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            Chapter 2 Exploring the Components of the Universe Through Higher-Order Weak Lensing Statistics Higher-Order Weak Lensing Statistics

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            Author(s)
            Dupé, François-Xavier
            Pires, Sandrine
            Starck, Jean-Luc
            Leonard, Adrienne
            Leonard, Adrienne
            Starck, Jean-Luc
            Pires, Sandrine
            Dupé, Franois-Xavier
            Collection
            European Research Council (ERC)
            Language
            English
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            Abstract
            Our current cosmological model, backed by a large body of evidence from a variety of different cosmological probes (for example, see [1, 2]), describes a Universe comprised of around 5% normal baryonic matter, 22% cold dark matter and 73% dark energy. While many cosmologists accept this so-called concordance cosmology – the ΛCDM cosmological model – as accurate, very little is known about the nature and properties of these dark components of the Universe. Studies of the cosmic microwave background (CMB), combined with other observational evidence of big bang nucleosynthesis indicate that dark matter is non-baryonic. This supports measurements on galaxy and cluster scales, which found evidence of a large proportion of dark matter. This dark matter appears to be cold and collisionless, apparent only through its gravitational effects.
            Book
            Open Questions in Cosmology
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/186729
            Keywords
            statistics; exploring; universe; statistics; exploring; universe; Algorithm; Cross-correlation matrix; Discrete wavelet transform; Higher-order statistics; Physical cosmology; Redshift; Wavelet; Weak gravitational lensing; thema EDItEUR::P Mathematics and Science::PD Science: general issues
            DOI
            10.5772/51871
            Publisher
            InTechOpen
            Publication date and place
            2012
            Grantor
            • FP7 Ideas: European Research Council
            • OAPEN harvesting collection

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            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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