Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-23T23:36:33.382Z Has data issue: false hasContentIssue false
  • English
  • Français

Modelling the outskirts of galaxies in a cosmological context

Published online by Cambridge University Press:  21 March 2017

Andrew P. Cooper
Andrew P. Cooper*
Affiliation:
Institute for Computational Cosmology, Durham University Science Site, South Road, Durham, DH1 3LE, UK email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Current data broadly support trends of galaxy surface brightness profile amplitude and shape with total stellar mass predicted by state-of-the-art ΛCDM cosmological simulations, although recent results show signs of interesting discrepancies, particularly for galaxies less massive than the Milky Way. Here I discuss how perhaps the largest contribution to such discrepancies can be inferred almost directly from how well a given model agrees with the observed present-day galaxy stellar mass function.

Keywords

galaxies: evolutiongalaxies: halosgalaxies: structuremethods: n-body simulations
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 11 , Symposium S321: Formation and Evolution of Galaxy Outskirts , March 2016 , pp. 69 - 71
Copyright
Copyright © International Astronomical Union 2017 

References

Bower, R. G., et al. 2006, MNRAS, 370, 645–655 CrossRefGoogle Scholar
Cole, S., Lacey, C. G., Baugh, C. M., & Frenk, C. S. 2000, MNRAS, 319, 168–204 Google Scholar
Cooper, A. P., et al. 2013, MNRAS, 434, 3348–3367; C13Google Scholar
Cooper, A. P., et al. 2015, MNRAS, 451, 2703–2722 Google Scholar
De Lucia, G. & Blaizot, J. 2007, MNRAS, 375, 2–14 Google Scholar
D'Souza, R., Kauffman, G., Wang, J., & Vegetti, S. 2014, MNRAS, 443, 1433–1450 Google Scholar
Guo, Q. & White, S. D. M. 2008, MNRAS, 384, 2–10 CrossRefGoogle Scholar
Guo, Q., White, S., Li, C., & Boylan-Kolchin, M. 2010, MNRAS, 404, 1111–1120 Google Scholar
Guo, Q., et al. 2011, MNRAS, 413, 101–131 Google Scholar
Iodice, E. et al. 2016, ApJ, 820, 42 Google Scholar
Kauffmann, G., White, S. D. M., & Guiderdoni, B. 1993, MNRAS, 264, 201 Google Scholar
Purcell, C. W., Bullock, J. S., & Zentner, A. R. 2007, ApJ, 666, 20–33 Google Scholar
Rodriguez-Gomez, V., et al. 2016, MNRAS, 458, 2371–2390 Google Scholar
Schaye, J., et al. 2015, MNRAS, 446, 521–554 Google Scholar
van Dokkum, P. G., Abraham, R., & Merritt, A. 2014, ApJL, 782, L24 Google Scholar
White, S. D. M. & Rees, M. J. 1978, MNRAS, 183, 341–358 Google Scholar
White, S. D. M. & Frenk, C. S. 1991, ApJ, 379, 52–79 Google Scholar