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Image-Optimized Coronal Magnetic Field ModelsWe have reported previously on a new method we are developing for using image-based information to improve global coronal magnetic field models. In that work we presented early tests of the method which proved its capability to improve global models based on flawed synoptic magnetograms, given excellent constraints on the field in the model volume. In this follow-up paper we present the results of similar tests given field constraints of a nature that could realistically be obtained from quality white-light coronagraph images of the lower corona. We pay particular attention to difficulties associated with the line-of-sight projection of features outside of the assumed coronagraph image plane, and the effect on the outcome of the optimization of errors in localization of constraints. We find that substantial improvement in the model field can be achieved with this type of constraints, even when magnetic features in the images are located outside of the image plane.
Document ID
Document Type
Reprint (Version printed in journal)
Jones, Shaela I. (Catholic Univ. of America Washington, DC, United States)
Uritsky, Vadim (Catholic Univ. of America Washington, DC, United States)
Davila, Joseph M. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
January 18, 2018
Publication Date
July 26, 2017
Publication Information
Publication: The Astrophysical Journal
Volume: 844
Issue: 2
ISSN: 0004-637X
Subject Category
Statistics and Probability
Solar Physics
Instrumentation and Photography
Report/Patent Number
Funding Number(s)
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