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Title: Cluster Cosmology with the Velocity Distribution Function of the HeCS-SZ Sample

Journal Article · · The Astrophysical Journal (Online)
ORCiD logo [1];  [2]; ORCiD logo [3]
  1. Harvard-Smithsonian Center for Astrophysics, Cambridge, MA (United States); Harvard Univ., Cambridge, MA (United States)
  2. Western Washington Univ., Bellingham, WA (United States)
  3. Carnegie Mellon Univ., Pittsburgh, PA (United States)

We apply the velocity distribution function (VDF) to a sample of Sunyaev–Zel'dovich (SZ)-selected clusters, and we report preliminary cosmological constraints in the $${\sigma }_{8}$$-$${{\rm{\Omega }}}_{m}$$ cosmological parameter space. The VDF is a forward-modeled test statistic that can be used to constrain cosmological models directly from galaxy cluster dynamical observations. The method was introduced in Ntampaka et al. and employs line-of-sight velocity measurements to directly constrain cosmological parameters; it is less sensitive to measurement error than a standard halo mass function approach. The method is applied to the Hectospec Survey of Sunyaev–Zeldovich-Selected Clusters sample, which is a spectroscopic follow-up of a Planck-selected sample of 83 galaxy clusters. Credible regions are calculated by comparing the VDF of the observed cluster sample to that of mock observations, yielding $${{ \mathcal S }}_{8}$$ $$\equiv \,{\sigma }_{8}{\left({{\rm{\Omega }}}_{m}/0.3\right)}^{0.25}=0.751\pm 0.037$$. These constraints are in tension with the Planck Cosmic Microwave Background TT fiducial value, which lies outside of our 95% credible region, but are in agreement with some recent analyses of large-scale structure that observe fewer massive clusters than are predicted by the Planck fiducial cosmological parameters.

Research Organization:
Carnegie Mellon Univ., Pittsburgh, PA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
SC0011114
OSTI ID:
1611605
Journal Information:
The Astrophysical Journal (Online), Vol. 880, Issue 2; ISSN 1538-4357
Publisher:
Institute of Physics (IOP)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 7 works
Citation information provided by
Web of Science

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Cited By (3)

Using X-Ray Morphological Parameters to Strengthen Galaxy Cluster Mass Estimates via Machine Learning journal October 2019
Cosmological discordances. III. More on measure properties, large-scale-structure constraints, the Hubble constant and Planck data journal December 2019
Cosmological discordances III: more on measure properties, Large-Scale-Structure constraints, the Hubble constant and Planck text January 2019

Figures / Tables (9)


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