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Evolution of the velocity-dispersion function of luminous red galaxies: a hierarchical Bayesian measurement

Shu, Yiping; Bolton, Adam S.; Schlegel, David J.; Dawson, Kyle S.; Wake, David A.; Brownstein, Joel R.; Brinkmann, Jon and Weaver, Benjamin A. (2012). Evolution of the velocity-dispersion function of luminous red galaxies: a hierarchical Bayesian measurement. Astronomical Journal, 143(4), article no. 90.

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We present a hierarchical Bayesian determination of the velocity-dispersion function of approximately 430,000 massive luminous red galaxies observed at relatively low spectroscopic signal-to-noise ratio (S/N ~ 3–5 per 69 km s−1) by the Baryon Oscillation Spectroscopic Survey (BOSS) of the Sloan Digital Sky Survey III. We marginalize over spectroscopic redshift errors, and use the full velocity-dispersion likelihood function for each galaxy to make a self-consistent determination of the velocity-dispersion distribution parameters as a function of absolute magnitude and redshift, correcting as well for the effects of broadband magnitude errors on our binning. Parameterizing the distribution at each point in the luminosity–redshift plane with a log-normal form, we detect significant evolution in the width of the distribution toward higher intrinsic scatter at higher redshifts. Using a subset of deep re-observations of BOSS galaxies, we demonstrate that our distribution-parameter estimates are unbiased regardless of spectroscopic S/N. We also show through simulation that our method introduces no systematic parameter bias with redshift. We highlight the advantage of the hierarchical Bayesian method over frequentist “stacking” of spectra, and illustrate how our measured distribution parameters can be adopted as informative priors for velocity-dispersion measurements from individual noisy spectra.

Item Type: Journal Item
Copyright Holders: 2012. The American Astronomical Society
ISSN: 1538-3881
Extra Information: 11 pp.
Keywords: galaxies; evolution; kinematics; dynamics; spectroscopy
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 38294
Depositing User: Astrid Peterkin
Date Deposited: 19 Sep 2013 09:56
Last Modified: 07 Dec 2018 20:43
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