Magnetic Field Amplification in Nonlinear Diffusive Shock Acceleration - a Monte Carlo Model

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Recent observations indicating very high values of magnetic fields in collisionless shocks of supernova remnants have triggered extensive research in magnetic field amplification (MFA) by diffusive shock acceleration (DSA). The problem is essentially nonlinear -- that is, magnetic turbulence and accelerated particles produced in the process of DSA carry enough energy to feed back on the structure of the collisionless shock that determines the regime of DSA. Although many aspects of MFA and of dynamics of charged particles in the amplified fields are unknown, the structure of shocks can be studied from the standpoint of fundamental conservation laws. We present the outline and some results of a Monte Carlo model of nonlinearly modified shocks with efficient acceleration of particles and generation of strong stochastic magnetic fields. The model provides insight on the complex connections between components of strong collisionless shocks and makes predictions applicable in various astrophysical problems ranging from structure formation in the Universe to supernova remnant evolution and the origin of cosmic rays.

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

Magnetic Field Amplification in Nonlinear Diffusive Shock Acceleration - a Monte Carlo Model 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 Magnetic Field Amplification in Nonlinear Diffusive Shock Acceleration - a Monte Carlo Model, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Magnetic Field Amplification in Nonlinear Diffusive Shock Acceleration - a Monte Carlo Model will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1666926

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