Pacman (I): A new Algorithm to calculate Faraday Rotation Maps

Abstract

We propose a new method to calculate Faraday rotation measure maps from multi-frequency polarisation angle data. In order to solve the so called n-pi ambiguity problem which arises from the observationally ambiguity of the polarisation angle which is only determined up to additions of +-n*pi, where n is an integer, we suggest using a global scheme. Instead of solving the n-pi ambiguity for each data point independently, our algorithm, which we chose to call "Pacman" (Polarisation Angle Correcting rotation Measure ANalysis), solves the n-pi ambiguity for a high signal-to-noise region ``democratically'' and uses this information to assist computations in adjacent low signal-to-noise areas.