Time-Distance Imaging of Solar Far-Side Active Regions
arXiv:0706.2886 · doi:10.1086/520837
Abstract
It is of great importance to monitor large solar active regions in the far-side of the Sun for space weather forecast, in particular, to predict their appearance before they rotate into our view from the solar east limb. Local helioseismology techniques, including helioseismic holography and time-distance, have successfully imaged solar far-side active regions. In this Letter, we further explore the possibility of imaging and improving the image quality of solar far-side active regions by use of time-distance helioseismology. In addition to the previously used scheme with four acoustic signal skips, a five-skip scheme is also included in this newly developed technique. The combination of both four- and five-skip far-side images significantly enhances the signal-to-noise ratio in the far-side images, and reduces spurious signals. The accuracy of the far-side active region imaging is also assessed using one whole year solar observation.
13 pages, 5 figures, accepted by ApJ Letters
References in corpus (1)
Cited by in corpus (20)
- Local Helioseismology: Three Dimensional Imaging of the Solar Interior
- Time--Distance Helioseismology Data Analysis Pipeline for Helioseismic and Magnetic Imager onboard Solar Dynamics Observatory (SDO/HMI) and Its Initial Results
- Solar forcing of the terrestrial atmosphere
- Validating Time-Distance Far-side Imaging of Solar Active Regions through Numerical Simulations
- Imaging the Sun's Far-Side Active Regions by Applying Multiple Measurement Schemes on Multi-Skip Acoustic Waves
- Comparison of Helioseismic Far-side Active Region Detections with STEREO Far-Side EUV Observations of Solar Activity
- Time-Distance Solar Far-Side Imaging Using Three-Skip Acoustic Signals
- Imaging the Solar Tachocline by Time-Distance Helioseismology
- Imaging individual active regions on the Sun's far side with improved helioseismic holography
- Improved detection of farside solar active regions using deep learning
- Inferring Maps of the Sun's Far-side Unsigned Magnetic Flux from Far-side Helioseismic Images using Machine Learning Techniques
- Direct assessment of SDO/HMI helioseismology of active regions on the Sun's far side using SO/PHI magnetograms
- Performance of solar far-side active regions neural detection
- Green's functions for far-side seismic images: a polar expansion approach
- Probabilistic Inversions for Time-Distance Helioseismology
- FarNet-II: An improved solar far-side active region detection method
- Analysis of Time-Distance Helioseismology for Detection of Emerging Active Regions
- Local helioseismology and the active Sun
- Computing Helioseismic Sensitivity Kernels for the Sun's Large-Scale Internal Flows using Global-Scale Wave-Propagation Simulations
- Long-Term Variation of Helioseismic Far-Side Images and What Causes It