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arXiv 2101.01700hep-phastro-ph.HE
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后期中微子味的快速转换

Fast Neutrino Flavor Conversion at Late Time

Soumya Bhattacharyya

摘要:

我们都知道,在致密的各向异性的恒星内部,中微子-中微子前向散射可以导致快速的集体中微子振荡,这对中微子发射的味道依赖有着惊人的后果,对超新星的演化及其中微子信号至关重要。这种稠密中微子系统的味演化是由大量耦合的非线性偏微分方程控制的,这些方程几乎总是很难求解的。虽然“线性稳定性分析”理解了触发、初始线性增长和快速振荡发生的条件,但这未能回答一个重要问题:“快速味转换对可观测中微子通量或超新星爆炸机制的影响是什么?".这是一个非常困难的问题,需要理解非线性区域中最终状态解的性质。朝着这个方向,我们提出了一个第一个数值以及分析研究的耦合味演化的非平稳和非均匀的密集中微子系统的非线性制度,考虑一个空间维度和速度模式的频谱。这项工作给出了一个清晰的画面,这种系统的最终状态的味道动力学指定其依赖于时空坐标,相空间变量以及轻子不对称性,因此可以有重大的影响超新星天体物理学以及其相关的中微子现象,即使是最现实的情况。

英文摘要:

We all know that in the dense anisotropic interior of the star, neutrino-neutrino forward-scattering can lead to fast collective neutrino oscillations, which has striking consequences on flavor dependent neutrino emission and can be crucial for the evolution of a supernova and its neutrino signal. The flavor evolution of such dense neutrino system is governed by a large number of coupled nonlinear partial differential equations which are almost always very difficult to solve. Although the triggering, initial linear growth and the condition for fast oscillations to occur are understood by "Linear stability analysis" but this fails to answer an important question: "what is the impact of fast flavor conversion on observable neutrino fluxes or the supernova explosion mechanism?". This is a significantly harder problem that requires understanding the nature of the final state solution in the nonlinear regime. Moving towards this direction we present one of the first numerical as well as an analytical study of the coupled flavor evolution of a non-stationary and inhomogeneous dense neutrino system in the nonlinear regime considering one spatial dimension and a spectrum of velocity modes. This work gives a clear picture of the final state flavor dynamics of such systems specifying its dependence on space-time coordinates, phase space variables as well as the lepton asymmetry and thus can have significant implications for the supernova astrophysics as well as its associated neutrino phenomenology even for the most realistic scenario.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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