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Fig. 6.


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.

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