Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-23T04:09:08.226Z Has data issue: false hasContentIssue false
  • English
  • Français

Probing masses of SZ-detected clusters using clustering signatures

Published online by Cambridge University Press:  27 October 2016

Israel R. Tshililo ,
Catherine Cress  and
Sean February
Israel R. Tshililo
Affiliation:
Centre for High Performance Computing, CSIR, 15 Lower Hope Rd, Cape Town, 7700 email: [email protected]
Catherine Cress
Affiliation:
Centre for High Performance Computing, CSIR, 15 Lower Hope Rd, Cape Town, 7700 email: [email protected] Dept. of Physics, University of the Western Cape, Bellville 7535, South Africa
Sean February
Affiliation:
Centre for High Performance Computing, CSIR, 15 Lower Hope Rd, Cape Town, 7700 email: [email protected]
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.

We investigate the clustering of clusters detected by Planck via the Sunyaev-Zeldovich (SZ) effect. The bias (the offset of the clustering relative to what is expected for dark matter) is then used to estimate the average mass of clusters in the sample, using mass-bias relations found in simulations. We also compare the clustering of Planck clusters with those detected in the Sloan Digital Sky Survey (SDSS) using the GMBCG method. Our results indicate that Planck clusters have a higher average mass than that inferred from their SZ signatures.

Keywords

clusteringbiascorrelationetc
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 11 , General Assembly A29B: Astronomy in Focus , August 2015 , pp. 56
Copyright
Copyright © International Astronomical Union 2016 

References

Planck Collaboration XXIV 2015, arXiv:1502.01597Google Scholar
Seljak, U. & Warren, M. 2004, MNRAS 355, 129 Google Scholar
Sereno, et al. 2015, MNRAS 449, 4147 Google Scholar