发表机构
Universidad Técnica Federico Santa María; Los Alamos National Laboratory（费德里科·圣玛丽亚技术大学; 洛斯阿拉莫斯国家实验室）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文研究超新星和中子星合并中混合型中微子味不稳定性，通过二维相图分析增长率谱，发现临界曲线及最快增长模式的相变，旨在理解自然中实际发生的味不稳定性。
AI 中文摘要
超新星和中子星合并中的中微子味组成受味不稳定性的影响，这些不稳定性通常分为三类：慢（SFI）、快（FFI）和碰撞（CFI）。本文关注的是结合标准类型特征的混合型不稳定性。我们在二维参数空间（“相图”）中考察不稳定性的增长率，其坐标轴对应于纯类型的不稳定性。我们发现临界曲线连接了纯类型不稳定性起始点。我们还展示了增长率谱 γ_k 的定性趋势，强调了最快增长傅里叶模式 k_max 中的交叉和相变现象，并提请注意空间平均（k=0）与味波（k≠0）不稳定性之间的区别。我们的论文是朝着理解自然界中实际发生而非理想化极限下的味不稳定性迈出的一步。
英文摘要
The neutrino flavor composition in supernovae and neutron star mergers is shaped by flavor instabilities, which are commonly classified into three types: slow (SFI), fast (FFI), and collisional (CFI). The focus here is on mixed-type instabilities combining attributes of the standard varieties. We examine instability growth rates in two-dimensional parameter spaces (``phase diagrams'') whose axes correspond to instabilities of pure type. We find critical curves connecting the pure-type instability onset points. We also exhibit qualitative trends in the growth-rate spectra $γ_{\bm{k}}$, emphasizing the occurrence of crossovers and phase transitions in the fastest-growing Fourier mode $k_{\textrm{max}}$ and drawing attention to the distinction between spatial-mean ($\bm{k} = 0$) and flavor-wave ($\bm{k} \neq 0$) instabilities. Our paper is a step toward understanding flavor instabilities as they actually occur in nature rather than in idealized limits.
