Abstract
We have made a Markov Chain Monte Carlo (MCMC) analysis of primordial non-Gaussianity (fNL) using the WMAP bispectrum and power spectrum. In our analysis, we have simultaneously constrained fNL and cosmological parameters so that the uncertainties of cosmological parameters can properly propagate into the fNL estimation. Investigating the parameter likelihoods deduced from MCMC samples, we find slight deviation from Gaussian shape, which makes a Fisher matrix estimation less accurate. Therefore, we have estimated the confidence interval of fNL by exploring the parameter likelihood without using the Fisher matrix. We find that the best-fit values of our analysis make a good agreement with other results, but the confidence interval is slightly different.
| Original language | English |
|---|---|
| Journal | Journal of Cosmology and Astroparticle Physics |
| Volume | 2011 |
| Issue number | 4 |
| Pages (from-to) | 018 |
| ISSN | 1475-7516 |
| DOIs | |
| Publication status | Published - 14 Apr 2011 |