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This study investigates how neutrinos change their flavor in extreme astrophysical environments like core-collapse supernovae, where two competing instabilities (Fast Flavor Instability and Collisional Flavor Instability) interact with particle collisions. Using quantum kinetic simulations that include spatial movement and collision effects, researchers found that despite complex intermediate dynamics, these competing processes consistently drive neutrino systems toward the same flavor-equilibrated final state. The findings demonstrate that collisional effects significantly alter the evolution pathway and final outcome compared to predictions from collision-free models.
Why it matters
Accurate modeling of neutrino behavior in supernovae is crucial for understanding stellar explosions, element formation in the universe, and the physics of extreme matter. These results indicate that supernova models must incorporate collisional effects to correctly predict neutrino flavor evolution outcomes, which affects how energy is transported during stellar collapse and influences observable signals from these cosmic events.
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⚠️ Preprint – Noch nicht peer-reviewed
Dieser Artikel wurde noch nicht von unabhängigen Experten begutachtet. Die Ergebnisse sind vorläufig und sollten mit Vorsicht interpretiert werden.
Abstract: Neutrino flavor evolution in dense astrophysical environments such as core-collapse supernova (CCSN) is influenced by collective effects. While the Fast Flavor Instability (FFI) and the Collisional Flavor Instability (CFI) are recognized as key drivers of rapid flavor conversion, their non-linear competition with collisional damping in spatially inhomogeneous systems remains poorly understood. Motivated by recent findings that FFI and resonance-like CFI co-occur in the post-bounce phase in CCSN, we scrutinize their dynamic competitions and asymptotic states. To this end, we perform numerical simulations of the quantum kinetic neutrino transport, incorporating both spatial advection and the collision terms. We demonstrate that the interplay between these coexisting neutrino flavor instabilities and collisions leads to rich dynamics. Rather than merely inducing simple decoherence, collisional damping can substantially alter the overall dynamics of collective flavor oscillations, driving the system through complex evolutionary pathways. In all cases where flavor instability develops, we find that the system converges to the same flavor-equilibrated asymptotic state, despite the diversity of intermediate dynamics. Our results suggest that realistic collisional effects drive the system to an asymptotic state distinct from the one predicted by the collisionless FFI picture. This highlights the importance of incorporating collisional effects when modeling the asymptotic outcome of flavor conversion in CCSN models.