4.7 Article

Weak lensing mass map and peak statistics in Canada-France-Hawaii Telescope Stripe 82 survey

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stu1040

关键词

gravitational lensing: weak; cosmology: theory; dark matter; large-scale structure of Universe

资金

  1. ICRA/CBPF/MCTI
  2. FINEP
  3. FAPERJ
  4. Laboratorio Interinstitucional de e-Astronomia (LIneA)
  5. Marie Curie International Incoming Fellowship within the 7th European Community Framework Programme
  6. Swiss National Science Foundation (SNSF)
  7. NSFC of China [11103011]
  8. ERC
  9. Deutsche Forschungsgemeinschaft [ER 327/3-1]
  10. Transregional Collaborative Research Centre TR 33 - 'The Dark Universe'

向作者/读者索取更多资源

We present a weak lensing mass map covering similar to 124 deg(2) of the Canada-France-Hawaii Telescope Stripe 82 Survey (CS82). We study the statistics of rare peaks in the map, including peak abundance, the peak-peak correlation functions and the tangential-shear profiles around peaks. We find that the abundance of peaks detected in CS82 is consistent with predictions from a I > cold dark matter cosmological model, once noise effects are properly included. The correlation functions of peaks with different signal-to-noise ratio (SNR) are well described by power laws, and there is a clear cross-correlation between the Sloan Digital Sky Survey III/Constant Mass galaxies and high SNR peaks. The tangential-shear profiles around peaks increase with peak SNR. We fit analytical models to the tangential-shear profiles, including a projected singular isothermal sphere (SIS) model and a projected Navarro, Frenk & White (NFW) model, plus a two-halo term. For the high SNR peaks, the SIS model is rejected at similar to 3 sigma. The NFW model plus a two-halo term gives more acceptable fits to the data. Some peaks match the positions of optically detected clusters, while others are relatively dark. Comparing dark and matched peaks, we find a difference in lensing signal of a factor of 2, suggesting that about half of the dark peaks are false detections.

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