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Velocity Segregation and Systematic Biases In Velocity Dispersion Estimates with the SPT-GMOS Spectroscopic Survey

Authors :
Christopher W. Stubbs
Matthew B. Bayliss
I-Non Chiu
A. Saro
R. Capasso
Mark Brodwin
Antony A. Stark
Jonathan Ruel
David Rapetti
Bradford Benson
Esra Bulbul
Michael McDonald
Kyle Zengo
Alfredo Zenteno
Sebastian Bocquet
Veronica Strazzullo
B. Stalder
Lindsey Bleem
Bayliss Matthew, B
Zengo, Kyle
Ruel, Jonathan
Benson Bradford, A
Bleem Lindsey, E
Bocquet, Sebastian
Bulbul, Esra
Brodwin, Mark
Capasso, Raffaella
Chiu, Inon
Mcdonald, Michael
Rapetti, David
Saro, A
Stalder, Brian
Stark Antony, A
Strazzullo, V
Stubbs Christopher, W
Zenteno, Alfredo
Publication Year :
2017

Abstract

The velocity distribution of galaxies in clusters is not universal; rather, galaxies are segregated according to their spectral type and relative luminosity. We examine the velocity distributions of different populations of galaxies within 89 Sunyaev Zel'dovich (SZ) selected galaxy clusters spanning $ 0.28 < z < 1.08$. Our sample is primarily draw from the SPT-GMOS spectroscopic survey, supplemented by additional published spectroscopy, resulting in a final spectroscopic sample of 4148 galaxy spectra---2868 cluster members. The velocity dispersion of star-forming cluster galaxies is $17\pm4$% greater than that of passive cluster galaxies, and the velocity dispersion of bright ($m < m^{*}-0.5$) cluster galaxies is $11\pm4$% lower than the velocity dispersion of our total member population. We find good agreement with simulations regarding the shape of the relationship between the measured velocity dispersion and the fraction of passive vs. star-forming galaxies used to measure it, but we find a small offset between this relationship as measured in data and simulations in which suggests that our dispersions are systematically low by as much as 3\% relative to simulations. We argue that this offset could be interpreted as a measurement of the effective velocity bias that describes the ratio of our observed velocity dispersions and the intrinsic velocity dispersion of dark matter particles in a published simulation result. Measuring velocity bias in this way suggests that large spectroscopic surveys can improve dispersion-based mass-observable scaling relations for cosmology even in the face of velocity biases, by quantifying and ultimately calibrating them out.<br />Accepted to ApJ; 21 pages, 11 figures, 5 tables

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....3f0e5a19bbb49e0a333cd2185ab08184