Abstract
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) |
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Article number | 081301 |
Pages (from-to) | 081301-1-081301-4 |
Journal | Physical review letters |
Volume | 93 |
Issue number | 8 |
DOIs | |
State | Published - Aug 20 2004 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- General Physics and Astronomy