Published February 1, 2012 | Version v1
Journal article

COSMIC-RAY STREAMING FROM SUPERNOVA REMNANTS AND GAMMA-RAY EMISSION FROM NEARBY MOLECULAR CLOUDS

  • 1. Kavli Institute of Astronomy and Astrophysics, Peking University, Beijing, 100871 (China)
  • 2. Department of Astronomy, University of Wisconsin, Madison, WI 53706 (United States)
  • 3. Institute for Theoretical Physics IV, Ruhr University, Bochum, 44780 (Germany)

Description

High-energy gamma-ray emission has been detected recently from supernova remnants (SNRs) and their surroundings. The existence of molecular clouds near some of the SNRs suggests that the gamma rays originate predominantly from p-p interactions with cosmic rays (CRs) accelerated at a closeby SNR shock wave. Here we investigate the acceleration of CRs and the gamma-ray production in the cloud self-consistently by taking into account the interactions of the streaming instability and the background turbulence both at the shock front and in the ensuing propagation to the clouds. We focus on the later evolution of SNRs, when the conventional treatment of the streaming instability is valid but the magnetic field is enhanced due to Bell's current instability and/or the dynamo generation of magnetic field in the precursor region. We calculate the time dependence of the maximum energy of the accelerated particles. This result is then used to determine the diffusive flux of the runaway particles escaping the shock region, from which we obtain the gamma spectrum consistent with observations. Finally, we check the self-consistency of our results by comparing the required level of diffusion with the level of the streaming instability attainable in the presence of turbulence damping. The energy range of CRs subject to the streaming instability is able to produce the observed energy spectrum of gamma rays.

Availability note (English)

Available from http://dx.doi.org/10.1088/0004-637X/745/2/140

Additional details

Identifiers

Publishing Information

Journal Title
Astrophysical Journal
Journal Volume
745
Journal Issue
2
Journal Page Range
[7 p.]
ISSN
0004-637X
CODEN
ASJOAB