English

Solar Wind Structures from the Gaussianity of Magnetic Magnitude

Space Physics 2024-12-16 v2 Solar and Stellar Astrophysics

Abstract

One of the primary science objectives of Parker Solar Probe (PSP) is to determine the structures and dynamics of the plasma and magnetic fields at the sources of the solar wind. However, establishing the connection between {\it in situ} measurements and structures and dynamics in the solar atmosphere is challenging: most of the magnetic footpoint mapping techniques have significant uncertainties in the source localization of a plasma parcel observed {\it in situ}, and the PSP plasma measurements suffer from a limited field of view. Therefore it is of interest to investigate whether {\it in situ} measurements can be used on their own to identify streams originating from the same structures in the corona more finely than the well known fast wind-coronal hole, slow wind-elsewhere distinction. Here we develop a novel time series visualization method \textcolor{red}{(time-frequency representation or TFR)} named Gaussianity Scalogram. Utilizing this method, by analyzing the magnetic magnitude data from both PSP and Ulysses, we successfully identify {\it in situ} structures that are possible remnants of solar atmospheric and magnetic structures spanning more than seven orders of magnitude, from years to seconds, including polar and mid-latitude coronal holes, as well as structures compatible with super-granulation , ``jetlets'' and ``picoflares''. \textcolor{red}{Furthermore, computer simulations of Alfv\'enic turbulence successfully reproduce the Gaussianization of the magnetic magnitude for locally homogeneous structures.} Building upon these discoveries, the Gaussianity Scalogram can help future studies to reveal the fractal-like fine structures in the solar wind time series from both PSP and decades-old data archive.

Keywords

Cite

@article{arxiv.2312.08669,
  title  = {Solar Wind Structures from the Gaussianity of Magnetic Magnitude},
  author = {Zesen Huang and Chen Shi and Marco Velli and Nikos Sioulas and Olga Panasenco and Trevor Bowen and Lorenzo Matteini and Mingtao Xia and Xiaofei Shi and Sheng Huang and Jia Huang and Lizet Casillas},
  journal= {arXiv preprint arXiv:2312.08669},
  year   = {2024}
}

Comments

Accepted by ApJL