Core-Collapse Supernovae: Multi-messenger Data Analysis Search

Anno
2020
Proponente Irene Di Palma - Professore Associato
Sottosettore ERC del proponente del progetto
PE9_10
Componenti gruppo di ricerca
Componente Qualifica Struttura Categoria
Angela Zegarelli Dottoranda Physics Department, University Tor Vergata Altro personale aggregato Sapienza o esterni, titolari di borse di studio di ricerca
Silvia Celli Titolare di assegno di ricerca INFN Roma Altro personale aggregato Sapienza o esterni, titolari di borse di studio di ricerca
Abstract

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 agents for powering the supernova outburst. We expect the next generation of neutrino telescopes (KM3NeT, Icecube-Gen2, HyperKamiokande) to 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 we 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 we can classify signal from noise and identify the signal more efficiently with the aim to increase the detectability distance of such type of source.

ERC
PE9_10, PE9_13
Keywords:
FISICA ASTROPARTICELLARE, ONDE GRAVITAZIONALI, FISICA DEI NEUTRINI

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