LoCuSS: The mass density profile of massive galaxy clusters at z = 0.2

Nobuhiro Okabe, Graham P. Smith, Keiichi Umetsu, Masahiro Takada, Toshifumi Futamase

Research output: Contribution to journalArticlepeer-review

96 Citations (Scopus)

Abstract

We present a stacked weak-lensing analysis of an approximately mass-selected sample of 50 galaxy clusters at 0.15 < z < 0.3, based on observations with Suprime-Cam on the Subaru Telescope. We develop a new method for selecting lensed background galaxies from which we estimate that our sample of red background galaxies suffers just 1% contamination. We detect the stacked tangential shear signal from the full sample of 50 clusters, based on this red sample of background galaxies, at a total signal-to-noise ratio of 32.7. The Navarro-Frenk-White model is an excellent fit to the data, yielding sub-10% statistical precision on mass and concentration: , (). Tests of a range of possible systematic errors, including shear calibration and stacking-related issues, indicate that they are subdominant to the statistical errors. The concentration parameter obtained from stacking our approximately mass-selected cluster sample is broadly in line with theoretical predictions. Moreover, the uncertainty on our measurement is comparable with the differences between the different predictions in the literature. Overall, our results highlight the potential for stacked weak-lensing methods to probe the mean mass density profile of cluster-scale dark matter halos with upcoming surveys, including Hyper-Suprime-Cam, Dark Energy Survey, and KIDS.

Original languageEnglish
Article numberL35
JournalAstrophysical Journal Letters
Volume769
Issue number2
DOIs
Publication statusPublished - 2013 Jun 1

Keywords

  • cosmology: observations
  • galaxies: clusters: general
  • gravitational lensing: weak

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

Fingerprint Dive into the research topics of 'LoCuSS: The mass density profile of massive galaxy clusters at z = 0.2'. Together they form a unique fingerprint.

Cite this