Cyclotron lines in gamma-ray bursts and magnetic field decay

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Brightness Distribution, Cyclotron Radiation, Gamma Ray Bursts, Neutron Stars, Pulsars, Angular Distribution, Astronomical Models, Gamma Ray Observatory, Ginga Satellite, Milky Way Galaxy, Stellar Evolution

Scientific paper

The presence of cyclotron lines in a significant fraction of gamma-ray burst spectra suggests a source association with strongly magnetized neutron stars. The burster distance scale is not known, but it is constrained by their angular- and brightness distribution. Using pulsar data, the corresponding age distribution of Galactic neutron stars are calculated and an exponential field decay model is applied to test whether the observed incidence rate of cyclotron lines is consistent with decay time scales derived for radio pulsars. It is found that the statistical properties of gamma-ray bursts are inconsistent with the idea of events originating at arbitrary times on neutron stars whose fields decay on time scales shorter than about 10 yrs. Possible interpretations of this inconsistency with radio pulsar field decay models are discussed.

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

Cyclotron lines in gamma-ray bursts and magnetic field decay 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 Cyclotron lines in gamma-ray bursts and magnetic field decay, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Cyclotron lines in gamma-ray bursts and magnetic field decay will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1724667

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