{
  "id": "astro-ph/0303472",
  "version": "v2",
  "published": "2003-03-20T17:20:32.000Z",
  "updated": "2003-12-01T13:11:59.000Z",
  "title": "Analytical Predictions for Statistics of Cosmic Shear: Tests Against Simulations",
  "authors": [
    "Patrick Valageas",
    "Andrew J. Barber",
    "Dipak Munshi"
  ],
  "comment": "14 pages, final version published in MNRAS",
  "journal": "Mon.Not.Roy.Astron.Soc. 347 (2004) 654",
  "doi": "10.1111/j.1365-2966.2004.07248.x",
  "categories": [
    "astro-ph"
  ],
  "abstract": "Weak gravitational lensing surveys are rapidly becoming important tools to probe directly the mass density fluctuations in the universe and its background dynamics. Earlier studies have shown that it is possible to model the statistics of the convergence field on small angular scales by suitably modeling the statistics of the underlying density field in the highly non-linear regime. We extend such methods to model the complete probability distribution function, PDF, of the shear as a function of smoothing angle. Our model relies on a simple hierarchical Ansatz for the behaviour of the higher-order correlations in the density field. We compare our predictions with the results of numerical simulations and find excellent agreement for different cosmological scenarios. Our method provides a new way to study the evolution of non-Gaussianity in gravitational clustering and should help to break the degeneracies in parameter estimation based on analysis of the power spectrum alone.",
  "revisions": [
    {
      "version": "v2",
      "updated": "2003-12-01T13:11:59.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "cosmic shear",
      "analytical predictions",
      "statistics",
      "simulations",
      "density field"
    ],
    "tags": [
      "journal article"
    ],
    "publication": {
      "publisher": "Wiley-Blackwell",
      "journal": "J. Finance"
    },
    "note": {
      "typesetting": "TeX",
      "pages": 14,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "inspire": 615478
    }
  }
}