Vacuum oscillations of solar neutrinos: correlation between spectrum distortion and seasonal variations

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

11 pages, 4 eps figures, LaTeX, analytical study and some explanations added, updated experimental results used

Scientific paper

10.1016/S0370-2693(98)00162-2

Long length vacuum oscillations solution of the solar neutrino problem is discussed. We show that there is a strict correlation between a distortion of the neutrino energy spectrum and an amplitude of seasonal variations of the neutrino flux. The slope parameter which characterizes a distortion of the recoil electron energy spectrum in the Super-Kamiokande experiment and the seasonal asymmetry of the signal have been calculated in a wide range of oscillation parameters. The correlation of the slope and asymmetry gives crucial criteria for identification or exclusion of this solution. For the positive slope indicated by preliminary Super-Kamiokande data we predict (40 - 60) % enhancement of the seasonal variations.

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

Vacuum oscillations of solar neutrinos: correlation between spectrum distortion and seasonal variations 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 Vacuum oscillations of solar neutrinos: correlation between spectrum distortion and seasonal variations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Vacuum oscillations of solar neutrinos: correlation between spectrum distortion and seasonal variations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-294525

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