The correlation function for magnetic field fluctuations at ion dissipation scales in the solar wind.
Published in Journal of Geophysical Research: Space Physics, 2025
Recommended citation: Angeles, A. J. G., Spence, H. E., Smith, C. W., Vasquez, B. J., Cohen, I. J., Genestreti, K. J., Skoug, R., Raptis, S., et al. (2025). The correlation function for magnetic field fluctuations at ion dissipation scales in the solar wind. Journal of Geophysical Research: Space Physics, 130, e2025JA034569 https://doi.org/10.1029/2025JA034569
Abstract
This study investigates energy dissipation in small-scale solar wind turbulence using a novel approach to autocorrelation function analysis leveraging high-resolution data from the Magnetospheric Multiscale Mission (MMS). We analyze magnetic field fluctuations at ion dissipation scales, focusing on short 20-s intervals to isolate dissipation-scale dynamics. Using MMS’s fluxgate magnetometer, fast plasma investigation, and energetic particle detector, we compute normalized correlation functions as functions of the interplanetary magnetic field cone angle. Our results show that turbulence is correlated over short spatial scales (100–1,000 km), with shorter correlation lengths in the compressional component compared to the transverse components. We find that the transverse correlation lengths differ most when the interplanetary magnetic field is nearly perpendicular to the solar wind flow (cone angle ), and that they vary approximately as the inverse sine of the cone angle. The characteristics of the correlation length suggest that the turbulence observed is primarily two-dimensional. These findings highlight the anisotropic nature of dissipation-scale turbulence and its dependence on solar wind conditions, providing insights into energy transfer in space plasmas.
BibTeX
@article{angeles2025correlation,
author = {Angeles, Alvin J. G. and Spence, Harlan E. and Smith, Charles W. and Vasquez, Bernard J. and Cohen, Ian J. and Genestreti, Kevin J. and Skoug, Ruth and Raptis, Savvas and Gabrielse, Christine and Gershman, Daniel J. and Fischer, David and Russell, Christopher T. and Burch, James L. and Torbert, Roy B. and Magnes, Werner},
title = {The Correlation Function for Magnetic Field Fluctuations at Ion Dissipation Scales in the Solar Wind},
journal = {Journal of Geophysical Research: Space Physics},
volume = {130},
number = {12},
pages = {e2025JA034569},
keywords = {solar wind, turbulence, correlation function, dissipation range, sub-ion, MMS},
doi = {https://doi.org/10.1029/2025JA034569},
url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2025JA034569},
eprint = {https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2025JA034569},
note = {e2025JA034569 2025JA034569},
abstract = {Abstract This study investigates energy dissipation in small-scale solar wind turbulence using a novel approach to autocorrelation function analysis leveraging high-resolution data from the Magnetospheric Multiscale Mission (MMS). We analyze magnetic field fluctuations at ion dissipation scales, focusing on short 20-s intervals to isolate dissipation-scale dynamics. Using MMS's fluxgate magnetometer, fast plasma investigation, and energetic particle detector, we compute normalized correlation functions as functions of the interplanetary magnetic field cone angle. Our results show that turbulence is correlated over short spatial scales ( \${\sim} \$100–1,000 km), with shorter correlation lengths in the compressional component compared to the transverse components. We find that the transverse correlation lengths differ most when the interplanetary magnetic field is nearly perpendicular to the solar wind flow (cone angle \${\sim} 90{}^{\circ}\$), and that they vary approximately as the inverse sine of the cone angle. The characteristics of the correlation length suggest that the turbulence observed is primarily two-dimensional. These findings highlight the anisotropic nature of dissipation-scale turbulence and its dependence on solar wind conditions, providing insights into energy transfer in space plasmas.},
year = {2025}
}