A tensor-network method enables simulations of inhomogeneous many-body neutrino flavor instabilities, showing earlier equilibration than mean-field approximations with differences arising from initial configurations and boundaries.
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astro-ph.HE 2years
2025 2verdicts
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Many-body correlations disrupt the inhomogeneous fast flavor instability, with flavor transformation timescale scaling logarithmically with system size.
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Two-beam Multiparticle Many-body simulations of Inhomogeneous FFI
A tensor-network method enables simulations of inhomogeneous many-body neutrino flavor instabilities, showing earlier equilibration than mean-field approximations with differences arising from initial configurations and boundaries.
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Many-Body Simulations of the Fast Flavor Instability
Many-body correlations disrupt the inhomogeneous fast flavor instability, with flavor transformation timescale scaling logarithmically with system size.