Adiabaticity and spectral splits in collective neutrino transformations

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

20 pages, revtex, 13 figures

Scientific paper

10.1103/PhysRevD.76.125008

Neutrinos streaming off a supernova core transform collectively by neutrino-neutrino interactions, leading to "spectral splits" where an energy E_split divides the transformed spectrum sharply into parts of almost pure but different flavors. We present a detailed description of the spectral split phenomenon which is conceptually and quantitatively understood in an adiabatic treatment of neutrino-neutrino effects. Central to this theory is a self-consistency condition in the form of two sum rules (integrals over the neutrino spectra that must equal certain conserved quantities). We provide explicit analytic and numerical solutions for various neutrino spectra. We introduce the concept of the adiabatic reference frame and elaborate on the relative adiabatic evolution. Violating adiabaticity leads to the spectral split being "washed out". The sharpness of the split appears to be represented by a surprisingly universal function.

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

Adiabaticity and spectral splits in collective neutrino transformations 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 Adiabaticity and spectral splits in collective neutrino transformations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Adiabaticity and spectral splits in collective neutrino transformations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-715248

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