Making CMB temperature and polarization maps with Madam

TL;DR

Madam is an advanced CMB map-making tool that employs destriping with noise priors, now extended to handle non-averaged data and polarization, improving map accuracy for experiments like Planck.

Contribution

The paper introduces an updated version of Madam that processes non-averaged data and includes polarization, with flexible baseline length and resolution options.

Findings

Effective destriping of simulated data demonstrated

Inclusion of polarization improves map fidelity

Flexible baseline length enhances map quality

Abstract

Madam is a CMB map-making code, designed to make temperature and polarization maps of time-ordered data of total power experiments like Planck. The algorithm is based on the destriping technique, but it also makes use of known noise properties in the form of a noise prior. The method in its early form was presented in an earlier work by Keihanen et al. (2005). In this paper we present an update of the method, extended to non-averaged data, and include polarization. In this method the baseline length is a freely adjustable parameter, and destriping can be performed at a different map resolution than that of the final maps. We show results obtained with simulated data. This study is related to Planck LFI activities.