Symmetries in collective neutrino oscillations

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

21 pages, 2 figures. Significant revision in presentation with a new title in v2

Scientific paper

10.1088/0954-3899/36/10/105003

We discuss the relationship between a symmetry in the neutrino flavour evolution equations and neutrino flavour oscillations in the collective precession mode. This collective precession mode can give rise to spectral swaps (splits) when conditions can be approximated as homogeneous and isotropic. Multi-angle numerical simulations of supernova neutrino flavour transformation show that when this approximation breaks down, non-collective neutrino oscillation modes decohere kinematically, but the collective precession mode still is expected to stand out. We provide a criterion for significant flavour transformation to occur if neutrinos participate in a collective precession mode. This criterion can be used to understand the suppression of collective neutrino oscillations in anisotropic environments in the presence of a high matter density. This criterion is also useful in understanding the breakdown of the collective precession mode when neutrino densities are small.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Symmetries in collective neutrino oscillations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Symmetries in collective neutrino oscillations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Symmetries in collective neutrino oscillations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-584932

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.