Evidence of nonlinear signatures in the solar wind proton density at the L1 Lagrange point

Context. The solar wind is a medium characterized by strong turbulence and significant field fluctuations on various scales. Recent observations have revealed that magnetic turbulence exhibits a self-similar behavior. Similarly, high-resolution measurements of the proton density have shown comparable characteristics, prompting several studies of the multifractal properties of these density fluctuations. Aims. This work aims to investigate whether low-resolution measurements of the solar wind proton density exhibit nonlinear and multifractal structures. We also aim to interpret these features within the framework of non-extensive statistical mechanics. Methods. We performed a systematic analysis of hourly resolution proton density data obtained from various spacecraft located at the Lagrange point L1, recorded over 17 years. We analyzed the multifractal nature of the fluctuations and tested for consistency with the q-triplet formalism from non-extensive statistical mechanics. Results. We find that low-resolution solar wind proton density data also display nonlinear and multifractal signatures. Our analysis provides a validation of the q-triplet predicted by non-extensive statistical theory. To the best of our knowledge, this represents the most rigorous and systematic validation to date of the q-triplet in the solar wind.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-08-15
DOI
https://doi.org/10.1051/0004-6361/202555358/pdf
Primary Topic
Pasture and Agricultural Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evidence of nonlinear signatures in the solar wind proton density at the L1 Lagrange point

Springer Link (Chiba Institute of Technology)
Pasture and Agricultural Systems
article

Evidence of nonlinear signatures in the solar wind proton density at the L1 Lagrange point

article en

Abstract

Context. The solar wind is a medium characterized by strong turbulence and significant field fluctuations on various scales. Recent observations have revealed that magnetic turbulence exhibits a self-similar behavior. Similarly, high-resolution measurements of the proton density have shown comparable characteristics, prompting several studies of the multifractal properties of these density fluctuations. Aims. This work aims to investigate whether low-resolution measurements of the solar wind proton density exhibit nonlinear and multifractal structures. We also aim to interpret these features within the framework of non-extensive statistical mechanics. Methods. We performed a systematic analysis of hourly resolution proton density data obtained from various spacecraft located at the Lagrange point L1, recorded over 17 years. We analyzed the multifractal nature of the fluctuations and tested for consistency with the q-triplet formalism from non-extensive statistical mechanics. Results. We find that low-resolution solar wind proton density data also display nonlinear and multifractal signatures. Our analysis provides a validation of the q-triplet predicted by non-extensive statistical theory. To the best of our knowledge, this represents the most rigorous and systematic validation to date of the q-triplet in the solar wind.

Springer Link (Chiba Institute of Technology)
Affordable and clean energy
Openalex Percentile: Top 45%
Pasture and Agricultural Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Evidence of nonlinear signatures in the solar wind proton density at the L1 Lagrange point · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS