Imaging individual active regions on the Sun's far side with improved helioseismic holography
Dan Yang, Laurent Gizon, and H\'el\`ene Barucq

TL;DR
This paper enhances helioseismic holography for detecting and monitoring medium-sized active regions on the Sun's far side by employing a comprehensive Green's function approach and full observational data, leading to higher detection confidence.
Contribution
The study introduces an improved helioseismic holography method using an accurate frequency domain Green's function and full observational data, increasing detection accuracy of far-side active regions.
Findings
Detection rate of 75% for active regions above 1/1000th of the hemisphere.
False discovery rate as low as 7%.
Active regions can be monitored daily on the far side.
Abstract
Helioseismic holography is a useful method to detect active regions on the Sun's far side and improve space weather forecasts. We aim to improve helioseismic holography by using a clear formulation of the problem, an accurate forward solver in the frequency domain, and a better understanding of the noise properties. Building on the work of Lindsey et al., we define the forward- and backward-propagated wave fields (ingression and egression) in terms of a Green's function. This Green's function is computed using an accurate forward solver in the frequency domain. We analyse overlapping segments of 31 hr of SDO/HMI dopplergrams, with a cadence of 24 hr. Phase shifts between the ingression and the egression are measured and averaged to detect active regions on the far side. The phase maps are compared with direct EUV intensity maps from STEREO/EUVI. We confirm that medium-size active…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Stellar, planetary, and galactic studies · Geophysics and Gravity Measurements
