Can We Improve the Preprocessing of Photospheric Vector Magnetograms by the Inclusion of Chromospheric Observations?
T. Wiegelmann, J. K. Thalmann, C. J. Schrijver, M. L. Derosa, T. R., Metcalf

TL;DR
This paper introduces an improved preprocessing method for photospheric vector magnetograms that incorporates chromospheric observations, leading to more accurate boundary conditions for nonlinear force-free extrapolations of the solar magnetic field.
Contribution
The authors develop a novel minimization procedure that includes chromospheric fibril alignment, enhancing the preprocessing of photospheric magnetic data for better coronal field modeling.
Findings
Preprocessing with chromospheric data improves magnetic field alignment to within a few degrees.
The method reduces errors in free energy estimation to within one percent.
It enhances the consistency of boundary data for nonlinear force-free extrapolations.
Abstract
The solar magnetic field is key to understanding the physical processes in the solar atmosphere. Nonlinear force-free codes have been shown to be useful in extrapolating the coronal field upward from underlying vector boundary data. However, we can only measure the magnetic field vector routinely with high accuracy in the photosphere, and unfortunately these data do not fulfill the force-free condition. We must therefore apply some transformations to these data before nonlinear force-free extrapolation codes can be self-consistently applied. To this end, we have developed a minimization procedure that yields a more chromosphere-like field, using the measured photospheric field vectors as input. The procedure includes force-free consistency integrals, spatial smoothing, and -- newly included in the version presented here -- an improved match to the field direction as inferred from…
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Taxonomy
TopicsStatistical and numerical algorithms · Earthquake Detection and Analysis · Calibration and Measurement Techniques
