A Numerical Assessment of Cosmic-ray Energy Diffusion through Turbulent Media

Abstract

How and where cosmic rays are produced, and how they diffuse through various turbulent media, represent fundamental problems in astrophysics with far reaching implications, both in terms of our theoretical understanding of high-energy processes in the Milky Way and beyond, and the successful interpretation of space-based and ground based GeV and TeV observations. For example, recent and ongoing detections, e.g., by Fermi (in space) and HESS (in Namibia), of $\gamma$-rays produced in regions of dense molecular gas hold important clues for both processes. In this paper, we carry out a comprehensive numerical investigation of relativistic particle acceleration and transport through turbulent magnetized environments in order to derive broadly useful scaling laws for the energy diffusion coefficients.

Accepted for publication in ApJ

References in corpus (7)

• A Testable the Stochastic Acceleration Model for Flares in Sagittarius A*
• Enhanced Cosmic Ray Flux and Ionization for Star Formation in Molecular Clouds Interacting with Supernova Remnants
• A Possible Link Between the Galactic Center HESS Source and Sgr A*
• Ultra-High-Energy Cosmic Rays from the Radio Lobes of AGNs
• The Efficiency of Second-Order Fermi Acceleration by Weakly Compressible MHD Turbulence
• Diffuse TeV Emission at the Galactic Centre
• Diffusive Cosmic-ray Acceleration in Sagittarius A*

Cited by in corpus (7)

• Acceleration and Escape Processes of High-energy Particles in Turbulence inside Hot Accretion Flows
• Particle acceleration in relativistic turbulence: A theoretical appraisal
• Stochastic Particle Acceleration in Turbulence Generated by the Magnetorotational Instability
• Powerlaw spectra from stochastic acceleration
• Reacceleration of electrons in supernova remnants
• Velocity decorrelation functions of high-energy cosmic rays propagating in magnetic fields
• Transport of charged particles propagating in turbulent magnetic fields as a red-noise process