English

Muon-induced collisional flavor instability in core-collapse supernova

High Energy Physics - Phenomenology 2024-11-14 v1 High Energy Astrophysical Phenomena

Abstract

Neutrinos are known to undergo flavor conversion among their three flavors. In the theoretical modeling of core-collapse supernova (CCSN), there has been a great deal of attention to recent discoveries of a new type of neutrino flavor conversions, namely collisional flavor instability (CFI), in which the instability is induced by the flavor-dependent decoherence due to the disparity of neutrino-matter interactions among flavors. In this paper, we study how the appearance of on-shell muons and associated neutrino-matter interactions can impact CFIs based on linear stability analysis of flavor conversions. Some striking results emerge from the present study. First, we analytically show that breaking beta- and pair equilibrium is a necessary condition to trigger CFIs. This also indicates that CFIs with on-shell muons could appear in eτe \tau and μτ\mu \tau neutrino mixing sectors in very high-density region (1013g/cm3\gtrsim 10^{13} {\rm g/cm^{3}}), exhibiting a possibility of large impacts of CFIs on CCSN. Second, resonance-like CFIs, having a much higher growth rate than normal CFIs, can be triggered by muons. The resonance point of CFIs is different between eτe \tau and μτ\mu \tau sectors; the former (latter) occurs at μe(μ)=μnμp\mu_{e (\mu)} = \mu_{n} - \mu_{p}, where μi\mu_{i} denotes the chemical potential of ii constitute (nn and pp represent neutrons and protons, respectively). Our result suggests that the non-linear evolution of CFI with on-shell muons would induce flavor conversions with the complex interplay among all three different neutrino-mixing sectors.

Keywords

Cite

@article{arxiv.2407.10604,
  title  = {Muon-induced collisional flavor instability in core-collapse supernova},
  author = {Jiabao Liu and Hiroki Nagakura and Ryuichiro Akaho and Akira Ito and Masamichi Zaizen and Shun Furusawa and Shoichi Yamada},
  journal= {arXiv preprint arXiv:2407.10604},
  year   = {2024}
}