  Core-collapse supernova explosions play a wide role in astrophysics by
producing compact remnants (neutron stars, black holes) and the synthesis and
injection of many heavy elements into their host Galaxy. Because they are
produced in some of the most extreme conditions in the universe, they can also
probe physics in extreme conditions (matter at nuclear densities and extreme
temperatures and magnetic fields). To quantify the impact of supernovae on both
fundamental physics and our understanding of the Universe, we must leverage a
broad set of observables of this engine. In this paper, we study a subset of
these probes using a suite of 1-dimensional, parameterized mixing models:
ejecta remnants from supernovae, ultraviolet, optical and infra-red
lightcurves, and transient gamma-ray emission. We review the other diagnostics
and show how the different probes tie together to provide a more clear picture
of the supernova engine.
