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Investigating the Magnetic Imprints of Major Solar Eruptions with SDO/HMI High-cadence Vector Magnetograms
被引:43
|作者:
Sun, Xudong
[1
]
Hoeksema, J. Todd
[1
]
Liu, Yang
[1
]
Kazachenko, Maria
[2
]
Chen, Ruizhu
[1
,3
]
机构:
[1] Stanford Univ, WW Hansen Expt Phys Lab, Stanford, CA 94305 USA
[2] Univ Calif Berkeley, Space Sci Lab, Berkeley, CA 94720 USA
[3] Stanford Univ, Dept Phys, Stanford, CA 94305 USA
来源:
基金:
美国国家科学基金会;
关键词:
Sun: flares;
Sun: magnetic fields;
Sun: photosphere;
2011;
FEBRUARY;
15;
CORONAL FLUX ROPES;
2003;
OCTOBER;
28;
X-CLASS FLARES;
FIELD CHANGES;
LORENTZ FORCE;
X2.2;
FLARE;
SEISMIC EMISSION;
ACTIVE REGIONS;
ABRUPT CHANGES;
D O I:
10.3847/1538-4357/aa69c1
中图分类号:
P1 [天文学];
学科分类号:
0704 ;
摘要:
The solar active region photospheric magnetic field evolves rapidly during major eruptive events, suggesting appreciable feedback from the corona. Previous studies of these "magnetic imprints" are mostly based on line. of sight only or lower-cadence vector observations; a temporally resolved depiction of the vector field evolution is hitherto lacking. Here, we introduce the high-cadence (90 s or 135 s) vector magnetogram data set from the Helioseismic and Magnetic Imager, which is well suited for investigating the phenomenon. These observations allow quantitative characterization of the permanent, step-like changes that are most pronounced in the horizontal field component (B-h). A highly structured pattern emerges from analysis of an archetypical event, SOL2011-02-15T01: 56, where B-h near the main polarity inversion line increases significantly during the earlier phase of the associated flare with a timescale of several minutes, while B-h in the periphery decreases at later times with smaller magnitudes and a slightly longer timescale. The data set also allows effective identification of the "magnetic transient" artifact, where enhanced flare emission alters the Stokes profiles and the inferred magnetic field becomes unreliable. Our results provide insights on the momentum processes in solar eruptions. The data set may also be useful to the study of sunquakes and data-driven modeling of the corona.
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