Static and Impulsive Models of Solar Active Regions

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

ApJ, in press

Scientific paper

10.1086/592683

The physical modeling of active regions (ARs) and of the global coronal is receiving increasing interest lately. Recent attempts to model ARs using static equilibrium models were quite successful in reproducing AR images of hot soft X-ray (SXR) loops. They however failed to predict the bright EUV warm loops permeating ARs: the synthetic images were dominated by intense footpoint emission. We demonstrate that this failure is due to the very weak dependence of loop temperature on loop length which cannot simultaneously account for both hot and warm loops in the same AR. We then consider time-dependent AR models based on nanoflare heating. We demonstrate that such models can simultaneously reproduce EUV and SXR loops in ARs. Moreover, they predict radial intensity variations consistent with the localized core and extended emissions in SXR and EUV AR observations respectively. We finally show how the AR morphology can be used as a gauge of the properties (duration, energy, spatial dependence, repetition time) of the impulsive heating.

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

Static and Impulsive Models of Solar Active Regions 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 Static and Impulsive Models of Solar Active Regions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Static and Impulsive Models of Solar Active Regions will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-609529

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