Magnetic Field Geometry and Composition Variation in Slow Solar Winds: The Case of Sulfur.

Astrophys J

Space Science Division, Code 7684, Naval Research Laboratory, Washington DC 20375, USA.

Published: May 2020

AI Article Synopsis

  • - This study investigates how the first ionization potential (FIP) affects the composition of slow-speed solar winds, focusing on the role of the ponderomotive force in the solar chromosphere and using data from The Advanced Composition Explorer (ACE).
  • - It suggests that the enhanced abundance of sulfur, phosphorus, and carbon in these slow winds may arise from the fractionation of plasma in regions with stronger magnetic fields than typical fast wind areas, particularly around the edges of coronal holes.
  • - The research identifies a specific period in 2008 with observed sulfur abundance patterns linked to declines in solar wind speed and models the sources of these slow winds through magnetic field configurations, aiming to refine understanding of solar wind composition.

Article Abstract

We present an examination of the first ionization potential (FIP) fractionation scenario, invoking the ponderomotive force in the chromosphere and its implications for the source(s) of slow-speed solar winds by using observations from The Advanced Composition Explorer (ACE). Following a recent conjecture that the abundance enhancements of intermediate FIP elements, S, P, and C, in slow solar winds can be explained by the release of plasma fractionated on open fields, though from regions of stronger magnetic field than usually associated with fast solar wind source regions, we identify a period in 2008 containing four solar rotation cycles that show repeated pattern of sulfur abundance enhancement corresponding to a decrease in solar wind speed. We identify the source regions of these slow winds in global magnetic field models, and find that they lie at the boundaries between a coronal hole and its adjacent active region, with origins in both closed and open initial field configurations. Based on magnetic field extrapolations, we model the fractionation and compare our results with element abundances measured by ACE to estimate the solar wind contributions from open and closed fields, and to highlight potentially useful directions for further work.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375201PMC
http://dx.doi.org/10.3847/1538-4357/ab8870DOI Listing

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