Flux predictions of high-energy neutrinos from pulsars

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

MNRAS, 6 pages, 3 figures, 1 table. Minor editorial changes and typos corrected

Scientific paper

10.1111/j.1365-2966.2006.10665.x

Young, rapidly rotating neutron stars could accelerate ions from their surface to energies of $\sim 1$ PeV. If protons reach such energies, they will produce pions (with low probability) through resonant scattering with x-rays from the stellar surface. The pions subsequently decay to produce muon neutrinos. Here we calculate the energy spectrum of muon neutrinos, and estimate the event rates at Earth. The spectrum consists of a sharp rise at $\sim 50$ TeV, corresponding to the onset of the resonance, above which the flux drops with neutrino energy as $\epsilon_\nu^{-2}$ up to an upper-energy cut-off that is determined by either kinematics or by the maximum energy to which protons are accelerated. We estimate event rates as high as 10-100 km^${-2}$ yr$^{-1}$ from some candidates, a flux that would be easily detected by IceCube. Lack of detection would allow constraints on the energetics of the poorly-understood pulsar magnetosphere.

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

Flux predictions of high-energy neutrinos from pulsars 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 Flux predictions of high-energy neutrinos from pulsars, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Flux predictions of high-energy neutrinos from pulsars will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-195366

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