Pattern recognition and search for Core-Collapse Supernovae.

The Laser Interferometer Gravitational-Wave Observatory (LIGO) advanced generation detectors started operation in September 2015 with the discovery of Gravitational Waves (GW) from merging black holes. Core-Collapse Supernovae (CCSNe) are spectacular explosions of massive stars and they are one of the most interesting potential sources of GW. The dominant emission process remains unknown, but some of the predicted models have robust features that I will describe in my presentation. They can be used to differentiate GW signals from noise. Extreme emission model waveforms such as Piro and Pfahl 2007 or neutrino driven model such as Yakunin et al 2015 show characteristic trends in time-frequency maps. It is well known in gravitational wave data analysis that we can improve detection and reconstruction of GW signals by using priors (constrained likelihood analysis), like for example on the signal time-frequency evolution. In this presentation we discuss how time-frequency patterns priors can be used to improve the detection efficiency of the coherent Waveburst algorithm for the families of waveforms introduced above.