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Refinements to the Solar Polar Magnetic Flux: Implications from Inversion Methodologies

Bryan Yamashiro, Xudong Sun, Ivan Milić, Carlos Quintero Noda, Adur Pastor Yabar, Rebecca Centeno, Jiayi Liu, Milan Gošić, Kai Yang

Abstract

The magnetic fields in the solar polar region are important to our understanding of the internal dynamo process, the global coronal structure, and the origin of the solar wind. The inference of polar fields based on spectropolarimetric observation is highly model-dependent and can suffer from various systematic effects. Here we analyze a raster map of the southern polar region taken by the Hinode Spectro-Polarimeter, utilizing the Stokes Inversion based on Response functions code. The inversions provide height-dependent vector magnetic field maps between optical depths $\log_{10}τ= -2$ and $0$. We examine the impact on the total magnetic flux estimate from adopting (1) 1- vs 2-component atmospheric models via a "filling factor" parameter and (2) different analysis schemes. At $\log_{10}τ= -1.5$, the polar magnetic flux is estimated to be $(1.84 \pm 0.03) \times 10^{21}$ Mx and $(1.38 \pm 0.02) \times 10^{21}$ Mx under the 1- and 2-component atmosphere assumption, respectively. The magnetic flux is approximately constant or increases slightly with height, respectively. We find that the 2-component (1-component) configuration is preferred for 58.3% (32.3%) of the pixels. Different initial guesses, including the input atmosphere model and the filling factor, as well as different inversion settings, can significantly affect the results, especially for locations with weaker polarization signals. Our work highlights the importance of including unresolved magnetic structures or stray light into consideration. Model degeneracy and the convergence to local minima limit the precision of the polar magnetic flux inference (no better than several tens of percent in this case). Higher-resolution observations and advanced inversion and disambiguation algorithms may alleviate these limitations.

Refinements to the Solar Polar Magnetic Flux: Implications from Inversion Methodologies

Abstract

The magnetic fields in the solar polar region are important to our understanding of the internal dynamo process, the global coronal structure, and the origin of the solar wind. The inference of polar fields based on spectropolarimetric observation is highly model-dependent and can suffer from various systematic effects. Here we analyze a raster map of the southern polar region taken by the Hinode Spectro-Polarimeter, utilizing the Stokes Inversion based on Response functions code. The inversions provide height-dependent vector magnetic field maps between optical depths and . We examine the impact on the total magnetic flux estimate from adopting (1) 1- vs 2-component atmospheric models via a "filling factor" parameter and (2) different analysis schemes. At , the polar magnetic flux is estimated to be Mx and Mx under the 1- and 2-component atmosphere assumption, respectively. The magnetic flux is approximately constant or increases slightly with height, respectively. We find that the 2-component (1-component) configuration is preferred for 58.3% (32.3%) of the pixels. Different initial guesses, including the input atmosphere model and the filling factor, as well as different inversion settings, can significantly affect the results, especially for locations with weaker polarization signals. Our work highlights the importance of including unresolved magnetic structures or stray light into consideration. Model degeneracy and the convergence to local minima limit the precision of the polar magnetic flux inference (no better than several tens of percent in this case). Higher-resolution observations and advanced inversion and disambiguation algorithms may alleviate these limitations.
Paper Structure (4 sections, 2 figures)

This paper contains 4 sections, 2 figures.

Figures (2)

  • Figure 1: Top Left: Full disk 195Å SOHO/EIT EUV image taken on 2007.03.16. Bottom:Hinode/SP $B_{\mathrm{LOS}}$ map of the southern polar coronal hole. The field of view is shown by the red box in the top left panel. Top Right: Zoomed view of a polar magnetic patch as indicated by the red box in the bottom panel. The pixels with significant polarization selected for analysis are outlined by black contours. The black box is the window used for the height analysis in Section \ref{['subsec:height']}.
  • Figure 2: Continuum intensities of the Hinode/SP raster. The blue point cloud shows the values of all pixels. The mean intensity $I_c$ as a function of $\mu$ is represented by the red line. The black line $I_{LD}$ depicts the reference limb darkening curve multiplied by the scaling term that minimizes the squared error between the two curves. This curve is used for normalizing the observations.