# Global properties of core-collapse supernovae in numerical simulations

Ebinger, Kevin. Global properties of core-collapse supernovae in numerical simulations. 2017, Doctoral Thesis, University of Basel, Faculty of Science.

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Official URL: http://edoc.unibas.ch/diss/DissB_12980

The main focus of this thesis lies on the PUSH method, a parametrized framework to efficiently investigate CCSNe for large samples of progenitors in spherically symmetric simulations. By investigations of CCSNe we can determine the explodability and the nucleosynthesis yields in the ejecta of the explosions obtained for the progenitors, as well as dependencies of explosion properties on the progenitor properties. Main strengths of the presented PUSH method in comparison with other artificial methods are obtaining the mass cut directly from the simulations and the PNS as well as the electron flavor neutrino luminosities are computed self-consistent at all simulation times. No changes of the involved electron neutrino and anti-neutrino cross sections are made. To achieve successful explosions in otherwise non-exploding models in spherical symmetry, we rely on the neutrino-driven mechanism. In this mechanism of CCSNe electron neutrinos and antineutrinos are able to heat matter behind the stalled shock front in the gain region sufficiently to induce a shock revival that ultimately leads to an explosion. It has been found, that for efficient heating by neutrinos behind the shock multi-dimensional effects as convection are crucial. In our simulations we tap the energy of the $\mu-$ and $\tau-$neutrino luminosities that otherwise stream out of the system and increase the effective heating by neutrinos in regions where electron flavor neutrinos heat the matter. This enables us to successfully induce physically motivated parametrized neutrino-driven CCSNe in spherically symmetric simulations with a realistic SN equation of state (EOS).