seminario Dr.ssa Irene Di Palma, vincitrice procedura valutativa ex. art.24 c.5 L.240/2010 (tenure track) Title: Core-Collapse Supernovae: Multimessenger data analysis search
Dr.ssa Irene Di Palma,
vincitrice procedura valutativa ex. art.24 c.5 L.240/2010 (tenure track)
Title: Core-Collapse Supernovae: Multimessenger data analysis search
Core collapse supernovae are among the most energetic explosions in the modern Universe and one of the long-standing riddles of stellar astrophysics. According to the standard paradigm of the neutrino-driven mechanism of such explosion, the energy transfer by the intense neutrino flux can be the decisive agent for powering the supernova outburst. The next generation of neutrino telescopes (KM3NeT, Icecube-Gen2, HyperKamiokande) would be able to discriminate the core collapse supernova signal from the noise with high accuracy. The collapse of the iron core of a massive star is expected to produce also gravitational waves in addition to neutrinos. While neutrinos carry information about the mode amplitude in the outer region of the core, gravitational waves probe deeper in. To enhance the detection efficiency of core collapse supernova signals I will present a novel multi-messenger method that takes advantage of the information coming from the neutrino signal and try to extract evidence for core collapse supernova simulated features embedded in Gaussian noise with spectral behaviour of the gravitational wave detectors (Advanced LIGO and Virgo). Using this new approach it is possible to classify signal from noise and identify the signal more efficiently with the aim to increase the detectability distance of such type of source.