Weak lensing mass reconstructions of the ESO Distant Cluster Survey

D. Clowe, P. Schneider, A. Aragón-Salamanca, M. Bremer, G. De Lucia, C. Halliday, P. Jablonka, B. Milvang-Jensen, R. Pelló, B. Poggianti, G. Rudnick, R. Saglia, L. Simard, S. White, D. Zaritsky

Research output: Contribution to journalReview articlepeer-review

72 Scopus citations


We present weak lensing mass reconstructions for the 20 high-redshift clusters in the ESO Distant Cluster Survey. The weak lensing analysis was performed on deep, 3-color optical images taken with VLT/FORS2, using a composite galaxy catalog with separate shape estimators measured in each passband. We find that the EDisCS sample is composed primarily of clusters that are less massive than those in current X-ray selected samples at similar redshifts, but that all of the fields are likely to contain massive clusters rather than superpositions of low mass groups. We find that 7 of the 20 fields have additional massive structures which are not associated with the clusters and which can affect the weak lensing mass determination. We compare the mass measurements of the remaining 13 clusters with luminosity measurements from cluster galaxies selected using photometric redshifts and find evidence of a dependence of the cluster mass-to-light ratio with redshift. Finally we determine the noise level in the shear measurements for the fields as a function of exposure time and seeing and demonstrate that future ground-based surveys which plan to perform deep optical imaging for use in weak lensing measurements must achieve point-spread functions smaller than a median of 0.″ 6 FWHM.

Original languageEnglish (US)
Pages (from-to)395-408
Number of pages14
JournalAstronomy and astrophysics
Issue number2
StatePublished - May 2006


  • Dark matter
  • Galaxies: clusters: general
  • Gravitational lensing

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science


Dive into the research topics of 'Weak lensing mass reconstructions of the ESO Distant Cluster Survey'. Together they form a unique fingerprint.

Cite this