arXiv · 1704.05480
Neutrino emissions in all flavors up to the pre-bounce of massive stars and the possibility of their detections
Abstract
This paper is a sequel to our previous one (Kato et al.2015), which calculated the luminosities and spectra of electron-type anti-neutrinos ($\barν_e$'s) from the progenitors of core-collapse supernovae. Expecting that a capability to detect electron-type neutrinos ($ν_e$'s) will increase dramatically with the emergence of liquid-argon detectors such as DUNE, we broaden the scope in this study to include all-flavors of neutrinos emitted from the pre-bounce phase. We pick up three progenitor models of an electron capture supernova (ECSN) and iron-core collapse supernovae (FeCCSNe). We find that the number luminosities reach $\sim10^{57} \mathrm{s^{-1}}$ and $\sim10^{53} \mathrm{s^{-1}}$ at maximum for $ν_e$ and $\barν_e$, respectively. We also estimate the numbers of detection events at terrestrial neutrino detectors including DUNE, taking flavor oscillations into account and assuming the distance to the progenitors to be 200 pc. It is demonstrated that $\barν_e$'s from the ECSN-progenitor will be undetected at almost all detectors, whereas we will be able to observe $\gtrsim$15900 $ν_e$'s at DUNE for the inverted mass hierarchy. From the FeCCSN-progenitors, the number of $\barν_e$ events will be largest for JUNO, 200-900 $\barν_e$'s, depending on the mass hierarchy whereas the number of $ν_e$ events at DUNE is $\gtrsim$2100 for the inverted mass hierarchy. These results imply that the detection of $\barν_e$'s is useful to distinguish FeCCSN- from ECSN-progenitors, while $ν_e$'s will provide us with detailed information on the collapse phase regardless of the type and mass of progenitor.
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Chinami Kato, Hiroki Nagakura, Shun Furusawa, Koh Takahashi, Hideyuki Umeda, Takashi Yoshida, Koji Ishidoshiro, Shoichi Yamada. 2017-09-18. Neutrino emissions in all flavors up to the pre-bounce of massive stars and the possibility of their detections. https://doi.org/10.3847/1538-4357%2Faa8b72
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