The Temperature and First Ionization Potential Bias of Active Regions and Their Relations to In Situ Solar Wind

Abstract Active regions (ARs) are important sources of the slow solar wind. Connecting the properties of ARs and their associated solar wind can improve our understanding of the origin and generation mechanisms of the slow solar wind. In this study, we compare the physics properties of the AR upflow regions and nonupflow regions. The relationships between the properties of these regions and the associated solar wind parameters are analyzed. We find that the electron densities of the upflow regions are significantly lower than those of the nonupflow regions. The temperatures of the upflow regions are generally close to those of the nonupflow regions. The first ionization potential (FIP) bias varies significantly among different ARs. The FIP bias of upflow regions and that of nonupflow regions are generally similar for the same AR. The FIP bias of both upflow and nonupflow regions positively correlates with their associated solar wind. There is no relationship between the solar wind O 7+ /O 6+ and the temperature of the source regions. The results suggest that in the upflow regions, the magnetic reconnection between closed loops and open field lines may be important for generating the nascent slow solar wind. We conclude that it is unreliable to infer the temperatures of ARs directly from the O 7+ /O 6+ ratios of the in situ solar wind.

Authors

Publication Details

Journal
The Astrophysical Journal
Published
2025-04-23
DOI
https://doi.org/10.3847/1538-4357/adc1b8
Primary Topic
Solar and Space Plasma Dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Temperature and First Ionization Potential Bias of Active Regions and Their Relations to In Situ Solar Wind

Chi Ma, Hui Fu, Zhenghua Huang, M. S. Madjarska et al.
1 links
The Astrophysical Journal
Solar and Space Plasma Dynamics
article

The Temperature and First Ionization Potential Bias of Active Regions and Their Relations to In Situ Solar Wind

Chi Ma, Hui Fu, Zhenghua Huang, M. S. Madjarska, Lidong Xia, Haixia Xie
article en

Abstract

Abstract Active regions (ARs) are important sources of the slow solar wind. Connecting the properties of ARs and their associated solar wind can improve our understanding of the origin and generation mechanisms of the slow solar wind. In this study, we compare the physics properties of the AR upflow regions and nonupflow regions. The relationships between the properties of these regions and the associated solar wind parameters are analyzed. We find that the electron densities of the upflow regions are significantly lower than those of the nonupflow regions. The temperatures of the upflow regions are generally close to those of the nonupflow regions. The first ionization potential (FIP) bias varies significantly among different ARs. The FIP bias of upflow regions and that of nonupflow regions are generally similar for the same AR. The FIP bias of both upflow and nonupflow regions positively correlates with their associated solar wind. There is no relationship between the solar wind O 7+ /O 6+ and the temperature of the source regions. The results suggest that in the upflow regions, the magnetic reconnection between closed loops and open field lines may be important for generating the nascent slow solar wind. We conclude that it is unreliable to infer the temperatures of ARs directly from the O 7+ /O 6+ ratios of the in situ solar wind.

The Astrophysical JournalVol. 984(1)
National Research Foundation of Korea
Openalex Percentile: Top 94%
Solar and Space Plasma Dynamics
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.