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First results from the IllustrisTNG simulations: the galaxy colour bimodality

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Nelson, Dylan, Pillepich, Annalisa, Springel, Volker, Weinberger, Rainer, Hernquist, Lars, Pakmor, Rüdiger, Genel, Shy, Torrey, Paul, Vogelsberger, Mark, Kauffmann, Guinevere, Marinacci, Federico, Naiman, Jill·2018·Monthly Notices of the Royal Astronomical Society

Abstract

We introduce the first two simulations of the IllustrisTNG project, a next generation of cosmological magnetohydrodynamical simulations, focusing on the optical colours of galaxies. We explore TNG100, a rerun of the original Illustris box, and TNG300, which includes 2 × 25003 resolution elements in a volume 20 times larger. Here, we present first results on the galaxy colour bimodality at low redshift. Accounting for the attenuation of stellar light by dust, we compare the simulated (g − r) colours of 109 < M⋆/M⊙ < 1012.5 galaxies to the observed distribution from the Sloan Digital Sky Survey. We find a striking improvement with respect to the original Illustris simulation, as well as excellent quantitative agreement with the observations, with a sharp transition in median colour from blue to red at a characteristic M⋆ ∼ 1010.5 M⊙. Investigating the build-up of the colour–mass plane and the formation of the red sequence, we demonstrate that the primary driver of galaxy colour transition is supermassive black hole feedback in its low accretion state. Across the entire population the median colour transition time-scale Δtgreen is ∼1.6 Gyr, a value which drops for increasingly massive galaxies. We find signatures of the physical process of quenching: at fixed stellar mass, redder galaxies have lower star formation rates, gas fractions, and gas metallicities; their stellar populations are also older and their large-scale interstellar magnetic fields weaker than in bluer galaxies. Finally, we measure the amount of stellar mass growth on the red sequence. Galaxies with M⋆ > 1011 M⊙ which redden at z < 1 accumulate on average ∼25 per cent of their final z = 0 mass post-reddening; at the same time, ∼18 per cent of such massive galaxies acquire half or more of their final stellar mass while on the red sequence.

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Research works printed but not linked: 96

  1. Ahn, 2014, ApJS, 211, 17, 10.1088/0067-0049/211/2/17 · DOI · Paper page
  2. Alam, 2015, ApJS, 219, 12, 10.1088/0067-0049/219/1/12 · DOI · Paper page
  3. Ann, 2008, MNRAS, 389, 86, 10.1111/j.1365-2966.2008.13581.x · doi:10.1111/j.1365-2966.2008.13581.x
  4. Baldry, 2004, ApJ, 600, 681, 10.1086/380092 · DOI · Paper page
  5. Baldry, 2006, MNRAS, 373, 469, 10.1111/j.1365-2966.2006.11081.x · DOI · Paper page
  6. Bell, 2004, ApJ, 608, 752, 10.1086/420778 · DOI · Paper page
  7. Benson, 2012, New Astron., 17, 175, 10.1016/j.newast.2011.07.004 · DOI · Paper page
  8. Bernardi, 2010, MNRAS, 404, 2087
  9. Blanton, 2003, ApJ, 594, 186, 10.1086/375528 · DOI · Paper page
  10. Bottrell, 2017, MNRAS, 467, 1033, 10.1093/mnras/stx276 · DOI
  11. Bower, 2006, MNRAS, 370, 645, 10.1111/j.1365-2966.2006.10519.x · DOI · Paper page
  12. Bower, 2017, MNRAS, 465, 32, 10.1093/mnras/stw2735 · DOI · Paper page
  13. Bruzual, 1983, ApJ, 273, 105, 10.1086/161352 · DOI · Paper page
  14. Calzetti, 1994, ApJ, 429, 582, 10.1086/174346 · DOI · Paper page
  15. Cardelli, 1989, ApJ, 345, 245, 10.1086/167900 · DOI · Paper page
  16. Cattaneo, 2007, MNRAS, 377, 63, 10.1111/j.1365-2966.2007.11597.x · DOI
  17. Cen, 2014, ApJ, 789, L21, 10.1088/2041-8205/789/1/L21 · DOI
  18. Charlot, 2000, ApJ, 539, 718, 10.1086/309250 · DOI · Paper page
  19. Chilingarian, 2010, MNRAS, 405, 1409, 10.1111/j.1745-3933.2010.00849.x · DOI
  20. Cole, 2000, MNRAS, 319, 168, 10.1046/j.1365-8711.2000.03879.x · DOI · Paper page
  21. Conroy, 2010, ApJ, 712, 833, 10.1088/0004-637X/712/2/833 · DOI · Paper page
  22. Conroy, 2009, ApJ, 699, 486, 10.1088/0004-637X/699/1/486 · DOI · Paper page
  23. Cook, 2016, ApJ, 833, 158, 10.3847/1538-4357/833/2/158 · DOI
  24. Crain, 2015, MNRAS, 450, 1937, 10.1093/mnras/stv725 · DOI · Paper page
  25. Croton, 2006, MNRAS, 365, 11, 10.1111/j.1365-2966.2005.09675.x · DOI · Paper page
  26. Cucciati, 2017, A&A, 602, A15, 10.1051/0004-6361/201630113 · doi:10.1051/0004-6361/201630113
  27. Davé, 2016, MNRAS, 462, 3265, 10.1093/mnras/stw1862 · DOI · Paper page
  28. Davé, 2017, MNRAS, 471, 1671, 10.1093/mnras/stx1693 · DOI
  29. Davis, 1985, ApJ, 292, 371, 10.1086/163168 · DOI · Paper page
  30. Dolag, 2016, MNRAS, 463, 1797, 10.1093/mnras/stw2035 · DOI · Paper page
  31. Dubois, 2016, MNRAS, 463, 3948, 10.1093/mnras/stw2265 · DOI · Paper page
  32. Evrard, 2002, ApJ, 573, 7, 10.1086/340551 · DOI · Paper page
  33. Faber, 2007, ApJ, 665, 265, 10.1086/519294 · DOI · Paper page
  34. Farrow, 2015, MNRAS, 454, 2120, 10.1093/mnras/stv2075 · doi:10.1093/mnras/stv2075
  35. Faucher-Giguère, 2009, ApJ, 703, 1416, 10.1088/0004-637X/703/2/1416 · DOI · Paper page
  36. Fogarty, 2015, ApJ, 813, 117, 10.1088/0004-637X/813/2/117 · doi:10.1088/0004-637x/813/2/117
  37. Foreman-Mackey, 2013, PASP, 125, 306, 10.1086/670067 · DOI · Paper page
  38. Frenk, 1983, ApJ, 271, 417, 10.1086/161209 · DOI
  39. Gabor, 2012, MNRAS, 427, 1816, 10.1111/j.1365-2966.2012.21640.x · DOI
  40. Gallazzi, 2005, MNRAS, 362, 41, 10.1111/j.1365-2966.2005.09321.x · DOI · Paper page
  41. Genel, 2014, MNRAS, 445, 175, 10.1093/mnras/stu1654 · DOI · Paper page
  42. González Delgado, 2015, A&A, 581, A103, 10.1051/0004-6361/201525938 · DOI · Paper page
  43. Górski, 2005, ApJ, 622, 759, 10.1086/427976 · DOI · Paper page
  44. Guidi, 2015, MNRAS, 454, 2381, 10.1093/mnras/stv2050 · doi:10.1093/mnras/stv2050
  45. Guidi, 2016, MNRAS, 462, 2046, 10.1093/mnras/stw1790 · DOI
  46. Guo, 2009, MNRAS, 396, 39, 10.1111/j.1365-2966.2009.14498.x · DOI
  47. Gutcke, 2017, MNRAS, 466, 4614
  48. Henriques, 2015, MNRAS, 451, 2663, 10.1093/mnras/stv705 · DOI · Paper page
  49. Kang, 2005, ApJ, 631, 21, 10.1086/432493 · DOI
  50. Katz, 1996, ApJS, 105, 19, 10.1086/192305 · DOI · Paper page
  51. Kauffmann, 2003, MNRAS, 341, 33, 10.1046/j.1365-8711.2003.06291.x · DOI · Paper page
  52. Kauffmann, 2003, MNRAS, 341, 54, 10.1046/j.1365-8711.2003.06292.x · DOI · Paper page
  53. Kauffmann, 2004, MNRAS, 353, 713, 10.1111/j.1365-2966.2004.08117.x · DOI · Paper page
  54. Kirby, 2013, ApJ, 779, 102, 10.1088/0004-637X/779/2/102 · DOI · Paper page
  55. Klypin, 2011, ApJ, 740, 102, 10.1088/0004-637X/740/2/102 · DOI · Paper page
  56. Law-Smith, 2017, ApJ, 836, 87, 10.3847/1538-4357/836/1/87 · doi:10.3847/1538-4357/836/1/87
  57. Leja, 2017, ApJ, 837, 170, 10.3847/1538-4357/aa5ffe · DOI · Paper page
  58. Loubser, 2009, MNRAS, 398, 133, 10.1111/j.1365-2966.2009.15171.x · doi:10.1111/j.1365-2966.2009.15171.x
  59. McDonald, 2016, ApJ, 817, 86, 10.3847/0004-637X/817/2/86 · DOI
  60. McKinnon, 2016, MNRAS, 457, 3775, 10.1093/mnras/stw253 · DOI
  61. Menci, 2005, ApJ, 632, 49, 10.1086/432788 · DOI
  62. Naab, 2006, ApJ, 636, L81, 10.1086/500205 · DOI · Paper page
  63. Nelson, 2015, Astron. Comput., 13, 12, 10.1016/j.ascom.2015.09.003 · DOI · Paper page
  64. Pakmor, 2013, MNRAS, 432, 176, 10.1093/mnras/stt428 · DOI · Paper page
  65. Pakmor, 2011, MNRAS, 418, 1392, 10.1111/j.1365-2966.2011.19591.x · DOI · Paper page
  66. Pandya, 2016, MNRAS, 472, 2054, 10.1093/mnras/stx2027 · DOI
  67. Peng, 2010, ApJ, 721, 193, 10.1088/0004-637X/721/1/193 · DOI · Paper page
  68. Planck Collaboration XIII, 2016, A&A, 594, A13, 10.1051/0004-6361/201525830 · DOI · Paper page
  69. Powell, 2017, ApJ, 835, 22, 10.3847/1538-4357/835/1/22 · DOI
  70. Rahmati, 2013, MNRAS, 430, 2427, 10.1093/mnras/stt066 · DOI · Paper page
  71. Rodriguez-Gomez, 2015, MNRAS, 449, 49, 10.1093/mnras/stv264 · DOI · Paper page
  72. Rodriguez-Gomez, 2017, MNRAS, 467, 3083, 10.1093/mnras/stx305 · DOI · Paper page
  73. Sales, 2015, MNRAS, 447, L6, 10.1093/mnrasl/slu173 · DOI
  74. Schawinski, 2014, MNRAS, 440, 889, 10.1093/mnras/stu327 · DOI · Paper page
  75. Schaye, 2015, MNRAS, 446, 521, 10.1093/mnras/stu2058 · DOI · Paper page
  76. Sijacki, 2015, MNRAS, 452, 575, 10.1093/mnras/stv1340 · DOI · Paper page
  77. Snyder, 2015, MNRAS, 454, 1886, 10.1093/mnras/stv2078 · DOI · Paper page
  78. Somerville, 2008, MNRAS, 391, 481, 10.1111/j.1365-2966.2008.13805.x · DOI · Paper page
  79. Springel, 2010, MNRAS, 401, 791, 10.1111/j.1365-2966.2009.15715.x · DOI · Paper page
  80. Springel, 2001, MNRAS, 328, 726, 10.1046/j.1365-8711.2001.04912.x · DOI · Paper page
  81. Springel, 2005, Nature, 435, 629, 10.1038/nature03597 · DOI · Paper page
  82. Strateva, 2001, AJ, 122, 1861, 10.1086/323301 · DOI · Paper page
  83. Strauss, 2002, AJ, 124, 1810, 10.1086/342343 · DOI · Paper page
  84. Taylor, 2015, MNRAS, 446, 2144, 10.1093/mnras/stu1900 · DOI
  85. Torrey, 2015, MNRAS, 447, 2753, 10.1093/mnras/stu2592 · DOI
  86. Trayford, 2016, MNRAS, 460, 3925, 10.1093/mnras/stw1230 · DOI
  87. Trayford, 2017, MNRAS, 470, 771, 10.1093/mnras/stx1051 · DOI · Paper page
  88. van-Dokkum, 1999, ApJ, 520, L95, 10.1086/312154 · DOI · Paper page
  89. Vogelsberger, 2014, MNRAS, 444, 1518, 10.1093/mnras/stu1536 · DOI · Paper page
  90. Vogelsberger, 2014, Nature, 509, 177, 10.1038/nature13316 · DOI · Paper page
  91. Wang, 2012, MNRAS, 424, 2574, 10.1111/j.1365-2966.2012.21256.x · DOI
  92. Weinberger, 2017, MNRAS, 465, 3291, 10.1093/mnras/stw2944 · DOI · Paper page
  93. Wild, 2011, MNRAS, 417, 1760, 10.1111/j.1365-2966.2011.19367.x · DOI · Paper page
  94. Wild, 2016, MNRAS, 463, 832, 10.1093/mnras/stw1996 · DOI
  95. Woo, 2008, MNRAS, 390, 1453
  96. Xu, 2017, MNRAS, 469, 1824, 10.1093/mnras/stx899 · DOI

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Metadata

Authors
Nelson, D., Pillepich, A., Springel, V., Weinberger, R., Hernquist, L., Pakmor, R., Genel, S., Torrey, P., Vogelsberger, M., Kauffmann, G., Marinacci, F., & Naiman, J.
Venue
Monthly Notices of the Royal Astronomical Society
Published
2017-11-24
Volume
475
Issue
1
Pages
624-647
ISSN
  • 0035-8711 (ISSN-L)
  • 1365-2966
OpenAlex
W2734538553
Cited by
1,550
References
4
FWCI
40.28
Type
journal article
Language
en
Open access
green
Funders
  • ERC (EXAGAL-308037)
  • NASA (HST-HF-51384.001-A, HST-HF2-51341.001-A)
  • NSF (AST-1402480)

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CoChat. (2026). Citation check: First results from the IllustrisTNG simulations: the galaxy colour bimodality. https://app.cochat.ai/papers/10.1093/mnras/stx3040
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Nelson, D., Pillepich, A., Springel, V., Weinberger, R., Hernquist, L., Pakmor, R., Genel, S., Torrey, P., Vogelsberger, M., Kauffmann, G., Marinacci, F., & Naiman, J. (2018). First results from the IllustrisTNG simulations: the galaxy colour bimodality. Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1093/mnras/stx3040

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