From the 1 of 3 linked papers with an AI index.
3 papers
Estimating amplitude of matter density fluctuations in solar and supernova models using neutrino flavor evolution
Caroline Laber-Smith, Hansen Torres, Lily Newkirk +3
The paper uses statistical data assimilation to infer the amplitude of matter density fluctuations along neutrino paths in simplified solar and core‑collapse supernova models, show…
Inference finds consistency between a neutrino flavor evolution model and Earth-based solar neutrino measurements
Caroline Laber-Smith, A. A. Ahmetaj, Eve Armstrong +4
We continue examining statistical data assimilation (SDA), an inference methodology, to infer solutions to neutrino flavor evolution, for the first time using real - rather than si…
Leveraging neutrino flavor physics for supernova model differentiation
Lily Newkirk, Eve Armstrong, A. Baha Balantekin +7
Neutrino flavor evolution is critical for understanding the physics of dense astrophysical regimes, including core-collapse supernovae (CCSN). Powerful numerical integration codes…