Determining the core-collapse supernova explosion mechanism with current and future gravitational-wave observatories

Gravitational waves are emitted from deep within a core -collapse supernova, which may enable us to determine the mechanism of the explosion from a gravitational -wave detection. Previous studies suggested that it is possible to determine if the explosion mechanism is neutrino -driven or magneto -rotationally powered from the gravitational -wave signal. However, long duration magneto -rotational waveforms, that cover the full explosion phase, were not available during the time of previous studies, and explosions were just assumed to be magneto -rotationally driven if the model was rapidly rotating. Therefore, we perform an updated study using new 3D long -duration magneto -rotational core -collapse supernova waveforms that cover the full explosion phase, injected into noise for the Advanced LIGO, Einstein Telescope and NEMO gravitational -wave detectors. We also include a category for failed explosions in our signal classification results. We then determine the explosion mechanism of the signals using three different methods: Bayesian model selection, dictionary learning, and convolutional neural networks. The three different methods are able to distinguish between neutrino -driven explosions and magneto -rotational explosions, even if the neutrino -driven explosion model is rapidly rotating. However they can only distinguish between the nonexploding and neutrino -driven explosions for signals with a high signal to noise ratio.