Metaheuristics for Computing Cosmic Microwave Background Maps

Abstract

Temperature difierences data sets obtained from a telescope can be transformed into a Cosmic Microwave Background (CMB) map. Our formulation for addressing the CMB mapping is based on an inverse problem methodology minimizing an optimization problem. Noisy synthetic date representing the BEAST experiment 30-day mission were used to test our approach. The computed CMB maps) are similar to those obtained by the bin average method. Our approach produced better results in similar processing time.