Cited by 126Galaxies: Formation, Evolution, PhenomenaCosmology and Gravitation TheoriesDark Matter and Cosmic Phenomena

Halo Profiles and the Concentration–Mass Relation for a ΛCDM Universe

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Child, Hillary L., Habib, Salman, Heitmann, Katrin, Frontiere, Nicholas, Finkel, Hal, Pope, Adrian, Morozov, Vitali·2018·The Astrophysical Journal

Abstract

Profiles of dark matter-dominated halos at the group and cluster scales play an important role in modern cosmology. Using results from two very large cosmological N-body simulations, which increase the available volume at their mass resolution by roughly two orders of magnitude, we robustly determine the halo concentration–mass (c−M) relation over a wide range of masses, employing multiple methods of concentration measurement. We characterize individual halo profiles, as well as stacked profiles, relevant for galaxy–galaxy lensing and next-generation cluster surveys; the redshift range covered is 0 ≤ z ≤ 4, with a minimum halo mass of M 200 c ∼ 2 × 10 11 M ⊙. Despite the complexity of a proper description of a halo (environmental effects, merger history, nonsphericity, relaxation state), when the mass is scaled by the nonlinear mass scale M ⋆(z), we find that a simple non-power-law form for the c–M/M ⋆ relation provides an excellent description of our simulation results across eight decades in M/M ⋆ and for 0 ≤ z ≤ 4. Over the mass range covered, the c–M relation has two asymptotic forms: an approximate power law below a mass threshold M/M ⋆ ∼ 500–1000, transitioning to a constant value, c 0 ∼ 3 at higher masses. The relaxed halo fraction decreases with mass, transitioning to a constant value of ∼0.5 above the same mass threshold. We compare Navarro–Frenk–White (NFW) and Einasto fits to stacked profiles in narrow mass bins at different redshifts; as expected, the Einasto profile provides a better description of the simulation results. At cluster scales at low redshift, however, both NFW and Einasto profiles are in very good agreement with the simulation results, consistent with recent weak lensing observations.

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  1. Amodeo, S., Ettori, S., Capasso, R., & Sereno, M. 2016, A&A, 590, A126 · DOI
  2. Angel, P. W., Poole, G. B., Ludlow, A. D., et al. 2016, MNRAS, 459, 2106 · DOI
  3. Baugh, C. M. 2006, RPPh, 69, 3101 · DOI
  4. Benson, A. J. 2010, PhR, 495, 33 · DOI
  5. Benson, A. J., Bower, R. G., Frenk, C. S., et al. 2003, ApJ, 599, 38 · DOI
  6. Benson, A. J., Cole, S., Frenk, C. S., Baugh, C. M., & Lacey, C. G. 2000, MNRAS, 311, 793 · DOI
  7. Berlind, A. A., & Weinberg, D. H. 2002, ApJ, 575, 587 · DOI
  8. Bhattacharya, S., Habib, S., Heitmann, K., & Vikhlinin, A. 2013, ApJ, 766, 32 · DOI
  9. Bhattacharya, S., Heitmann, K., White, M., et al. 2011, ApJ, 732, 211 · DOI
  10. Brimioulle, F., Seitz, S., Lerchster, M., Bender, R., & Snigula, J. 2013, MNRAS, 432, 1046 · DOI
  11. Broadhurst, T., Umetsu, K., Medezinski, E., Oguri, M., & Rephaeli, Y. 2008, ApJL, 685, L9 · DOI
  12. Bullock, J. S., Kolatt, T. S., Sigad, Y., et al. 2001, MNRAS, 321, 559 · DOI
  13. Cibirka, N., Cypriano, E. S., Brimioulle, F., et al. 2017, MNRAS, 468, 1092 · DOI
  14. Cole, S., Aragon-Salamanca, A., Frenk, C. S., Navarro, J. F., & Zepf, S. E. 1994, MNRAS, 271, 781 · DOI
  15. Comerford, J. M., & Natarajan, P. 2007, MNRAS, 379, 190 · DOI
  16. Conroy, C., Wechsler, R. H., & Kravtsov, A. V. 2006, ApJ, 647, 201 · DOI
  17. Correa, C. A., Wyithe, J. S. B., Schaye, J., & Duffy, A. 2015, MNRAS, 452, 1217 · DOI
  18. Dalal, N., Lithwick, Y., & Kuhlen, M. 2010, arXiv:1010.2539 · arXiv
  19. Diemer, B., & Kravtsov, A. V. 2015, ApJ, 799, 108 · DOI
  20. Dolag, K., Bartelmann, M., Perrotta, F., et al. 2004, A&A, 416, 853 · DOI
  21. Duffy, A. R., Schaye, J., Kay, S. T., et al. 2010, MNRAS, 405, 2161 · DOI · Paper page
  22. Duffy, A. R., Schaye, J., Kay, S. T., & Dalla Vecchia, C. 2008, MNRAS, 390, L64 · DOI
  23. Dutton, A. A., & Macciò, A. V. 2014, MNRAS, 441, 3359 · DOI · Paper page
  24. Eke, V., Navarro, H., & Steinmetz, M. 2001, ApJ, 554, 115 · DOI
  25. Foëx, G., Motta, V., Jullo, E., Limousin, M., & Verdugo, T. 2014, A&A, 572, A19 · DOI
  26. Gao, L., Navarro, J. F., Cole, S., et al. 2008, MNRAS, 387, 536 · DOI
  27. Gil-Marín, H., Guy, J., Zarrouk, P., et al. 2018, arXiv:1801.02689 · arXiv
  28. Guo, Q., White, S., Cheng, L., & Bolyan-Kolchin, M. 2010, MNRAS, 404, 1111 · DOI
  29. Habib, S., Pope, A., Finkel, H., et al. 2016, NewA, 42, 49 · DOI
  30. Hearin, A. P., Zentner, A. R., van den Bosch, F. C., Campbell, D., & Tollerud, E. 2016, MNRAS, 460, 2552 · DOI
  31. Heitmann, K., Bingham, D., Lawrence, E., et al. 2016, ApJ, 820, 108 · DOI
  32. Heitmann, K., Frontiere, N., Sewell, C., et al. 2015, ApJS, 219, 34 · DOI
  33. Heitmann, K., Lukić, Z., Habib, S., & Ricker, P. M. 2006, ApJL, 642, L85 · DOI
  34. Heitmann, K., White, M., Wagner, C., Habib, S., & Higdon, D. 2010, ApJ, 715, 104 · DOI
  35. Holder, G., Haiman, Z., & Mohr, J. J. 2001, ApJL, 560, L111 · DOI
  36. Hou, J., Sánchez, A. G., Scoccimarro, R., et al. 2018, arXiv:1801.02656 · arXiv
  37. Hu, W., & Kratsov, A. V. 2003, ApJ, 584, 702 · DOI
  38. Jenkins, A., Frenk, C. S., White, S. D. M., et al. 2001, MNRAS, 321, 372 · DOI
  39. Jing, Y. P., Mo, H. J., & Börner, G. 1998, ApJ, 494, 1 · DOI
  40. Jing, Y. P., & Suto, Y. 2002, ApJ, 574, 538 · DOI
  41. Johnston, D. E., Sheldon, E. S., Wechsler, R. H., et al. 2007, arXiv:0709.1159 · arXiv
  42. Kauffmann, G., Nusser, A., & Steinmetz, M. 1997, MNRAS, 286, 795 · DOI
  43. Kauffmann, G., White, S. D. M., & Guiderdoni, B. 1993, MNRAS, 264, 201 · DOI
  44. Klypin, A. A., Trujillo-Gomez, S., & Primack, J. 2011, ApJ, 740, 102 · DOI
  45. Komatsu, E., Smith, K. M., Dunkley, J., et al. 2011, ApJS, 192, 18 · DOI · Paper page
  46. Kwan, J., Bhattacharya, S., Heitmann, K., & Habib, S. 2013, ApJ, 768, 123 · DOI
  47. Lawrence, E., Heitmann, K., Kwan, J., et al. 2017, arXiv:1705.03388 · arXiv
  48. LSST Science Collaboration, Abell, P. A., Allison, J., et al. 2009, arXiv:0912.0201 · arXiv
  49. Ludlow, A. D., Bose, S., Angulo, R. E., et al. 2016, MNRAS, 460, 1214 · DOI
  50. Ludlow, A. D., Navarro, J. F., Angulo, R. E., et al. 2014, MNRAS, 441, 378 · DOI · Paper page
  51. Ludlow, A. D., Navarro, J. F., Li, M., et al. 2012, MNRAS, 427, 1322 · DOI
  52. Lukić, Z., Heitmann, K., Habib, S., Bashinsky, S., & Ricker, P. M. 2007, ApJ, 671, 1160 · DOI
  53. Lukić, Z., Reed, D., Habib, S., & Heitmann, K. 2009, ApJ, 692, 217 · DOI
  54. Macciò, A. V., Dutton, A. A., & van den Bosch, F. C. 2008, MNRAS, 391, 1940 · DOI
  55. Mandelbaum, R., Seljak, U., Cool, R. J., et al. 2006, MNRAS, 372, 758 · DOI
  56. Mandelbaum, R., Seljak, U., & Hirata, C. M. 2008, JCAP, 0808, 006 · DOI
  57. Meneghetti, M., Bartelmann, M., Dolag, K., et al. 2005, A&A, 442, 413 · DOI
  58. Meneghetti, M., & Rasia, E. 2013, arXiv:1303.6158 · arXiv
  59. Merritt, D., Graham, A. W., Moore, B., Diemand, J., & Terzić, B. 2006, AJ, 132, 2685 · DOI
  60. Merten, J., Meneghetti, M., Postman, M., et al. 2015, ApJ, 806, 4 · DOI
  61. Moster, B. P., Somerville, R. S., Maulbetsch, C., et al. 2010, ApJ, 710, 903 · DOI
  62. Muñoz-Cuartas, J. C., Macciò, A. V., Gottlöber, S., & Dutton, A. A. 2011, MNRAS, 411, 584 · DOI
  63. Navarro, J. F., Frenk, C. S., & White, S. D. M. 1997, ApJ, 490, 493 · DOI · Paper page
  64. Navarro, J. F., Hayashi, E., Power, C., et al. 2004, MNRAS, 349, 1039 · DOI
  65. Neto, A. F., Gao, L., Bett, P., et al. 2007, MNRAS, 381, 1450 · DOI · Paper page
  66. Newman, A. B., Treu, T., Ellis, R. S., et al. 2013, ApJ, 765, 24 · DOI
  67. Niikura, H., Takada, M., Okabe, N., Martino, R., & Takahashi, R. 2015, PASJ, 67, 103 · DOI
  68. Oguri, M., Bayliss, M. B., Dahle, H., et al. 2012, MNRAS, 420, 3213 · DOI
  69. Okabe, N., & Smith, G. P. 2016, MNRAS, 461, 2794 · DOI
  70. Okabe, N., Smith, G. P., Umetsu, K., Takada, M., & Futamase, T. 2013, ApJL, 769, L35 · DOI
  71. Okabe, N., Takada, M., Umetsu, K., Futamase, T., & Smith, G. P. 2010, PASJ, 62, 811 · DOI
  72. Okoli, C., & Afshordi, N. 2016, MNRAS, 456, 3068 · DOI
  73. Peacock, J. P., & Smith, R. E. 2000, MNRAS, 318, 1144 · DOI
  74. Poveda-Ruiz, C. N., Forero-Romero, J. E., & Muñoz-Cuartas, J. C. 2016, ApJ, 832, 169 · DOI
  75. Power, C., Navarro, J. F., Jenkins, A., et al. 2003, MNRAS, 338, 14 · DOI
  76. Prada, F., Klypin, A. A., Cuesta, A. J., Betancort-Rijo, J. E., & Primack, J. 2012, MNRAS, 423, 3018 · DOI
  77. Prada, F., Klypin, A. A., Simonneau, E., et al. 2006, ApJ, 645, 1001 · DOI
  78. Reed, D. S., Koushiappas, S. M., & Gao, L. 2011, MNRAS, 415, 3177 · DOI
  79. Refregier, A., Amara, A., Kitching, T. D., et al. 2010, arXiv:1001.0061 · arXiv
  80. Rodríguez-Puebla, A., Behroozi, P., Primack, J., et al. 2016, MNRAS, 462, 893 · DOI
  81. Schmidt, R. W., & Allen, S. W. 2007, MNRAS, 379, 209 · DOI
  82. Seljak, U. 2000, MNRAS, 318, 203 · DOI
  83. Sereno, M., & Covone, G. 2013, MNRAS, 434, 878 · DOI
  84. Simet, M., McClintock, T., Mandelbaum, R., et al. 2017, MNRAS, 466, 3103 · DOI
  85. Somerville, R. S., & Primack, J. R. 1999, MNRAS, 310, 1087 · DOI
  86. Spergel, D., Gehrels, N., Baltay, C., et al. 2015, arXiv:1503.03757 · arXiv
  87. Umetsu, K., Broadhurst, T., Zitrin, A., Medezinski, E., & Postman, M. 2011, ApJ, 738, 41 · DOI
  88. Umetsu, K., & Diemer, B. 2017, ApJ, 836, 231 · DOI
  89. Umetsu, K., Medezinski, E., Nonino, M., et al. 2014, ApJ, 795, 163 · DOI
  90. Umetsu, K., Zitrin, A., Gruen, D., et al. 2016, ApJ, 821, 116 · DOI
  91. Vale, A., & Ostriker, J. P. 2004, MNRAS, 353, 189 · DOI
  92. van den Bosch, F. C., Jiang, F., Hearin, A., et al. 2014, MNRAS, 445, 1713 · DOI
  93. Vikhlinin, A., Kravtsov, A., Forman, W., et al. 2006, ApJ, 640, 691 · DOI
  94. Wechsler, R. H., Bullock, J. S., Primack, J. R., Kravtsov, A. V., & Dekel, A. 2002, ApJ, 568, 52 · DOI
  95. Wetzel, A. R., & White, M. 2010, MNRAS, 403, 1072 · DOI
  96. White, M. 2002, ApJS, 143, 241 · DOI
  97. White, S. D. M., & Frenk, C. S. 1991, ApJ, 379, 52 · DOI
  98. Zarrouk, P., Burtin, E., Gil-Marín, H., et al. 2018, arXiv:1801.03062 · arXiv
  99. Zhao, D. H., Jing, Y. P., Mo, H. J., & Börner, G. 2003, ApJL, 597, L9 · DOI
  100. Zhao, D. H., Jing, Y. P., Mo, H. J., & Börner, G. 2009, ApJ, 707, 354 · DOI
  101. Zheng, Z., Berlind, A. A., Weinberg, D. H., et al. 2005, ApJ, 633, 791 · DOI

Cited by

Sorted by citations

Authors
Child, H. L., Habib, S., Heitmann, K., Frontiere, N., Finkel, H., Pope, A., & Morozov, V.
Affiliations
Argonne National Laboratory (US)
Venue
The Astrophysical Journal
Published
2018-05-20
Volume
859
Issue
1
Pages
55
ISSN
  • 0004-637X (ISSN-L)
  • 1538-4357
OpenAlex
W2799028169
Cited by
126
References
4
Citations by year
2026: 11 · 2025: 11 · 2024: 17 · 2023: 15 · 2022: 18 · 2021: 17 · 2020: 22 · 2019: 13 · 2018: 2
FWCI
7.08
Type
journal article
Language
en
Open access
Locations
  • The Astrophysical Journal (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • National Science Foundation (DEAC05- 00OR22725, 00OR22725, 1144082, DE-AC02–06CH11357)
  • U.S. Department of Energy (AC05-00OR22725, AC02‐06CH11357, DE-AC05?, 06CH11357, 00OR22725, DE-AC02-)
  • Office of Science (DEAC05- 00OR22725, AC02‐06CH11357, DE-AC02, 06CH11357, AC05-00OR22725, DE-AC02-06CH11357)
  • Leibniz-Gemeinschaft
  • Advanced Scientific Computing Research (DE-AC05-00OR22725, AC02-06CH11357, DE-AC02-06CH11357)
  • Argonne National Laboratory (DE- AC02-06-CH11357, DE-AC02, AC02–06CH11357, 06CH11357, DE-AC05-00OR22725)
Topics
  • Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Galaxies: Formation, Evolution, Phenomena
  • Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Cosmology and Gravitation Theories
  • Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › Dark Matter and Cosmic Phenomena
Keywords
dark matter halos, halo concentration-mass relation, halo profiles, galaxy clusters, galaxy groups, galaxy-galaxy lensing, Navarro-Frenk-White profile, Einasto profile, weak gravitational lensing, N-body simulations

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