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- W3100515907 abstract "Supernova neutrinos are crucially important to probe the final phases of massive star evolution. As is well known from observations of SN1987A, neutrinos provide information on the physical conditions responsible for neutron star formation and on the supernova explosion mechanism. However, there is still no complete understanding of the long-term evolution of neutrino emission in supernova explosions, although there are a number of modern simulations of neutrino radiation hydrodynamics, which study neutrino emission at times less than one second after the bounce. In the present work we systematically calculate the number of neutrinos that can be observed in Super-Kamiokande over periods longer than ten seconds using the database of Nakazato et al. (2013) anticipating that neutrinos from a Galactic supernova can be detected for several tens of seconds. We find that for a supernova at a distance of 10 kpc, neutrinos remain observable for longer than 30 s for a low-mass neutron star ($1.20M_odot$ gravitational mass) and even longer than 100 s for a high-mass neutron star ($2.05M_odot$). These scenarios are much longer than the observations of SN1987A and longer than the duration of existing numerical simulations. We propose a new analysis method based on the cumulative neutrino event distribution as a function of reverse time from the last observed event, as a useful probe of the neutron star mass. Our result demonstrates the importance of complete modeling of neutrino light curves in order to extract physical quantities essential for understanding supernova explosion mechanisms, such as the mass and radius of the resulting neutron star." @default.
- W3100515907 created "2020-11-23" @default.
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- W3100515907 date "2019-08-21" @default.
- W3100515907 modified "2023-10-10" @default.
- W3100515907 title "Observing Supernova Neutrino Light Curves with Super-Kamiokande: Expected Event Number over 10 s" @default.
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- W3100515907 doi "https://doi.org/10.3847/1538-4357/ab2e05" @default.
- W3100515907 hasPublicationYear "2019" @default.
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