Danny

Theory and observation strongly favor the notion that asymmetric explosions drive core-collapse supernovae. Where and how this asymmetry is introduced is uncertain, in part because of limited constraints on various dynamical processes that may take place deep inside the star prior to and during core collapse. Fortunately, the debris fields of supernovae encode valuable information about these processes in their three-dimensional kinematics and chemical abundances. Accessing that information accurately, however, is not straightforward since observed properties may have multiple origins; e.g., asymmetries in both the explosion mechanism and/or turbulent stellar interior, and nonuniform circumstellar environments. I argue that the key to deciphering supernova debris fields is via end-to-end investigations that connect extragalactic events with young, nearby supernova remnants. This approach has the unique ability to trace the sources of mixing and clumping at large and small scales back to the time of explosion. I will emphasize how a holistic SN-SNR methodology is necessary for the next generation of three-dimensional core-collapse simulations seeking to robustly model and interpret the gravitational wave, neutrino, and EM signatures of supernovae.