Mathematics – Functional Analysis
Scientific paper
Jun 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aipc.1241..826d&link_type=abstract
INVISIBLE UNIVERSE: Proceedings of the Conference. AIP Conference Proceedings, Volume 1241, pp. 826-835 (2010).
Mathematics
Functional Analysis
Dark Matter, Cosmology, Radiofrequency Cosmic Radiation, Functional Analysis, Dark Matter, Particle-Theory And Field-Theory Models Of The Early Universe, Background Radiations, Functional Analysis
Scientific paper
We discuss the effect of quadratic and cubic local non-Gaussianity on the mass function and bias of dark matter halos extracted from cosmological N-body simulations. This type of non-Gaussianity induces a k-dependent bias in the large-scale clustering of rare objects. While we find that at low wavenumbers k<0.03 hMpc-1 the theory and the simulations agree well with each other for biased halos with b(M)>1.5, including a scale independent correction to the non-Gaussian bias improves the agreement on small scales where the k-dependent effect becomes rapidly negligible. Using available large-scale structure data, we obtain a limit on the size of the cubic nonlinear parameter of -3.5×105< gNL<8.2×105. Future observations shall improve this bound by 1-2 orders of magnitude.
Desjacques Vincent
Iliev Ilian T.
Seljak Uros
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