Constraining electron number density in the Sun via Earth-based neutrino flavor data
arxiv(2024)
摘要
Neutrino flavor transformation offers a window into the physics of various
astrophysical environments, including our Sun and the more exotic environs of
core-collapse supernovae and binary neutron-star mergers. Here, we apply an
inference framework - specifically: statistical data assimilation (SDA) - to
neutrino flavor evolution in the Sun. We take a model for solar neutrino flavor
evolution, together with Earth-based neutrino measurements, to infer solar
properties. Specifically, we ask what signature of the radially-varying solar
electron number density n_e(r) is contained within these Earth-based
measurements. Currently, the best estimates of n_e(r) come from the standard
solar model. We seek to ascertain, through novel application of the SDA method,
whether estimates of the same from neutrino data can serve as independent
constraints.
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