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相关论文: Constraining $(\Omega,\Lambda)$ from weak lensing …

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We use three strong lensing clusters to constrain the cosmological parameters Omega_m and Omega_lambda. Recent HST observations of galaxy clusters reveal a large number of multiple images, which are predicted to be at different redshifts.…

天体物理学 · 物理学 2007-05-23 G. Golse , J. -P. Kneib , G. Soucail

We investigate the potentiality of using strong lensing clusters to constrain the cosmological parameters Omega_m and Omega_lambda. The existence of a multiple image system with known redshift allows, for a given (Omega_m, Omega_lambda)…

天体物理学 · 物理学 2009-11-06 G. Golse , J. -P. Kneib , G. Soucail

The morphology of galaxy clusters reflects the epoch at which they formed and hence depends on the value of the mean cosmological density, Omega. Recent studies have shown that the distribution of dark matter in clusters can be mapped from…

天体物理学 · 物理学 2015-06-24 Gillian Wilson , Shaun Cole , Carlos S. Frenk

The clustering of galaxy clusters is a powerful cosmological tool, which can help to break degeneracies between parameters when combined with other cosmological observables. We aim to demonstrate its potential in constraining cosmological…

宇宙学与河外天体物理 · 物理学 2024-02-16 Alessandra Fumagalli , Matteo Costanzi , Alexandro Saro , Tiago Castro , Stefano Borgani

Gravitational lensing can provide pure geometric tests of the structure of space-time, for instance by determining empirically the angular diameter distance-redshift relation. This geometric test has been demonstrated several times using…

We use a strong lensing inversion in the cluster of galaxies AC 114 to derive constraints on the cosmological parameters Omega_M0 and Omega_Lambda. If it is possible to measure spectroscopically the redshifts of many multiple images then…

天体物理学 · 物理学 2007-05-23 G. Golse , J. -P. Kneib , G. Soucail

Selected results on estimating cosmological parameters from simulated weak lensing data with noise are presented. Numerical simulations of ray tracing through N-body simulations have been used to generate shear and convergence maps due to…

天体物理学 · 物理学 2007-05-23 Bhuvnesh Jain , Uros Seljak , Simon White

The knowledge of the redshift of multiple images in cluster-lenses allows to determine precisely the total projected mass within the Einstein radius. The observation of various multiple images in a same cluster is opening new possibilities…

天体物理学 · 物理学 2007-05-23 G. Golse , J. -P. Kneib , G. Soucail

We explore three different methods based on weak lensing to extract cosmological constraints from the large-scale structure. In the first approach (method I), small-scale galaxy lensing measurements of their halo mass provide a constraint…

宇宙学与河外天体物理 · 物理学 2015-06-05 Jaiyul Yoo , Uros Seljak

The possibility of detecting weak lensing effects from deep wide field imaging surveys has open new means of probing the large-scale structures of the Universe and measuring cosmological parameters. In this paper we present a systematic…

天体物理学 · 物理学 2010-04-06 F. Bernardeau , L. van Waerbeke , Y. Mellier

Galaxy clusters provide a unique probe of the late-time cosmic structure and serve as a powerful independent test of the $\Lambda$CDM model. This work presents the first set of cosmological constraints derived with ~16,000 optically…

Weak gravitational lensing is an important tool to estimate the masses of galaxy clusters, as it allows us to directly access their projected surface mass density along the line-of-sight (LOS) in a manner largely independent of their…

宇宙学与河外天体物理 · 物理学 2023-10-13 Constantin Payerne , Corentin Hanser , Calum Murray , Nathan Amouroux , Céline Combet

Cluster strong lensing cosmography is a promising probe of the background geometry of the Universe and several studies have emerged, thanks to the increased quality of observations using space and ground-based telescopes. For the first…

宇宙学与河外天体物理 · 物理学 2022-01-19 G. B. Caminha , S. H. Suyu , C. Grillo , P. Rosati

The knowledge of the redshift of multiple images in cluster-lenses allows to determine precisely the total projected mass within the Einstein radius. The observation of various multiple images in a same cluster is opening new possibilities…

天体物理学 · 物理学 2007-05-23 G. Golse , J. -P. Kneib , G. Soucail

We have identified seven (field) elliptical galaxies acting as strong gravitational lenses and have used them to measure cosmological parameters. To find the most likely value for Omega_m (= Omega_matter) and Lambda, we have used the…

天体物理学 · 物理学 2009-10-28 Myungshin Im , Richard E. Griffiths , Kavan U. Ratnatunga

We investigate how observations of strong lensing can be used to infer cosmological parameters, in particular the equation of state of dark energy. We focus on the growth of the critical lines of lensing clusters with the source redshift as…

宇宙学与河外天体物理 · 物理学 2012-04-03 Britta Zieser , Matthias Bartelmann

Recently, it has been shown that it is possible to reconstruct the projected mass distribution of a cluster from weak lensing provided that both the geometry of the universe and the probability distribution of galaxy redshifts are known;…

天体物理学 · 物理学 2007-05-23 Marco Lombardi , Giuseppe Bertin

Galaxy clusters have their unique advantages for cosmology. Here we collect a new sample of 10 lensing galaxy clusters with X-ray observations to constrain cosmological parameters.The redshifts of lensing clusters lie between 0.1 and 0.6,…

宇宙学与河外天体物理 · 物理学 2015-05-20 Heng Yu , Zong-Hong Zhu

We propose to use a simple observable, the fractional area of "hot spots" in weak gravitational lensing mass maps which are detected with high significance, to determine background cosmological parameters. Because these high-convergence…

天体物理学 · 物理学 2011-02-11 Sheng Wang , Zoltán Haiman , Morgan May

Strong gravitational lensing along with the distance sum rule method can constrain both cosmological parameters as well as density profiles of galaxies without assuming any fiducial cosmological model. To constrain galaxy parameters and…

宇宙学与河外天体物理 · 物理学 2021-05-17 Darshan Kumar , Deepak Jain , Shobhit Mahajan , Amitabha Mukherjee , Nisha Rani
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