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…
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…
Constraining solar electron number density via neutrino flavor data at Borexino
Caroline Laber-Smith, Eve Armstrong, A. Baha Balantekin +6
Understanding the physics of the deep solar interior, and the more exotic environs of core-collapse supernovae (CCSN) and binary neutron-star (NS) mergers, is of keen interest in m…