Fast Flavor Conversions at the Edge of Instability in a Two-Beam Model

IF 8.1 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY
Damiano F. G. Fiorillo, Georg G. Raffelt
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引用次数: 0

Abstract

A dense neutrino gas exhibiting angular crossings in the electron lepton number is unstable and develops fast flavor conversions. Instead of assuming an unstable configuration from the onset, we imagine that the system is externally driven toward instability. We use the simplest model of two neutrino beams initially of different flavor that either suddenly appear or one or both slowly build up. Flavor conversions commence well before the putative unstable state is fully attained, and the final outcome depends on how the system is driven. The system generally sticks to the closest state that is linearly stable, a conclusion that we prove for the first time using quasilinear theory. Our results suggest that in an astrophysical setting, one should focus less on flavor instabilities in the neutrino radiation field and more on the external dynamics that leads to the formation of the unstable state. Published by the American Physical Society 2024
双梁模型不稳定边缘的快速风味转换
在电子轻子数上表现出角交叉的致密中微子气体是不稳定的,并发展出快速的风味转换。而不是从一开始就假设一个不稳定的配置,我们想象系统被外部驱动走向不稳定。我们使用最简单的模型,两束中微子最初具有不同的味道,要么突然出现,要么其中一束或两束慢慢形成。风味转换在假定的不稳定状态完全达到之前就开始了,最终的结果取决于系统是如何驱动的。系统一般会依附于最近的线性稳定状态,我们首次用拟线性理论证明了这一结论。我们的研究结果表明,在天体物理环境中,人们应该少关注中微子辐射场中的风味不稳定性,而更多地关注导致不稳定状态形成的外部动力学。2024年由美国物理学会出版
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physical review letters
Physical review letters 物理-物理:综合
CiteScore
16.50
自引率
7.00%
发文量
2673
审稿时长
2.2 months
期刊介绍: Physical review letters(PRL)covers the full range of applied, fundamental, and interdisciplinary physics research topics: General physics, including statistical and quantum mechanics and quantum information Gravitation, astrophysics, and cosmology Elementary particles and fields Nuclear physics Atomic, molecular, and optical physics Nonlinear dynamics, fluid dynamics, and classical optics Plasma and beam physics Condensed matter and materials physics Polymers, soft matter, biological, climate and interdisciplinary physics, including networks
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