On relativistic particle acceleration in molecular clouds

Astronomy and Astrophysics – Astronomy

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

25

Electromagnetic Fields, Molecular Clouds, Particle Acceleration, Particle Motion, Galactic Cosmic Rays, Kinetic Equations, Positrons, Radiation Distribution, Stochastic Processes

Scientific paper

Equations of particle motion are derived for weakly ionized turbulent plasma containing a magnetic field. In this case particle energies change due to fluctuating electromagnetic fields. Particle motion in coordinate and momentum space is shown to be described by the diffusion approximation. The solutions of these equations are obtained for both magnetized and unmagnetized particles. Magnetized particles are shown to be effectively accelerated under certain conditions. The distribution functions have been calculated for the conditions of galactic giant molecular clouds. It is found that the cosmic ray density may be higher inside clouds than in the intercloud medium. The possible influence of this process on gamma-emissivity of the Galaxy, on the chemical composition of cosmic rays, on the flux of galactic antiprotons and positrons and on the galactic radio emission is 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

On relativistic particle acceleration in molecular clouds 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 On relativistic particle acceleration in molecular clouds, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On relativistic particle acceleration in molecular clouds will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1776125

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