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Non-Gaussianity.pdf

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Preview of Non-Gaussianity
🔗 Source: cea.hal.science
📊 Size: 1.68 MB
👤 Author: C. Uhlemann, E. Pajer, C. Pichon, T. Nishimichi, S. Codis, F. Bernardeau
⬇️ Downloads: 86

Summary

Researchers use large deviation statistics with spherical collapse dynamics to disentangle non-Gaussianities of dynamical origin from primordial ones, relying on accurate analytical predictions for the one-point probability distribution function and the two-point clustering of spherically averaged cosmic densities. The statistics of densities in spheres are built to model primordial non-Gaussianity, and analytical formulas are successfully tested against numerical simulations for local non-Gaussianity with a range from fNL = −100 to +100. The validity of the large deviation statistics formalism is established for all observationally relevant local-type departures from perfectly Gaussian initial conditions.

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Description

Researchers use large deviation statistics with spherical collapse dynamics to disentangle non-Gaussianities of dynamical origin from primordial ones, relying...

Technical Information

  • File Format: PDF
  • File Size: 1.68 MB
  • Pages: 19
  • Language: EN
  • Author: C. Uhlemann, E. Pajer, C. Pichon, T. Nishimichi, S. Codis, F. Bernardeau
  • Total Downloads: 86
  • Last Updated: 1 week ago

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