Non-parametric Cosmology with Cosmic Shear
Peter L. Taylor (MSSL/UCL), Thomas D. Kitching (MSSL/UCL), Jason D., McEwen (MSSL/UCL)

TL;DR
This paper introduces a non-parametric method to measure the Universe's structure growth and geometry using cosmic shear data, avoiding assumptions about the cosmological model, and tests it on CFHTLenS data.
Contribution
It develops a novel non-parametric approach to simultaneously reconstruct key cosmological functions from shear data, enabling model-independent tests of LCDM.
Findings
Lensing constrains a single global power spectrum amplitude.
Reconstructed co-moving distance r(z) is higher than LCDM prediction below z=0.4.
Reconstruction results are consistent with LCDM at higher redshifts.
Abstract
We present a method to measure the growth of structure and the background geometry of the Universe -- with no a priori assumption about the underlying cosmological model. Using Canada-France-Hawaii Lensing Survey (CFHTLenS) shear data we simultaneously reconstruct the lensing amplitude, the linear intrinsic alignment amplitude, the redshift evolving matter power spectrum, P(k,z), and the co-moving distance, r(z). We find that lensing predominately constrains a single global power spectrum amplitude and several co-moving distance bins. Our approach can localise precise scales and redshifts where Lambda-Cold Dark Matter (LCDM) fails -- if any. We find that below z = 0.4, the measured co-moving distance r (z) is higher than that expected from the Planck LCDM cosmology by ~1.5 sigma, while at higher redshifts, our reconstruction is fully consistent. To validate our reconstruction, we…
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