Distributional methods for detecting gravitational waves from core-collapse supernovae

The goal of the project is to investigate the potential of different distributional methods in the detection of Core-Collapse supernova gravitational waves (GW) for populations of quiet signals that would have been missed with the current methods aimed at one event candidate at a time. To date, no supernova GW detections have been made. We produce the candidate events by processing laser interferometric data with a wavelet based method called coherent WaveBurst. We then pass the populations of these events to non-parametric distributional tests that leverage the distribution of these events with respect to the so-called signal to noise ratio (a measure of the energy). This approach is similar to that employed to detect the Higgs Boson in the CERN particle colliders. In this presentation, we will discuss the preliminary results of this work. This work is performed within the LIGO-Virgo-Kagra collaboration.