Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-23T10:31:27.106Z Has data issue: false hasContentIssue false

Gas Accretion and Mergers in Massive Galaxies at z ~ 2

Published online by Cambridge University Press:  17 July 2013

C. J. Conselice
Affiliation:
University of Nottingham email: [email protected]
Jamie Ownsworth
Affiliation:
University of Nottingham email: [email protected]
Alice Mortlock
Affiliation:
University of Nottingham email: [email protected]
Asa F. L. Bluck
Affiliation:
University of Nottingham email: [email protected] University of Victoria
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.

Galaxy assembly is an unsolved problem, with ΛCDM theoretical models unable to easily account for among other things, the abundances of massive galaxies, and the observed merger history. We show here how the problem of galaxy formation can be addressed in an empirical way without recourse to models. We discuss how galaxy assembly occurs at 1.5 < z < 3 examining the role of major and minor mergers, and gas accretion from the intergalactic medium in forming massive galaxies with log M* > 11 found within the GOODS NICMOS Survey (GNS). We find that major mergers, minor mergers and gas accretion are roughly equally important in the galaxy formation process during this epoch, with 64% of the mass assembled through merging and 36% through accreted gas which is later converted to stars, while 58% of all new star formation during this epoch arises from gas accretion. We also discuss how the total gas accretion rate is measured as = 90±40 M yr−1 at this epoch, a value close to those found in some hydrodynamical simulations.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2013 

References

Bauer, A. E., et al. 2011, MNRAS, 417, 289Google Scholar
Bluck, A., et al. 2009, MNRAS (Letters), 394, 51LGoogle Scholar
Bluck, A., et al. 2012, MNRAS, 747, 34Google Scholar
Conselice, C. J., Bershady, M. A., Dickinson, M., & Papovich, C. 2003, AJ, 126, 1183Google Scholar
Conselice, C. J., et al. 2007, MNRAS, 381, 962CrossRefGoogle Scholar
Conselice, C. J., et al. 2011, MNRAS, 413, 80Google Scholar
Conselice, C. J., et al. 2013, MNRAS, 430, 1051Google Scholar
Dekel, A., et al. 2009, Nature, 457, 451Google Scholar
Faucher-Giguere, C.-A., Keres, D., & Ma, C.-P. 2011, MNRAS, 417, 2982Google Scholar
Guo, Q., et al. 2011, MNRAS, 413, 101Google Scholar
Marchesini, D., et al. 2010, ApJ, 725, 1277Google Scholar
Mortlock, A., et al. 2011, MNRAS, 413, 2845Google Scholar
Ownsworth, J. R., et al. 2012, MNRAS, 426, 764Google Scholar
Papovich, C., et al. 2011, MNRAS, 412, 1123Google Scholar
Weiner, B., et al. 2009, ApJ, 692, 187Google Scholar