4.7 Article

A nulling strategy for modelling lensing convergence in cones with large deviation theory

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 492, Issue 3, Pages 3420-3439

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/staa053

Keywords

gravitational lensing: weak; methods: analytical; methods: numerical; large-scale structure of Universe; cosmology: theory

Funding

  1. SPHERES grant of the French Agence Nationale de la Recherche [ANR-18CE31-0009]
  2. Fondation MERAC
  3. CNES
  4. STFC [RG84196]

Ask authors/readers for more resources

The distribution of the cosmic convergence field is modelled using a large deviation principle where all non-Gaussian contributions are computed from first principles. The geometry of the past light-cone is accounted for by constructing the total weak-lensing signal from contributions of the matter density in thin disc slices. The prediction of this model is successfully tested against numerical simulation with ray-tracing, and found to be accurate within at least 5 per cent in the tails at redshift 1 and opening angle of 10 arcmin and even more so with increasing source redshift and opening angle. An accurate analytical approximation to the theory is also provided for practical implementation, The lensing kernel that mixes physical scales along the line of sight tends to reduce the domain of validity of this theoretical approach compared to the three-dimensional case of cosmic densities in spherical cells, This effect is shown to be avoidable if a nulling procedure is implemented in order to localize the lensing line-of-sight integrations in a tomographic analysis. Accuracy in die tails is thus achieved within a percent. for source redshifts between 0,5 and 1.5 and an opening angle of 10 arcmin. Applications to future weak-lensing surveys like Euclid and the specific issue of shape noise are discussed.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available