Light on Dark Matter with Weak Gravitational Lensing

TL;DR

This paper reviews recent statistical methods for reconstructing dark matter maps from weak lensing data, emphasizing new sparsity-based techniques to improve cosmological constraints.

Contribution

It provides a comprehensive overview of current weak lensing analysis methods, highlighting recent advances in sparsity-based statistical estimation for dark matter mapping.

Findings

Sparsity-based methods enhance dark matter map reconstruction.

Improved constraints on cosmological models from weak lensing data.

Review of processing steps from shear estimation to cosmological inference.

Abstract

This paper reviews statistical methods recently developed to reconstruct and analyze dark matter mass maps from weak lensing observations. The field of weak lensing is motivated by the observations made in the last decades showing that the visible matter represents only about 4-5% of the Universe, the rest being dark. The Universe is now thought to be mostly composed by an invisible, pressureless matter -potentially relic from higher energy theories- called "dark matter" (20-21%) and by an even more mysterious term, described in Einstein equations as a vacuum energy density, called "dark energy" (70%). This "dark" Universe is not well described or even understood, so this point could be the next breakthrough in cosmology. Weak gravitational lensing is believed to be the most promising tool to understand the nature of dark matter and to constrain the cosmological model used to describe the Universe. Gravitational lensing is the process in which light from distant galaxies is bent by the gravity of intervening mass in the Universe as it travels towards us. This bending causes the image of background galaxies to appear slightly distorted and can be used to extract significant results for cosmology. Future weak lensing surveys are already planned in order to cover a large fraction of the sky with large accuracy. However this increased accuracy also places greater demands on the methods used to extract the available information. In this paper, we will first describe the important steps of the weak lensing processing to reconstruct the dark matter distribution from shear estimation. Then we will discuss the problem of statistical estimation in order to set constraints on the cosmological model. We review the methods which are currently used especially new methods based on sparsity.