Demonstration of a technique for stereoscopic tracking of CMEs for NASA's STEREO Mission

Details Demonstration of a technique for stereoscopic tracking of CMEs for NASA's STEREO Mission Demonstration of a technique for stereoscopic tracking of CMEs for NASA's STEREO Mission

Dec 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006agufmsh51a1472l&link_type=abstract

American Geophysical Union, Fall Meeting 2006, abstract #SH51A-1472

Physics

2101 Coronal Mass Ejections (7513), 2111 Ejecta, Driver Gases, And Magnetic Clouds, 2194 Instruments And Techniques, 7513 Coronal Mass Ejections (2101), 7594 Instruments And Techniques

Scientific paper

We use synthetic stereoscopic coronagraph images to demonstrate and validate a technique for determining the 3D trajectory (speed and direction) of coronal mass ejections using stereoscopy and triangulation. This will be used to determine the trajectory of CMEs captured in stereo by the SECCHI coronagraphs and heliospheric imagers on STEREO. The technique make use of a tool previously developed for determining the 3D structure of coronal loops from stereoscopic image pairs such as will be returned by the EUV telescope on SECCHI/STEREO. For EUV coronal loops, the user first "seeds" the tool by selecting the same coronal loop in the two images of a stereoscopic pair. The tool, then, uses loop tracing algorithms and triangulation techniques to obtain the three-dimensional (x,y,z) coordinates of points on the loop. As long as the same emitting loop can be identified in both EUV images, triangulation is expected to work because the EUV images capture emission from localized regions. This is not the case for white light images of CMEs, which capture scattered light from an extended volume. Even though line of sight (LOS) effects dominate the observed structure seen in white light images of CME, we find that by "tiepointing" the bright leading edge of the CME in both images of a stereo pair, we are able to determine the 3D trajectory with reasonable accuracy. We will present comparisons of the 3D trajectories determined from the synthetic white light images with those used to create the images. The accuracy and limitations of this approach will also be discussed.

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