1. Lensing is low: cosmology, galaxy formation or new physics?
- Author
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Leauthaud, Alexie, Shun Saito, Hilbert, Stefan, Barreira, Alexandre, More, Surhud, White, Martin, Alam, Shadab, Behroozi, Peter, Bundy, Kevin, Coupon, Jean, Erben, Thomas, Heymans, Catherine, Hildebrandt, Hendrik, Mandelbaum, Rachel, Miller, Lance, Moraes, Bruno, Pereira, Maria E. S., Rodríguez-Torres, Sergio A., Schmidt, Fabian, and Huan-Yuan Shan
- Subjects
GALAXY formation ,BARYONS ,METAPHYSICAL cosmology ,GRAVITATIONAL lenses ,STELLAR mass - Abstract
We present high signal-to-noise galaxy-galaxy lensing measurements of the Baryon Oscillation Spectroscopic Survey constant mass (CMASS) sample using 250 deg² of weak-lensing data from Canada-France-Hawaii Telescope Lensing Survey and Canada-France-Hawaii Telescope Stripe 82 Survey. We compare this signal with predictions from mock catalogues trained to match observables including the stellar mass function and the projected and two-dimensional clustering of CMASS. We show that the clustering of CMASS, together with standard models of the galaxy-halo connection, robustly predicts a lensing signal that is 20-40 per cent larger than observed. Detailed tests show that our results are robust to a variety of systematic effects. Lowering the value of S
8 = σ8 √Ωm /0.3 compared to Planck Collaboration XIII reconciles the lensing with clustering. However, given the scale of our measurement (r < 10 h-1 Mpc), other effects may also be at play and need to be taken into consideration. We explore the impact of baryon physics, assembly bias, massive neutrinos and modifications to general relativity on ΔΣ and show that several of these effects may be non-negligible given the precision of our measurement. Disentangling cosmological effects from the details of the galaxy-halo connection, the effect of baryons, and massive neutrinos, is the next challenge facing joint lensing and clustering analyses. This is especially true in the context of large galaxy samples from Baryon Acoustic Oscillation surveys with precise measurements but complex selection functions. [ABSTRACT FROM AUTHOR]- Published
- 2017
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