Pseudo double-source plane lenses enable statistical strong lensing tomography that forecasts σ(w0) ~ 0.45 from the LSST 10-year photometric sample in flat w0waCDM cosmology.
Cosmological Constraints from Strong Gravitational Lensing in Galaxy Clusters
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abstract
Current efforts in observational cosmology are focused on characterizing the mass-energy content of the Universe. We present results from a geometric test based on strong lensing in galaxy clusters. Based on Hubble Space Telescope images and extensive ground-based spectroscopic follow-up of the massive galaxy cluster Abell 1689, we used a parametric model to simultaneously constrain the cluster mass distribution and dark energy equation of state. Combining our cosmological constraints with those from X-ray clusters and the Wilkinson Microwave Anisotropy Probe 5-year data gives {\Omega}m = 0.25 +/- 0.05 and wx = -0.97 +/- 0.07 which are consistent with results from other methods. Inclusion of our method with all other techniques available brings down the current 2{\sigma} contours on the dark energy equation of state parameter wx by about 30%.
fields
astro-ph.CO 3years
2026 3representative citing papers
Spatially resolved λ(r) from the mass-sheet degeneracy quantifies the radial transition in reliability between strong and weak lensing mass reconstructions of galaxy clusters.
GIGA-Lens 2.0 scales strong gravitational lens modeling across up to 128 GPU nodes and demonstrates it on 100 simulated systems plus one real DESI lens.
citing papers explorer
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Strong Lensing Tomography: Double and pseudo multi-source plane strong gravitational lensing to constrain dark energy
Pseudo double-source plane lenses enable statistical strong lensing tomography that forecasts σ(w0) ~ 0.45 from the LSST 10-year photometric sample in flat w0waCDM cosmology.
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Lambda as a Probe of Lensing Consistency
Spatially resolved λ(r) from the mass-sheet degeneracy quantifies the radial transition in reliability between strong and weak lensing mass reconstructions of galaxy clusters.
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GIGA-Lens 2.0: Strong-Lens Modeling on Multiple GPU Nodes
GIGA-Lens 2.0 scales strong gravitational lens modeling across up to 128 GPU nodes and demonstrates it on 100 simulated systems plus one real DESI lens.