Cosmology with stacked cluster weak lensing and cluster-galaxy cross-correlations

Andres N. Salcedo, Benjamin D. Wibking, David H. Weinberg, Hao Yi Wu, Douglas Ferrer, Daniel Eisenstein, Philip Pinto

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


Cluster weak lensing is a sensitive probe of cosmology, particularly the amplitude of matter clustering σ8 and matter density parameterΩm. The main nuisance parameter in a cluster weak lensing cosmological analysis is the scatter between the true halo mass and the relevant cluster observable, denoted σlnMc . We show that combining the cluster weak lensing observable ΔΣ with the projected cluster-galaxy cross-correlation function wp,cg and galaxy autocorrelation function wp,gg can break the degeneracy between σ8 and σlnMc to achieve tight, per cent-level constraints on σ8. Using a grid of cosmological N-body simulations, we compute derivatives of ΔΣ, wp,cg, and wp,gg with respect to σ8, Ωm, σlnMc , and halo occupation distribution (HOD) parameters describing the galaxy population.We also compute covariance matrices motivated by the properties of the Dark Energy Survey cluster and weak lensing survey and the BOSS CMASS galaxy redshift survey. For our fiducial scenario combining ΔΣ, wp,cg, and wp,gg measured over 0.3-30.0 h-1 Mpc, for clusters at z = 0.35-0.55 above a mass threshold Mc ≈ 2 × 1014 h-1M⊙, we forecast a 1.4 per cent constraint on σ8 while marginalizing over σlnMc and all HOD parameters. Reducing the mass threshold to 1 × 1014 h-1M⊙ and adding a z = 0.15-0.35 redshift bin sharpens this constraint to 0.8 per cent. The small-scale (rp < 3.0 h-1 Mpc) 'mass function' and large-scale (rp >3.0 h-1 Mpc) 'halo-mass cross-correlation' regimes of ΔΣ have comparable constraining power, allowing internal consistency tests from such an analysis.

Original languageEnglish (US)
Pages (from-to)3061-3081
Number of pages21
JournalMonthly Notices of the Royal Astronomical Society
Issue number3
StatePublished - 2020


  • Cosmology: Theory
  • Dark matter
  • Methods: numerical

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science


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