Fourier analysis of real-time, high-statistics solar neutrino observations

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages (RevTeX) + 1 figure (postscript); requires epsfig.sty

Scientific paper

10.1103/PhysRevD.56.4374

Solar neutrino oscillations with wavelengths comparable to the Earth-Sun distance provide a viable explanations of the long-standing solar neutrino deficit. They imply a time-dependent modulation of the solar neutrino flux due to the eccentricity of the Earth orbit. Motivated by this testable prediction, we propose a Fourier analysis of the signal observable in real-time, solar neutrino experiments. We give the general expressions of the Fourier coefficients and of their correlated uncertainties in the presence of background. The expressions assume a particularly compact form in the case of two-flavor neutrino oscillations in vacuum. We discuss the sensitivity to the lowest harmonics of the new-generation, high-statistics experiments SuperKamiokande, Sudbury Neutrino Observatory, and Borexino.

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

Fourier analysis of real-time, high-statistics solar neutrino observations 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 Fourier analysis of real-time, high-statistics solar neutrino observations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Fourier analysis of real-time, high-statistics solar neutrino observations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-117184

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