Inferring Local Twist of the Coronal Magnetic Field from Coronal Loops in EUV and X-ray Images

Computer Science – Performance

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Non-linear force-free fields are the most general case of force-free fields, but the hardest to model as well. There are numerous methods of computing such fields by extrapolating vector magnetograms from the photosphere, but very few attempts have so far made quantitative use of coronal morphology. We present an improved method which infers properties of the force-free field from X-Ray and EUV images of active region coronal loops. Each loop evident in an image is fit to field lines from constant-alpha fields. Our algorithm thereby estimates the three-dimensional geometry of each loop as well its local twist (alpha) and the magnetic field strength over its length. We assess the performance of this method by applying it to known examples of 3D non-linear force free fields. We demonstrate that at least some features of the local twist distribution could be reconstructed using this method.

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

Inferring Local Twist of the Coronal Magnetic Field from Coronal Loops in EUV and X-ray Images 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 Inferring Local Twist of the Coronal Magnetic Field from Coronal Loops in EUV and X-ray Images, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Inferring Local Twist of the Coronal Magnetic Field from Coronal Loops in EUV and X-ray Images will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1113358

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