Large-Scale Power Spectrum from Peculiar Velocities via Likelihood Analysis

摘要

The power spectrum (PS) of mass density fluctuations, independent of biasing, is estimated from the Mark ⅡI catalog of peculiar velocities using Bayesian statistics. A parametric model is assumed for the PS, and the free parameters are determined by maximizing the probability of the model given the data. The method has been tested using detailed mock catalogs. It has been applied to generalized CDM models with and without COBE normalization.