Determining the heavy seesaw neutrino mass matrix from low-energy parameters

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

19 pages, 7 figures; v2: typos corrected, new ref. added; v3:added discussion and references, this version accepted by PRD

Scientific paper

10.1103/PhysRevD.78.113001

We explore how the seesaw sector in neutrino mass models may be constrained through symmetries to be completely determined in terms of low-energy mass, mixing angle and CP-violating phase observables. The key ingredients are intra-family symmetries to determine the neutrino Dirac mass matrix in terms of the charged-lepton or quark mass matrices, together with inter-family or flavor symmetries to determine diagonalization matrices. Implications for leptogenesis and collider detection of heavy neutral leptons are discussed. We show that leptogenesis can succeed in small regions of parameter space for the case where the neutrino Dirac mass matrix equals the up-quark mass matrix. The model where the neutrino Dirac mass matrix equals the charged-lepton mass matrix can yield a heavy neutral lepton as light as about 1 TeV, but detecting such a particle will be difficult.

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

Determining the heavy seesaw neutrino mass matrix from low-energy parameters 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 Determining the heavy seesaw neutrino mass matrix from low-energy parameters, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Determining the heavy seesaw neutrino mass matrix from low-energy parameters will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-556813

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