Probing cosmological parameters with the CMB: forecasts from Monte Carlo simulations

By L. Perotto, Julien Lesgourgues, S. Hannestad, H. Tu, Y. Wong. 2006

215 citations recorded by the source corpus.

The Fisher matrix formalism has in recent times become the standard method for predicting the precision with which various cosmological parameters can be extracted from future data. This approach is fast and generally returns accurate estimates for the parameter errors when the individual parameter likelihoods approximate a Gaussian distribution. However, where Gaussianity is not respected (due, for instance, to strong parameter degeneracies), the Fisher matrix formalism loses its reliability. In this paper, we compare the results of the Fisher matrix approach with those from Monte Carlo simulations. The latter method is based on the publicly available CosmoMC code, but uses synthetic realizations of data sets anticipated for future experiments. We focus on prospective cosmic microwave background (CMB) data from the Planck satellite, with or without CMB lensing information, and its implications for a minimal cosmological scenario with eight parameters and an extended model with eleven parameters. We show that in many cases, the projected sensitivities from the Fisher matrix and the Monte Carlo methods differ significantly, particularly for models with many parameters. Sensitivities to the neutrino mass and the dark matter fraction are especially susceptible to change.

Subfields: Astronomy and Astrophysics, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/e7f30662b5fcc29bf4b177a2ee1aa4ba4da1a9ec

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

  1. D. Baumann
  2. D. Green
  3. Julien Lesgourgues
  4. L. Verde
  5. M. Liguori
  6. Y. Wong
  7. S. Hannestad
  8. J. Fergusson

In Nuclear and High Energy Physics

  1. S. Hannestad
  2. Julien Lesgourgues
  3. S. Pastor
  4. Y. Wong
  5. D. Baumann
  6. D. Green
  7. I. Tamborra
  8. T. Tram

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