Numerical study demonstrates neutrino oscillation behavior in vacuum and matter, highlighting the role of CP phase and reproducibility.
We present a computational framework for the study of three-flavor neutrino os-cillations both in vacuum and matter, implemented in Python. The frameworknumerically solves the Schrödinger evolution equation in the flavor basis, incor-porating matter effects and CP-violating phase dependence within the P.M.N.Sformalism for the atmospheric neutrino problem. Oscillation probabilities areevaluated as functions of E in (GeV) and its sensitivity to matter effects andCP phase is systematically explored. The implementation emphasizes numericaltransparency, reproducibility, and suitability for long-baseline neutrino oscilla-tion studies (We consider the DUNE experiment’s baseline length in the pythonimplementation).
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Koranga et al. (2026) studied this question.
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