2009
DOI: 10.1051/0004-6361/200811054
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Ray-tracing through the Millennium Simulation: Born corrections and lens-lens coupling in cosmic shear and galaxy-galaxy lensing

Abstract: Context. Weak-lensing surveys need accurate theoretical predictions for interpretation of their results and cosmological-parameter estimation. Aims. We study the accuracy of various approximations to cosmic shear and weak galaxy-galaxy lensing and investigate effects of Born corrections and lens-lens coupling. Methods. We use ray-tracing through the Millennium Simulation, a large N-body simulation of cosmic structure formation, to calculate various cosmic-shear and galaxy-galaxy-lensing statistics. We compare … Show more

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Cited by 318 publications
(491 citation statements)
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References 71 publications
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“…The agreement between the Halofit predictions and simulations is within 10% for MICE-IR, and 20% for MICE-GC, down to the resolution scale of the maps used, which corresponds to a multipole = 2× Nside ∼ 16000 17 . The excess of power we find in the MICE-GC convergence maps with respect to the Halofit is in quantitative agreement with a similar analysis (although limited to a small patch of the sky) performed over the Millennium Simulation (see Fig.9 in Hilbert et al (2009)), which has more than one order of magnitude lower particle mass (i.e., ∼ 10 9 M /h).…”
Section: Convergencesupporting
confidence: 89%
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“…The agreement between the Halofit predictions and simulations is within 10% for MICE-IR, and 20% for MICE-GC, down to the resolution scale of the maps used, which corresponds to a multipole = 2× Nside ∼ 16000 17 . The excess of power we find in the MICE-GC convergence maps with respect to the Halofit is in quantitative agreement with a similar analysis (although limited to a small patch of the sky) performed over the Millennium Simulation (see Fig.9 in Hilbert et al (2009)), which has more than one order of magnitude lower particle mass (i.e., ∼ 10 9 M /h).…”
Section: Convergencesupporting
confidence: 89%
“…The Gaussian approximation is expected to be accurate on large scales and for close to all-sky surveys (see e.g., Cabré et al (2007)), but they tend to underestimate errors on small-scales, where non-linear gravitational growth induce non-Gaussian covariances through the matter trispectrum (Scoccimarro et al 1999;Cooray & Hu 2001). However projection effects inherent to lensing observables mitigate the non-Gaussian contribution relative to the corresponding term in 3D clustering statistics (Semboloni et al 2007;Takada & Jain 2009;Hilbert et al 2009). Given that we only have one single realization in our analysis, the MICE-GC run, we shall stick to the Gaussian approximation for the errors shown in this paper (unless otherwise stated) when comparing to theory predictions, although with the obvious caveat that they tend to underestimate covariances on small-scales.…”
Section: Converge Autocorrelationmentioning
confidence: 99%
“…The theoretical predictions for the underlying non-linear matter power are good only to about ∼10% on scales down to ∼ 0.1Mpc [64], which can cause an under-prediction for the convergence power spectrum as well [40,65,66]; the differences are therefore within the accuracy of the theory down to these . …”
Section: B Power Spectramentioning
confidence: 99%
“…The details of the ray-tracing analysis are given in Hilbert et al (2009). In brief, we use tilted lines-of-sight through the simulation to avoid repetition of structures along the backwards lightcone, providing us with 32 quasi-independent 4 deg ×4 deg fields, which we further subdivide into nine COSMOS-like subfields, yielding a total of 288 realizations.…”
Section: Covariance Estimationmentioning
confidence: 99%
“…We find q 0 < 0 at 96.0% confidence using our default priors, or 94.3% confidence for the weaker priors. of Heitmann et al (2010) and Hilbert et al (2009), indicating that models based on Smith et al (2003) slightly underestimate the shear signal, hence a higher σ 8 is required to fit the data. Here we use actual reduced shear estimates from the simulation, but employ shear predictions, as done for the real data (see Sect.…”
Section: Flat W Cdm Cosmologymentioning
confidence: 99%