Speaker
Leo Bianchi
(University of Oslo)
Description
The most straightforward way to construct a map from a set of time-ordered data (TOD) is through a classic inverse-variance bin mapmaker. However, certain experiments such as AKARI and Planck HFI require to take into account non-local effects, such as the bolometer transfer function or detector cross-talks. In such case, inverting the mapmaking equation analytically is not feasible and a conjugate gradient search is required for retrieving the map solution, i.e. CG mapmaking.
This talk aims to give an insight on the implementation of CG mapmaking in Commander4, in relation to AKARI TOD reanalysis.