Journal
ASTROPHYSICAL JOURNAL LETTERS
Volume 701, Issue 2, Pages L114-L118Publisher
IOP PUBLISHING LTD
DOI: 10.1088/0004-637X/701/2/L114
Keywords
cosmology: observations; galaxies: clusters: general; gravitational lensing
Categories
Funding
- Royal Society
- STFC
- James S. McDonnell Foundation
- National Science Foundation
- University of Chicago
- NSF Division of Astronomical Sciences [AST-0604982]
- NSF Physics Frontier Center [PHY-0114422]
- NSF [AST-0507545, AST-05-07161]
- Science and Technology Facilities Council [PP/E001203/1] Funding Source: researchfish
- STFC [PP/E001203/1] Funding Source: UKRI
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We present the first measurement of the relationship between the Sunyaev-Zel'dovich effect (SZE) signal and the mass of galaxy clusters that uses gravitational lensing to measure cluster mass, based on 14 X-ray luminous clusters at z similar or equal to 0.2 from the Local Cluster Substructure Survey. We measure the integrated Compton y-parameter, Y, and total projected mass of the clusters (M(GL)) within a projected clustercentric radius of 350 kpc, corresponding to mean overdensities of 4000-8000 relative to the critical density. We find self-similar scaling between M(GL) and Y, with a scatter in mass at fixed Y of 32%. This scatter exceeds that predicted from numerical cluster simulations, however, it is smaller than comparable measurements of the scatter in mass at fixed T(X). We also find no evidence of segregation in Y between disturbed and undisturbed clusters, as had been seen with T(X) on the same physical scales. We compare our scaling relation to the Bonamente et al. relation based on mass measurements that assume hydrostatic equilibrium, finding no evidence for a hydrostatic mass bias in cluster cores (M(GL) = 0.98 +/- 0.13 M(HSE)), consistent with both predictions from numerical simulations and lensing/X-ray-based measurements of mass-observable scaling relations at larger radii. Overall our results suggest that the SZE may be less sensitive than X-ray observations to the details of cluster physics in cluster cores.
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