Aging of anisotropy of solar wind magnetic fluctuations in the inner heliosphere
M. E. Ruiz (Instituto de Astronom\'ia y F\'isica del Espacio, (CONICET-Universidad de Buenos Aires), Argentina), S. Dasso (Instituto de, Astronom\'ia y F\'isica del Espacio (CONICET-Universidad de Buenos Aires) and, Departamento de F\'isica

TL;DR
This study investigates how the anisotropy of magnetic turbulence in the solar wind evolves from near the Sun to 1 AU, revealing a transition from slab-like to more isotropic and quasi-2D turbulence structures.
Contribution
It provides the first comprehensive analysis of the evolution of magnetic fluctuation anisotropy in the inner heliosphere using Helios data, highlighting the transition from parallel to perpendicular dominant wavevectors.
Findings
Near the Sun, _ < _, supporting a slab-like turbulence model.
At 1 AU, _ > _, indicating a shift towards quasi-2D turbulence.
The anisotropy transition suggests energy transfer from parallel to perpendicular wavevectors as solar wind ages.
Abstract
We analyze the evolution of the interplanetary magnetic field spatial structure by examining the inner heliospheric autocorrelation function, using Helios 1 and Helios 2 "in situ" observations. We focus on the evolution of the integral length scale (\lambda) anisotropy associated with the turbulent magnetic fluctuations, with respect to the aging of fluid parcels traveling away from the Sun, and according to whether the measured \lambda is principally parallel (\lambda_parallel) or perpendicular (\lambda_perp) to the direction of a suitably defined local ensemble average magnetic field B0. We analyze a set of 1065 24-hour long intervals (covering full missions). For each interval, we compute the magnetic autocorrelation function, using classical single-spacecraft techniques, and estimate \lambda with help of two different proxies for both Helios datasets. We find that close to the Sun,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
