Impact of late-time neutrino emission on the diffuse supernova neutrino background
Impact of late-time neutrino emission on the diffuse supernova neutrino background
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DOI：
10.1103/physrevd.106.043026
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发表时间：
2022-06
影响因子：
5
通讯作者：
Nick Ekanger;S. Horiuchi;K. Kotake;K. Sumiyoshi
中科院分区：
文献类型：
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作者：
Nick Ekanger;S. Horiuchi;K. Kotake;K. Sumiyoshi
在缺乏高统计超新星中微子测量的情况下，弥漫超新星中微子背景（DSNB）的估计取决于核心塌陷超新星模拟的精度。了解原中子星 (PNS) 演化的冷却阶段（核心弹跳后的$\gtrsim1\,{\rm s}$）至关重要，因为中微子释放的大约 50% 的能量是在冷却阶段释放的。我们通过将 3D 流体动力学模拟预测的中微子发射与几个冷却阶段估计相结合，采用混合方法对冷却阶段进行建模，其中包括取决于最终重子 PNS 质量和激波复兴时间的新颖的两参数相关性。我们发现 Super-Kamiokande 的预测 DSNB 事件发生率可能因冷却阶段处理的不同而变化 $\sim2-3$。我们还发现，除了一项冷却估计之外，预测的 DSNB 事件的范围很大程度上是由中微子平均能量的不确定性驱动的。通过对晚期中微子发射的深入了解，可以为下一代 DSNB 搜索做出更精确的 DSNB 估计。
In the absence of high-statistics supernova neutrino measurements, estimates of the diffuse supernova neutrino background (DSNB) hinge on the precision of simulations of core-collapse supernovae. Understanding the cooling phase of protoneutron star (PNS) evolution ($\gtrsim1\,{\rm s}$ after core bounce) is crucial, since approximately 50% of the energy liberated by neutrinos is emitted during the cooling phase. We model the cooling phase with a hybrid method by combining the neutrino emission predicted by 3D hydrodynamic simulations with several cooling-phase estimates, including a novel two-parameter correlation depending on the final baryonic PNS mass and the time of shock revival. We find that the predicted DSNB event rate at Super-Kamiokande can vary by a factor of $\sim2-3$ depending on the cooling-phase treatment. We also find that except for one cooling estimate, the range in predicted DSNB events is largely driven by the uncertainty in the neutrino mean energy. With a good understanding of the late-time neutrino emission, more precise DSNB estimates can be made for the next generation of DSNB searches.