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Non-parametric Cosmology with Cosmic Shear
Cosmology and Nongalactic Astrophysics · Submitted 24 Oct 2018
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim 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.
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The abstract, sentence by sentence
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 compare LCDM parameter constraints from the standard cosmic shear likelihood analysis to those found by fitting to the non-parametric information and we find good agreement.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | 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. | contribution 0.99 | 0.92 | 0.08 | asserted 0.99 |
| s1 | 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). | method 0.98 | 0.95 | 0.05 | asserted 1.00 |
| s2 | We find that lensing predominately constrains a single global power spectrum amplitude and several co-moving distance bins. | result 0.93 | 0.95 | 0.25 | asserted 1.00 |
| s3 | Our approach can localise precise scales and redshifts where Lambda-Cold Dark Matter (LCDM) fails -- if any. | contribution 0.72 | 0.37 | 0.10 | hedged possibility 0.88 |
| s4 | 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. | result 1.00 | 0.97 | 0.31 | asserted 0.99 |
| s5 | To validate our reconstruction, we compare LCDM parameter constraints from the standard cosmic shear likelihood analysis to those found by fitting to the non-parametric information and we find good agreement. | result 0.63 | 0.96 | 0.10 | asserted 1.00 |
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The paper
Original 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 compare LCDM parameter constraints from the standard cosmic shear likelihood analysis to those found by fitting to the non-parametric information and we find good agreement.
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References
How the literature uses it
1 arXiv paper cite this in 1 sentence
What it cites · 5 sentences without a confident label
Compares with 1 paper
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The LCDM prediction generated with the best fit parameters from both CFHTLenS [ref] and the Planck 2018 combined analysis (including BAO) [ref] are shown for comparison.
Planck 2018 results. VI. Cosmological parameters · Adaptive Grid Reconstruction · 0.98
Cites as background 4 papers
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From the first detections of cosmic shear in 2000-2001 [ref] , studies have entered the realm of precision cosmology [ref] .
Dark Energy Survey Year 1 Results: Cosmological Constraints from Cosmic Shear · Introduction · 1.00
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From the first detections of cosmic shear in 2000-2001 [ref] , studies have entered the realm of precision cosmology [ref] .
Cosmology from cosmic shear power spectra with Subaru Hyper Suprime-Cam first-year data · Introduction · 1.00
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With the advent of Stage IV lensing experiments including Euclid[<http://euclid-ec.org>] [ref] , WFIRST[<https://www.nasa.gov/wfirst>] [ref] and LSST[<https://www.lsst.org>] [ref] , constraints on cosmological parameters will shrink by a further order of magnitude [ref] .
Euclid Imaging Consortium Science Book · Introduction · 0.83
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