Neutrino flavor instabilities intermediate between slow and fast
Abstract
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 γk, emphasizing the occurrence of crossovers and phase transitions in the fastest-growing Fourier mode kmax and drawing attention to the distinction between spatial-mean (k = 0) and flavor-wave (k ≠ 0) instabilities. Our paper is a step toward understanding flavor instabilities as they actually occur in nature rather than in idealized limits.
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BibTeX
@misc{viaux2026neutrino,
title = {{Neutrino flavor instabilities intermediate between slow and fast}},
author = {Nicolas Viaux and Lucas Johns},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.02332},
eprint = {2610.02332},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.02332},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - UNPB
TI - Neutrino flavor instabilities intermediate between slow and fast
AU - Nicolas Viaux
AU - Lucas Johns
PY - 2026
DA - 2026/10/01
PB - arXiv
DO - 10.48550/arxiv.2610.02332
UR - https://arxiv.org/abs/2610.02332
AB - 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_k, emphasizing the occurrence of crossovers and phase transitions in the fastest-growing Fourier mode k_max and drawing attention to the distinction between spatial-mean (k = 0) and flavor-wave (k ≠ 0) instabilities. Our paper is a step toward understanding flavor instabilities as they actually occur in nature rather than in idealized limits.
ER -