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Detection of weak gravitational lensing distortions of distant galaxies by cosmic dark matter at large scales

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Wittman, David M., Tyson, J. Anthony, Kirkman, David, Dell'Antonio, Ian, Bernstein, Gary·2000·Nature

Abstract

Most of the matter in the Universe is not luminous, and can be observed only through its gravitational influence on the appearance of luminous matter. Weak gravitational lensing is a technique that uses the distortions of the images of distant galaxies as a tracer of dark matter: such distortions are induced as the light passes through large-scale distributions of dark matter in the foreground. The patterns of the induced distortions reflect the density of mass along the line of sight and its distribution, and the resulting ‘cosmic shear’ can be used to distinguish between alternative cosmologies. But previous attempts to measure this effect have been inconclusive. Here we report the detection of cosmic shear on angular scales of up to half a degree using 145,000 galaxies and along three separate lines of sight. We find that the dark matter is distributed in a manner consistent with either an open universe, or a flat universe that is dominated by a cosmological constant. Our results are inconsistent with the standard cold-dark-matter model.

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Metadata

Authors
Wittman, D. M., Tyson, J. A., Kirkman, D., Dell'Antonio, I., & Bernstein, G.
Venue
Nature
Published
2000-05
Volume
405
Issue
6783
Pages
143-148
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W1976514626
Cited by
605
References
0
FWCI
37.79
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Detection of weak gravitational lensing distortions of distant galaxies by cosmic dark matter at large scales. https://app.cochat.ai/papers/10.1038/35012001
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Wittman, D. M., Tyson, J. A., Kirkman, D., Dell'Antonio, I., & Bernstein, G. (2000). Detection of weak gravitational lensing distortions of distant galaxies by cosmic dark matter at large scales. Nature. https://doi.org/10.1038/35012001

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.