Free Access

Fig. 6.

image

ROC curves showing the performance of networks that are trained on one local standard of rest (LSR) of m12i and applied to a different LSR of m12i. The networks are trained and tested on the subset of stars that have small parallax errors, and only use 5D kinematics as inputs. The orange line shows the result of training and testing on the same LSR; this provides a benchmark for the best that the network can do. In cases where the network is trained on a different LSR than which it is tested, the performance is not dramatically worsened. This suggests that the network is learning gross features that distinguish accreted from in situ stars, rather than detailed features of a specific galaxy.

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.