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On the Regulation of the Solar Wind Helium Abundance by the Hydrogen Compressibility

B. L. Alterman, R. D'Amicis

TL;DR

This study demonstrates that the solar wind helium abundance $A_{He}$ is not set solely by wind speed but is regulated by hydrogen compressibility, as quantified by $|\delta n|/n$, and by the Alfvénic content $|\sigma_c|$. Using Wind SWE data, the authors identify two helium-rich populations: an incompressible, Alfvénic subset with a saturation at $A_s \approx 4.2\%$ occurring near $v_s \approx 428$ km s$^{-1}$, and a compressible, non-Alfvénic subset that exhibits larger $m_s$ and upshifts in $v_s$. Through quantile analyses across $|\delta n|/n$ and $|\sigma_c|$, they show that compressibility can shift saturation parameters and even produce helium enhancements beyond traditional saturation values, suggesting a link to transients and PBS/slow-mode dynamics. The work provides a framework for mapping solar wind observations to solar-source regions by jointly considering $A_{He}$, $|\sigma_c|$, and $|\delta n|/n$, revealing that compressibility is a crucial, previously underappreciated control on helium enrichment in interplanetary space.

Abstract

Traditionally, fast solar wind is considered to originate in solar source regions that are continuously open to the heliosphere and slow wind originates in regions that are intermittently open to it. In fast wind, the gradient of the solar wind helium abundance ($A_\mathrm{He}$) with increasing solar wind speed ($v_\mathrm{sw}$) is $\sim0$ and $A_\mathrm{He}$ is fixed at $\sim50\%$ of the photospheric value. In slow wind, this gradient is large, $A_\mathrm{He}$ is highly variable, and it doesn't exceed this $\sim50\%$ value. Although the normalized cross helicity in fast wind typically approaches 1, this is not universally true and Alterman & D'Amicis (2025) show that $\nabla_{v_\mathrm{sw}} \! A_\mathrm{He}$ in fast wind unexpectedly increases with decreasing $\left|σ_c\right|$. We show that these large gradients are due to the presence of compressive fluctuations. Accounting for the solar wind's compressibility ($\left|δn/n\right|$), there are two subsets of enhanced $A_\mathrm{He}$ in excess of typical fast wind values. The subset with a large compressibility is likely from neither continuously nor intermittently open sources. The portion of the solar wind speed distribution over which these fluctuations are most significant corresponds to the range of Alfvén wave-poor solar wind from continuously open source regions, which is likely analogous to the Alfvénic slow wind. Mapping the results of this work to Alterman & D'Amicis (2025) and vice versa shows that, in any given $\left|δn/n\right|$ quantile, $\left|σ_c\right| \lesssim 0.65$, an upper bound on non-Alfvénic cross helicity. Similarly, $\left|δn/n\right| \lesssim 0.15$ in any given $\left|σ_c\right|$ quantile, is an upper bound on incompressible fluctuations. We conclude that $\left|δn/n\right|$ is essential for characterizing the solar wind helium abundance and possibly regulating it.

On the Regulation of the Solar Wind Helium Abundance by the Hydrogen Compressibility

TL;DR

This study demonstrates that the solar wind helium abundance is not set solely by wind speed but is regulated by hydrogen compressibility, as quantified by , and by the Alfvénic content . Using Wind SWE data, the authors identify two helium-rich populations: an incompressible, Alfvénic subset with a saturation at occurring near km s, and a compressible, non-Alfvénic subset that exhibits larger and upshifts in . Through quantile analyses across and , they show that compressibility can shift saturation parameters and even produce helium enhancements beyond traditional saturation values, suggesting a link to transients and PBS/slow-mode dynamics. The work provides a framework for mapping solar wind observations to solar-source regions by jointly considering , , and , revealing that compressibility is a crucial, previously underappreciated control on helium enrichment in interplanetary space.

Abstract

Traditionally, fast solar wind is considered to originate in solar source regions that are continuously open to the heliosphere and slow wind originates in regions that are intermittently open to it. In fast wind, the gradient of the solar wind helium abundance () with increasing solar wind speed () is and is fixed at of the photospheric value. In slow wind, this gradient is large, is highly variable, and it doesn't exceed this value. Although the normalized cross helicity in fast wind typically approaches 1, this is not universally true and Alterman & D'Amicis (2025) show that in fast wind unexpectedly increases with decreasing . We show that these large gradients are due to the presence of compressive fluctuations. Accounting for the solar wind's compressibility (), there are two subsets of enhanced in excess of typical fast wind values. The subset with a large compressibility is likely from neither continuously nor intermittently open sources. The portion of the solar wind speed distribution over which these fluctuations are most significant corresponds to the range of Alfvén wave-poor solar wind from continuously open source regions, which is likely analogous to the Alfvénic slow wind. Mapping the results of this work to Alterman & D'Amicis (2025) and vice versa shows that, in any given quantile, , an upper bound on non-Alfvénic cross helicity. Similarly, in any given quantile, is an upper bound on incompressible fluctuations. We conclude that is essential for characterizing the solar wind helium abundance and possibly regulating it.

Paper Structure

This paper contains 25 sections, 6 equations, 25 figures, 6 tables.

Table of Contents

  1. Introduction
  2. Observations
  3. Analysis
  4. Combining the Solar Wind Speed ($v_\mathrm{sw} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{km \, s^{-1}} }$), Helium Abundance ($A{\IfNoValueF{\mathrm{He}}{_{\mathrm{He}}}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue- \%}$), and Normalized Cross Helicity ($\left| \sigma_{c\IfNoValueF{-NoValue-}{,-NoValue-}} \right| \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue-}$)
  5. $v_\mathrm{sw} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{km \, s^{-1}} }$, $A{\IfNoValueF{\mathrm{He}}{_{\mathrm{He}}}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue- \%}$, and the Solar Wind Compressibility ($\left| \delta n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } / n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } \right| \IfNoValueF{=}{ \IfNoValueTF{}{=}{} {=} }$)
  6. Saturation Fits
  7. Excluding Compressive Solar Wind from $A{\IfNoValueF{\mathrm{He}}{_{\mathrm{He}}}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue- \%} \left({v_\mathrm{sw} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{km \, s^{-1}} } , \left| \sigma_{c\IfNoValueF{-NoValue-}{,-NoValue-}} \right| \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue-} }\right)\IfNoValueF{-NoValue-}{\! = \! -NoValue-}$
  8. Visualizing the Speed Ranges on the Bimodal Distribution of $v_\mathrm{sw} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{km \, s^{-1}} }$ Observed During Solar Minima
  9. Contextualizing Observed $v_\mathrm{sw} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{km \, s^{-1}} }$ and $A{\IfNoValueF{\mathrm{He}}{_{\mathrm{He}}}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue- \%}$ in the $\left( \left| \sigma_{c\IfNoValueF{-NoValue-}{,-NoValue-}} \right| \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue-} , \left| \delta n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } / n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } \right| \IfNoValueF{=}{ \IfNoValueTF{}{=}{} {=} } \right)$ Plane
  10. Contextualizing Observed $\left| \delta n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } / n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } \right| \IfNoValueF{=}{ \IfNoValueTF{}{=}{} {=} }$ in the $\left( \left| \sigma_{c\IfNoValueF{-NoValue-}{,-NoValue-}} \right| \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue-} , A{\IfNoValueF{\mathrm{He}}{_{\mathrm{He}}}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue- \%} \right)$ Parameter Space
  11. Mapping Between $\left| \delta n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } / n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } \right| \IfNoValueF{=}{ \IfNoValueTF{}{=}{} {=} }$ and $\left| \sigma_{c\IfNoValueF{-NoValue-}{,-NoValue-}} \right| \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue-}$
  12. Mapping Quantiles of $\left| \delta n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } / n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } \right| \IfNoValueF{=}{ \IfNoValueTF{}{=}{} {=} }$ to $\left| \sigma_{c\IfNoValueF{-NoValue-}{,-NoValue-}} \right| \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue-}$ with $A_s \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue- \%}$
  13. Mapping Quantiles of $\left| \delta n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } / n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } \right| \IfNoValueF{=}{ \IfNoValueTF{}{=}{} {=} }$ to $\left| \sigma_{c\IfNoValueF{-NoValue-}{,-NoValue-}} \right| \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue-}$ with $v_s \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{km \, s^{-1}} }$
  14. Mapping Quantiles of $\left| \sigma_{c\IfNoValueF{-NoValue-}{,-NoValue-}} \right| \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue-}$ to $\left| \delta n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } / n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } \right| \IfNoValueF{=}{ \IfNoValueTF{}{=}{} {=} }$ with $v_s \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{km \, s^{-1}} }$
  15. Mapping Quantiles of $\left| \sigma_{c\IfNoValueF{-NoValue-}{,-NoValue-}} \right| \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue-}$ to $\left| \delta n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } / n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } \right| \IfNoValueF{=}{ \IfNoValueTF{}{=}{} {=} }$ with $A_s \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue- \%}$
  16. ...and 10 more sections

Figures (25)

  • Figure 1: The helium abundance as a function of solar wind speed. $A{\IfNoValueF{\mathrm{He}}{_{\mathrm{He}}}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue- \%}$ has been normalized to its maximum value in each column. The blue line indicates the mean value of $A{\IfNoValueF{\mathrm{He}}{_{\mathrm{He}}}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue- \%}$ in each column. The dash-dotted green line is a bilinear fit to these means using \ref{['eq:two-line']}. The helium abundance monotonically increases from $0\%$ to $4.19\%$ in slow wind and saturates to this $A{\IfNoValueF{\mathrm{He}}{_{\mathrm{He}}}} \IfNoValueF{4.19}{ \IfNoValueTF{=}{=}{=} 4.19 \%}$in fast solar wind for which $v_\mathrm{sw} \IfNoValueF{433}{ \IfNoValueTF{>}{=}{>} \IfNoValueF{433}{433 \;} \mathrm{km \, s^{-1}} }$.
  • Figure 2: A contour plot of the PDF of $\left| \sigma_{c\IfNoValueF{-NoValue-}{,-NoValue-}} \right| \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue-}$. The columns in the underlying 2D histogram have been normalized to their maximum value. The contour at 0.7 is indicated in black.
  • Figure 3: A plot of $v_\mathrm{sw} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{km \, s^{-1}} }$ as a function of $\left| \sigma_{c\IfNoValueF{-NoValue-}{,-NoValue-}} \right| \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue-}$ and $A{\IfNoValueF{\mathrm{He}}{_{\mathrm{He}}}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue- \%}$ with contours at $v_\mathrm{sw} \IfNoValueF{300}{ \IfNoValueTF{=}{=}{=} 300}$and $\IfNoValueF{460}{460 \;} \mathrm{km \, s^{-1}}$. Wind:SWE:ahe:xhel considers helium-poor solar wind with $A{\IfNoValueF{\mathrm{He}}{_{\mathrm{He}}}} \IfNoValueF{A_s \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue- \%} }{ \IfNoValueTF{<}{=}{<} A_s \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue- \%} }$ to originate in intermittently open source regions and Alfvénic solar wind with $\left| \sigma_{c\IfNoValueF{-NoValue-}{,-NoValue-}} \right| \IfNoValueF{0.7}{ \IfNoValueTF{>}{=}{>} 0.7}$in the red region to originate in continuously open source regions. That work hypothesizes that the speed enhancement of non-Alfvénic, helium rich solar wind in the top left corner of the plot is due to transients.
  • Figure 4: A contour plot of the PDF of $\left| \delta n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } / n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } \right| \IfNoValueF{=}{ \IfNoValueTF{}{=}{} {=} } \left({v_\mathrm{sw} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{km \, s^{-1}} } }\right)\IfNoValueF{-NoValue-}{\! = \! -NoValue-}$. In the underlying 2D histogram, the frequency of observing $\left| \delta n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } / n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } \right| \IfNoValueF{=}{ \IfNoValueTF{}{=}{} {=} }$ in each column is normalized to its maximum value. The contours are smoothed with a $1\sigma$ Gaussian kernel for visual clarity.
  • Figure 5: A contour plot of the PDF of $\left| \delta n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } / n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } \right| \IfNoValueF{=}{ \IfNoValueTF{}{=}{} {=} } \left({v_\mathrm{sw} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{km \, s^{-1}} } , \left| \sigma_{c\IfNoValueF{-NoValue-}{,-NoValue-}} \right| \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} -NoValue-} }\right)\IfNoValueF{-NoValue-}{\! = \! -NoValue-}$. Average $\left| \delta n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } / n \IfNoValueF{-NoValue-}{_{-NoValue-}} \IfNoValueF{-NoValue-}{ \IfNoValueTF{=}{=}{=} \IfNoValueF{-NoValue-}{-NoValue- \;} \mathrm{cm^{-3}} } \right| \IfNoValueF{=}{ \IfNoValueTF{}{=}{} {=} }$ is calculated as the logarithmic mean. Contours are smoothed with a $1\sigma$ Gaussian kernel for visual clarity. The purple line is the 0.7 contour from \ref{['fig:vsw:xhel']}.
  • ...and 20 more figures