. et al. Simulating galaxy formation with the illustristng model. Mon. Not. R. Astron. Soc. 473, 4077–4106 (2018).
French, K. D., Yang, Y., Zabludoff, A. I. & Tremonti, C. A. Clocking the evolution of post-starburst galaxies: methods and first results. Astrophys. J. 862, 2 (2018).
Lotz, J. M., Jonsson, P., Cox, T. J. & Primack, J. R. Galaxy merger morphologies and time-scales from simulations of equal-mass gas-rich disc mergers. Mon. Not. R. Astron. Soc. 391, 1137–1162 (2008).
Mendel, J. T., Simard, L., Ellison, S. L. & Patton, D. R. Towards a physical picture of star formation quenching: the photometric properties of recently quenched galaxies in the Sloan Digital Sky Survey. Mon. Not. R. Astron. Soc. 429, 2212–2227 (2013).
Dressler, A. et al. A spectroscopic catalog of 10 distant rich clusters of galaxies. Astrophys. J. Suppl. Ser. 122, 51–80 (1999).
Oemler, A. Jr., Dressler, A. & Butcher, H. R. The morphology of distant cluster galaxies. II. HST observations of four rich clusters at z = 0.4. Astrophys. J. 474, 561–575 (1997).
Springel, V. The cosmological simulation code GADGET-2. Mon. Not. R. Astron. Soc. 364, 1105–1134 (2005).
Rosas-Guevara, Y. M. et al. The impact of angular momentum on black hole accretion rates in simulations of galaxy formation. Mon. Not. R. Astron. Soc. 454, 1038–1057 (2015).
Schaye, J. et al. The physics driving the cosmic star formation history. Mon. Not. R. Astron. Soc. 402, 1536–1560 (2010).
Crain, R. A. et al. Galaxies–intergalactic medium interaction calculation—I. Galaxy formation as a function of large-scale environment. Mon. Not. R. Astron. Soc. 399, 1773–1794 (2009).
Le Brun, A. M. C., McCarthy, I. G., Schaye, J. & Ponman, T. J. Towards a realistic population of simulated galaxy groups and clusters. Mon. Not. R. Astron. Soc. 441, 1270–1290 (2014).
Planck Collaboration et al. Planck 2013 results. XVI. Cosmological parameters. Astron. Astrophys. 571, A16 (2014).
McAlpine, S. et al. The EAGLE simulations of galaxy formation: public release of halo and galaxy catalogues. Astron. Comput. 15, 72–89 (2016).
Furlong, M. et al. Evolution of galaxy stellar masses and star formation rates in the EAGLE simulations. Mon. Not. R. Astron. Soc. 450, 4486–4504 (2015).
Bruzual, G. & Charlot, S. Stellar population synthesis at the resolution of 2003. Mon. Not. R. Astron. Soc. 344, 1000–1028 (2003).
Sánchez-Blázquez, P. et al. Medium-resolution isaac newton telescope library of empirical spectra. Mon. Not. R. Astron. Soc. 371, 703–718 (2006).
da Cunha, E., Charlot, S. & Elbaz, D. A simple model to interpret the ultraviolet, optical and infrared emission from galaxies. Mon. Not. R. Astron. Soc. 388, 1595–1617 (2008).
Wild, V. et al. Bursty stellar populations and obscured active galactic nuclei in galaxy bulges. Mon. Not. R. Astron. Soc. 381, 543–572 (2007).
Trayford, J. W. et al. Optical colours and spectral indices of z = 0.1 EAGLE galaxies with the 3D dust radiative transfer code skirt. Mon. Not. R. Astron. Soc. 470, 771–799 (2017).
Goto, T. et al. Hδ-strong galaxies in the Sloan Digital Sky Survey: I. The catalog. Publ. Astron. Soc. Jpn 55, 771–787 (2003).
Tremonti, C. A., Moustakas, J. & Diamond-Stanic, A. M. The discovery of 1000 km s−1 outflows in massive poststarburst galaxies at z = 0.6. Astrophys. J. Lett. 663, L77–L80 (2007).
Yan, R. et al. On the origin of [O ii] emission in red-sequence and poststarburst galaxies. Astrophys. J. 648, 281–298 (2006).
Alatalo, K. et al. Shocked poststarbust galaxy survey. I. Candidate post-starbust galaxies with emission line ratios consistent with shocks. Astrophys. J. Suppl. Ser. 224, 38 (2016).
Quintero, A. D. et al. Selection and photometric properties of K+A galaxies. Astrophys. J. 602, 190–199 (2004).
Nolan, L. A., Raychaudhury, S. & Kabán, A. Young stellar populations in early-type galaxies in the Sloan Digital Sky Survey. Mon. Not. R. Astron. Soc. 375, 381–387 (2007).
Balogh, M. L., Miller, C., Nichol, R., Zabludoff, A. & Goto, T. Near-infrared imaging of 222 nearby Hδ-strong galaxies from the Sloan Digital Sky Survey. Mon. Not. R. Astron. Soc. 360, 587–609 (2005).
von der Linden, A., Wild, V., Kauffmann, G., White, S. D. M. & Weinmann, S. Star formation and activity in SDSS cluster galaxies. Mon. Not. R. Astron. Soc. 404, 1231–1246 (2010).
Kauffmann, G. et al. The dependence of star formation history and internal structure on stellar mass for 105 low-redshift galaxies. Mon. Not. R. Astron. Soc. 341, 54–69 (2003).
Abazajian, K. N. et al. The seventh data release of the Sloan Digital Sky Survey. Astrophys. J. Suppl. Ser. 182, 543–558 (2009).
Goto, T. A catalogue of local E+A (post-starburst) galaxies selected from the Sloan Digital Sky Survey Data release 5. Mon. Not. R. Astron. Soc. 381, 187–193 (2007).
Trayford, J. W. et al. Colours and luminosities of z = 0.1 galaxies in the EAGLE simulation. Mon. Not. R. Astron. Soc. 452, 2879–2896 (2015).
Wild, V. et al. Empirical determination of the shape of dust attenuation curves in star-forming galaxies. Mon. Not. R. Astron. Soc. 417, 1760–1786 (2011).
Chevallard, J., Charlot, S., Wandelt, B. & Wild, V. Insights into the content and spatial distribution of dust from the integrated spectral properties of galaxies. Mon. Not. R. Astron. Soc. 432, 2061–2091 (2013).
Cid Fernandes, R., Mateus, A., Sodré, L., Stasińska, G. & Gomes, J. M. Semi-empirical analysis of Sloan Digital Sky Survey galaxies—I. Spectral synthesis method. Mon. Not. R. Astron. Soc. 358, 363–378 (2005).
Davis, T. A. et al. Evolution of the cold gas properties of simulated post-starburst galaxies. Mon. Not. R. Astron. Soc. 484, 2447–2461 (2018).
Di Matteo, P. et al. On the frequency, intensity, and duration of starburst episodes triggered by galaxy interactions and mergers. Astron. Astrophys. 492, 31–49 (2008).
Lagos, Cd. P. et al. Angular momentum evolution of galaxies in EAGLE. Mon. Not. R. Astron. Soc. 464, 3850–3870 (2017).
Baes, M. et al. Radiative transfer in disc galaxies—III. The observed kinematics of dusty disc galaxies. Mon. Not. R. Astron. Soc. 343, 1081–1094 (2003).
Camps, P. & Baes, M. SKIRT: an advanced dust radiative transfer code with a user-friendly architecture. Astron. Comput. 9, 20–33 (2015).
Groves, B. et al. Modeling the pan-spectral energy distribution of starburst galaxies. IV. The controlling parameters of the starburst sed. Astrophys. J. Suppl. Ser. 176, 438–456 (2008).
Bershady, M. A., Jangren, A. & Conselice, C. J. Structural and photometric classification of galaxies. I. Calibration based on a nearby galaxy sample. Astron. J. 119, 2645–2663 (2000).
The EAGLE team The EAGLE simulations of galaxy formation: public release of particle data. Preprint at https://arxiv.org/abs/1706.09899 (2017).
Acknowledgements
M.M.P. and V.W. acknowledge support of the European Research Council (SEDMorph, principal investigator V.W.). S.M. acknowledges support from the Academy of Finland, grant number 314238. R.A.C. is a Royal Society University Research Fellow. V.W. thanks A. Werle for his help investigating the PC amplitude offsets. This work was supported by the Science and Technology Facilities Council (grant number ST/P000541/1). This work used the DiRAC Data Centric system at Durham University, operated by the Institute for Computational Cosmology on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). This equipment was funded by BIS National E-infrastructure capital grant ST/K00042X/1, STFC capital grant ST/H008519/1 and STFC DiRAC Operations grant ST/K003267/1 and Durham University. DiRAC is part of the National E-Infrastructure.
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M.M.P. led the analysis and writing of the manuscript, with significant input from S.M. and J.W.T. who provided the EAGLE data and associated analysis products. V.W. conceived the initial idea, supported M.M.P. throughout the project and led the response to the referees reports. R.B., R.A.C., M.S. and J.S. are builders of the EAGLE simulation. They read and commented on the manuscript.
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Pawlik, M.M., McAlpine, S., Trayford, J.W. et al. The diverse evolutionary pathways of post-starburst galaxies. Nat Astron 3, 440–446 (2019). https://doi.org/10.1038/s41550-019-0725-z
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DOI: https://doi.org/10.1038/s41550-019-0725-z