Various constraints on correlated mixtures of adiabatic and nonadiabatic primordial perturbations, were investigated. Flat directions in parameter space which tolerate large fractions of nonadiabatic fluctuations were discovered. A Markov Chain Monte Carlo method was employed to sample parameter space, using Metropolis algorithm. The posterior distribution was sampled quickly and accurately with an efficient distribution using a scaled covariance matrix of the posterior.
|Original language||English (US)|
|Journal||Physical review letters|
|State||Published - Aug 20 2004|
All Science Journal Classification (ASJC) codes
- Physics and Astronomy(all)