Issue |
A&A
Volume 458, Number 2, November I 2006
|
|
---|---|---|
Page(s) | 641 - 651 | |
Section | The Sun | |
DOI | https://doi.org/10.1051/0004-6361:20065809 | |
Published online | 12 September 2006 |
Electron acceleration in solar flares: theory of spectral evolution
Institute of Astronomy, ETH Zurich, 8092 Zurich, Switzerland e-mail: pgrigis@astro.phys.ethz.ch
Received:
12
June
2006
Accepted:
31
July
2006
Context.Stochastic acceleration is thought to be a key mechanism in the energization of solar flare electrons.
Aims.We study whether stochastic acceleration can reproduce the observed soft-hard-soft evolution of the spectral features of the hard X-ray emitted by suprathermal electrons. We pay special attention to the effects of particle trapping and escape.
Methods.The Fokker-Planck equation for the electron distribution is integrated numerically using the coefficients derived by Miller et al. for transit-time damping acceleration. The electron spectra are then converted to photon spectra for comparison with RHESSI observations of looptop sources.
Results.The presence of particle escape softens the model spectra computed in the stochastic acceleration framework. The ratio between the efficiency of trapping and acceleration controls the spectral evolution which follows a soft-hard-soft pattern. Furthermore, a pivot point (that is, a common crossing point of the accelerated particle spectra at different times) is found at around 10 keV. It can be brought into agreement with the observed value of 20 keV by enhanced trapping through an electric potential.
Conclusions.The model proposed here accounts for the key features observed in the spectral evolution of hard X-ray emission from looptop sources.
Key words: Sun: flares / Sun: X-rays, gamma rays / acceleration of particles
© ESO, 2006
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.