Speaker
Description
Oscillation modes of the proto-neutron star and stalled accretion shock in core-collapse supernovae are a promising gravitational-wave source, potentially detectable at galactic distances. We present progress on a data-driven scheme to sort computed eigenmodes based on their linear similarity, requiring no prior assumptions about the physical origin of each mode. Building on our previous work, we introduce a method that automatically detects groups of related modes, removing the need to manually seed the classification with a representative mode. We discuss its performance and further refinements across simplified and increasingly realistic core-collapse scenarios. This approach is intended to complement existing classification methods and to support the use of gravitational-wave asteroseismology in constraining the properties of the newly formed compact remnant.