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Résumé |
Accurately modeling neutrino flavor oscillations in global simulations of core-
collapse supernovae or neutron star mergers remains a major challenge, albeit a
potentially crucial one for making reliable predictions. Indeed, it is now widely
recognized that flavor instabilities, in which neutrino distributions computed in
classical transport frameworks can be dramatically reshaped by flavor conversion,
are ubiquitous in such environments.
In this talk, I will describe recent progress in understanding and modeling these
instabilities, focusing on the development of subgrid models of neutrino flavor
transformation. In this approach, insights from detailed studies of local quantum
neutrino transport are used to formulate effective prescriptions that modify
classical neutrino distributions, enabling their incorporation into large-scale
simulations. Over the past year, the first supernova and neutron star merger
simulations including these subgrid treatments have been performed, a key step
toward fully incorporating neutrino physics into such models and assessing its
wide-ranging implications. |
