Neutrino signatures of supernova turbulence
Alexander Friedland, Andrei Gruzinov

TL;DR
This paper shows that turbulence behind the shock in supernovae can be detected through neutrino signals, revealing details about the explosion mechanism and turbulence characteristics.
Contribution
It introduces a criterion for neutrino flavor depolarization due to turbulence and demonstrates its observational implications in supernova neutrino signals.
Findings
Turbulent density fluctuations affect neutrino flavor transformations.
Neutrino signals can reveal turbulence properties in supernovae.
Turbulence can obscure other features like the shock front in neutrino observations.
Abstract
Convection that develops behind the shock front during the first second of a core-collapse supernova explosion is believed to play a crucial role in the explosion mechanism. We demonstrate that the resulting turbulent density fluctuations may be directly observable in the neutrino signal starting at t>~ 3-4 s after the onset of the explosion. The effect comes from the modulation of the MSW flavor transformations by the turbulent density fluctuations. We derive a simple and general criterion for neutrino flavor depolarization in a Kolmogorov-type turbulence and apply it to the turbulence seen in modern numerical simulations. The turbulence casts a "shadow", by making other features, such as the shock front, unobservable in the density range covered by the turbulence.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNeutrino Physics Research · Astrophysics and Cosmic Phenomena · Gamma-ray bursts and supernovae
