Hostname: page-component-8448b6f56d-mp689 Total loading time: 0 Render date: 2024-04-24T18:09:00.065Z Has data issue: false hasContentIssue false

Which Galaxy Property Best Predicts Quiescence?

Published online by Cambridge University Press:  17 July 2013

Joel Leja
Affiliation:
Department of Astronomy, Yale University, New Haven, CT 06520-8101 email: joel.leja@yale.edu email: pieter.vandokkum@yale.edu
Pieter van Dokkum
Affiliation:
Department of Astronomy, Yale University, New Haven, CT 06520-8101 email: joel.leja@yale.edu email: pieter.vandokkum@yale.edu
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.

It is generally accepted that local elliptical galaxies assembled most of their mass in a burst of star formation between 1 < z < 3, yet today, their star formation has been almost entirely quenched. In order to constrain this quenching mechanism, we measure Hα line emission in galaxies sorted by multiple galaxy properties as a function of redshift to what galaxy parameter best predicts quiescence. This is done for samples of the most massive, most luminous, and galaxies with the highest velocity dispersion both locally (0.05 < z < 0.07 in the SDSS) and at high redshift (0.7 < z < 1.5 in 3D-HST). It is demonstrated through spectral stacking that velocity dispersion results in the lowest Hα line equivalent width both locally and at high redshift. The spatial distribution of the emission line flux is available from grism spectroscopy: the line flux from the high dispersion stack is centrally peaked and thus likely associated with AGN activity rather than star formation, strengthening this conclusion. Since velocity dispersion may also be the best predictor of halo mass (Wake et al. 2012), this may imply that the quenching mechanism is directly related to halo mass.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2013 

References

Wake, D. A., Franx, M., & van Dokkum, P. G. 2012, ApJ, submitted (arXiv:1201.1913)Google Scholar
Vazdekis, A., Sánchez-Blázquez, P., Falcón-Barroso, J., Cenarro, A. J., Beasley, M. A., Cardiel, N., Gorgas, J., & Peletier, R. F. 2010, MNRAS, 404, 1639Google Scholar