| 研究分担者 |
松古 栄夫 大学共同利用機関法人高エネルギー加速器研究機構, 計算科学センター, 助教 (10373185)
住吉 光介 沼津工業高等専門学校, 教養科, 教授 (30280720)
小汐 由介 岡山大学, 自然科学学域, 准教授 (80292960)
原田 了 国立研究開発法人理化学研究所, 数理創造プログラム, 基礎科学特別研究員 (80844795)
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| 研究実績の概要 |
On the experimental side, the primary research achievement in FY2021 was the continuous collection of neutron-tagged data after having finally added the very first gadolinium salt to the water of Super-Kamiokande (SK) during FY2020. With 0.01% by mass of Gd3+ ions in the SK water providing ~50% neutron capture efficiency, we have accumulated over 1.5 years of data with what is essentially a brand-new SK detector. The data are being analyzed in the search for supernova neutrino interactions from extremely distant (z=1) explosions. This year we have also prepared for a tripling of the Gd loading expected to begin in early FY2022. Finally, SK's realtime supernova detection capabilities have been enhanced via more powerful computing to provide earlier, more useful warning of a galactic SN to the wider community.
On the theory side, we have performed the numerical simulations with a new set of data tables for the equation of state to explore the effect of the dense matter. We have extended the numerical code to perform calculations of the neutrino radiation hydrodynamics with the Boltzmann solver in general relativity. We made predictions of the neutrino burst events at Super-Kamiokande for different sets of equation of state and examined the ability to distinguish the signals. We have also applied the neutrino big data to explore occurrence of the collective neutrino oscillation and the Eddington tensor.
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