Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters

By T. McClintock, T. Varga, Daniel Gruen, E. Rozo, Eli S. Rykoff, T. Shin, Peter Melchior, J. DeRose, Stella Seitz, J. Dietrich and 92 more. Monthly notices of the Royal Astronomical Society, 2018

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We constrain the mass--richness scaling relation of redMaPPer galaxy clusters identified in the Dark Energy Survey Year 1 data using weak gravitational lensing. We split clusters into 4×3 bins of richness λ and redshift z for λ≥20 and 0.2≤z≤0.65 and measure the mean masses of these bins using their stacked weak lensing signal. By modeling the scaling relation as ⟨M 200m |λ,z⟩=M 0 (λ/40) F ((1+z)/1.35) G , we constrain the normalization of the scaling relation at the 5.0 per cent level as M 0 =[3.081±0.075(stat)±0.133(sys)]⋅10 14 M ⊙ at λ=40 and z=0.35 . The richness scaling index is constrained to be F=1.356±0.051 (stat)±0.008 (sys) and the redshift scaling index G=−0.30±0.30 (stat)±0.06 (sys) . These are the tightest measurements of the normalization and richness scaling index made to date. We use a semi-analytic covariance matrix to characterize the statistical errors in the recovered weak lensing profiles. Our analysis accounts for the following sources of systematic error: shear and photometric redshift errors, cluster miscentering, cluster member dilution of the source sample, systematic uncertainties in the modeling of the halo--mass correlation function, halo triaxiality, and projection effects. We discuss prospects for reducing this systematic error budget, which dominates the uncertainty on M 0. Our result is in excellent agreement with, but has significantly smaller uncertainties than, previous measurements in the literature, and augurs well for the power of the DES cluster survey as a tool for precision cosmology and upcoming galaxy surveys such as LSST, Euclid and WFIRST.

Subfields: Astronomy and Astrophysics

View Paper: https://www.semanticscholar.org/paper/164afb27168262a4f5db687c7504771306fe915b

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In Astronomy and Astrophysics

  1. Andrey V. Kravtsov
  2. M. Ishak
  3. Daniel J. Eisenstein
  4. L. Hernquist
  5. Rachel Mandelbaum
  6. E. Rozo
  7. Uros Seljak
  8. M. Oguri

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