Probing the neutrino mass hierarchy and the 13-mixing with supernovae

By C. Lunardini, A. Smirnov. 2003

135 citations recorded by the source corpus.

We consider in detail the effects of the 13-mixing (sin2?13) and of the type of mass hierarchy/ordering (sign[?m213]) on neutrino signals from the gravitational collapses of stars. The observables (characteristics of the energy spectra of ?e and e events) sensitive to sin2?13 and sign[?m213] have been calculated. They include the ratio of average energies of the spectra, rE?E/?, the ratio of widths of the energy distributions, r???/, the ratios of total numbers of ?e and e events at low energies, S, and in the high energy tails, Rtail. We construct and analyse scatter plots which show the predictions for the observables for different intervals of sin2?13 and signs of ?m213, taking into account uncertainties in the original neutrino spectra, the star density profile, etc. Regions in the space of observables rE, r?, S, Rtail exist in which certain mass hierarchy and intervals of sin2?13 can be identified or discriminated. We elaborate on the method of the high energy tails in the spectra of events. The conditions are formulated for which sin2?13 can be (i) measured, (ii) restricted from below, (iii) restricted from above. We comment on the possibility to determine sin2?13 using the time dependence of the signals due to the propagation of the shock wave through the resonance layers of the star. We show that the appearance of the delayed Earth matter effect in one of the channels (?e or e) in combination with the undelayed effect in the other channel will allow us to identify the shock wave appeareance and determine the mass hierarchy.

Subfields: Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/a3e2361eb82002d9d1353eca8c8dcea62e43132f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Nuclear and High Energy Physics

  1. A. Marrone
  2. E. Lisi
  3. G. Raffelt
  4. S. Hannestad
  5. Y. Wong
  6. Hans-Thomas Janka
  7. G. Fogli
  8. A. Mirizzi

Citations in the corpus