Fig. A.1.

Change in the effective number density of the MICE2 cosmic shear sample , caused by the choice of SOM construction parameters and training samples. Each panel shows one tomographic bin from a single realisation of the MICE2 mock KiDS dataset. We separate, in particular, five option selections that cause the most significant change to the observed representation in the SOMs: three different sets of training inputs, and three different spectroscopic dataset constructions. The legend indicates the spectroscopic samples used (KV450-like fiducial setup, without DEEP2, and using a perfect sampling of the photometric data) and/or the input training data (#colours:#magnitudes). The remaining 16 SOM constructions within each of these subsets are shown as the variously coloured histograms. We can see that the construction of the SOM induces a ∼percent level uncertainty on the representation fraction
; the results presented throughout the paper are therefore robust to the construction of our SOM.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.