Automated detection of small-scale magnetic flux ropes in the solar wind: First results from the Wind spacecraft measurements
Qiang Hu, Jinlei Zheng, Yu Chen, Jakobus le Roux, and Lulu Zhao

TL;DR
This study introduces a new automated method to detect small-scale magnetic flux ropes in solar wind data, resulting in a large database that reveals their solar cycle dependence, spatial distribution, and statistical properties.
Contribution
The paper presents the first large-scale automated detection algorithm for small-scale magnetic flux ropes using the Grad-Shafranov technique, uncovering over 74,000 events from Wind spacecraft data.
Findings
Flux ropes show strong solar cycle dependence.
They tend to align along the Parker spiral.
Distribution of durations and sizes follows a power law.
Abstract
We have developed a new automated small-scale magnetic flux rope (SSMFR) detection algorithm based on the Grad-Shafranov (GS) reconstruction technique. We have applied this detection algorithm to the Wind spacecraft in-situ measurements during 1996 - 2016, covering two solar cycles, and successfully detected a total number of 74,241 small-scale magnetic flux rope events with duration from 9 to 361 minutes. This large number of small-scale magnetic flux ropes has not been discovered by any other previous studies through this unique approach. We perform statistical analysis of the small-scale magnetic flux rope events based on our newly developed database, and summarize the main findings as follows. (1) The occurrence of small-scale flux ropes has strong solar cycle dependency with a rate of a few hundreds per month on average. (2) The small-scale magnetic flux ropes in the ecliptic plane…
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