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Optimal cosmology from gravitational lensing: utilising the magnification and shear signals

2015
Gravitational lensing studies the distortions of a distant galaxy’s observed size, shape or flux due to the tidal bending of photons by matter between the source and observer. Such distortions can be used to infer knowledge on the mass distribution of the intervening matter, such as the dark matter halos in which clusters of individual galaxies may ...
openaire   +1 more source

Weak gravitational lensing shear estimation with metacalibration for the Roman High-Latitude Imaging Survey

Monthly Notices of the Royal Astronomical Society, 2023
Michael Troxel   +2 more
exaly  

Weak gravitational lensing in different cosmologies, using an algorithm for shear in three dimensions

Monthly Notices of the Royal Astronomical Society, 2000
Peter Thomas   +2 more
exaly  

Gravitational lensing from topological void curvature: geodesic tortuosity, cluster shear proles, and the toroidal annular ring prediction

We demonstrate that topological voids in Regge calculus produce quantitative gravita-tional lensing signals with a unique, falsifiable prediction: an annular convergence ring atthe toroidal void major radius (Rmaj ≈ 100 kpc) that no spherically symmetric dark mat-ter model can produce.
openaire   +1 more source

Weak Gravitational Lensing and Its Cosmological Applications

Annual Review of Nuclear and Particle Science, 2008
Henk Hoekstra, Bhuvnesh Jain
exaly  

KiDS-450: cosmological parameter constraints from tomographic weak gravitational lensing

Monthly Notices of the Royal Astronomical Society, 2017
Aniello Grado   +2 more
exaly  

Detection of weak gravitational lensing by large-scale structure

Monthly Notices of the Royal Astronomical Society, 2000
David Bacon
exaly  

Current status of weak gravitational lensing

New Astronomy Reviews, 2002
Henk Hoekstra
exaly  

Gravitational lensing of gravitational waves: a statistical perspective

Monthly Notices of the Royal Astronomical Society, 2018
Shude Mao, Youjun Lu
exaly  

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