In this talk, I will present Cosmoglobe, a Bayesian cosmological end-to-end data
analysis framework, and the efforts currently underway to re-analyse the AKARI FIS
data. I will start by giving a general introduction to the rationale behind Cosmoglobe
and the philosophy underlying its development: First, that the astrophysical sky and the
experiment we use to observe that sky should be analyzed jointly, rather than as
separate parts of the data pipeline; second, that analyzing multiple experiments jointly
allows us to more powerfully characterize both the sky and the experiment than classical
single-experiment data pipelines. I will then present some of the past re-analyses - of
Planck LFI, WMAP and DIRBE data - that have been carried out by the Cosmoglobe team,
highlighting the power of this framework. Finally, I will present the AKARI experiment
re-analysis currently being carried out with the Cosmoglobe framework, which promises to
bring great improvements to our understanding of the far-infrared sky, in particular
zodiacal light, dust emission and the CIB. I will show the current progress of this
effort, including sky maps, noise characterization, dust modelling and detector response
estimation.