1 / 19

Determination of 3D CME Trajectories using Stereoscopy

Determination of 3D CME Trajectories using Stereoscopy. Paulett Liewer, Jeff Hall, Eric DeJong, JPL Vahab Pournaghsband, UCB Arnaud Thernisien and Russ Howard, NR L SECCHI Consortium, Orsay, March 2007. Summary. STEREO/SECCHI will provide stereoscopic

topaz
Télécharger la présentation

Determination of 3D CME Trajectories using Stereoscopy

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Determination of 3D CME Trajectories using Stereoscopy Paulett Liewer, Jeff Hall, Eric DeJong, JPL Vahab Pournaghsband, UCB Arnaud Thernisien and Russ Howard, NRL SECCHI Consortium, Orsay, March 2007

  2. Summary STEREO/SECCHI will provide stereoscopic images of CME propagation from the Sun to Earth • We use synthetic stereoscopic white light image pairs to test 3D trajectory determination using “triangulation” • Image sequences created from flux rope CME model by A. Thernisien, et al (ApJ 2006) • We obtained good agreement with model parameters for CME velocity, longitude and latitude for 6 blind tests • We address why triangulation works on “features” resulting from LOS integration

  3. STEREO/SECCHI has 5 Telescopes1 EUV & 4 White Light

  4. CME Model & Synthetic White Light Images A. Thernisien, et al ApJ 2006 • Start with Flux Rope Model CME with density only near surface. CME moves out radially at constant prescribed velocity • Assume a spacecraft separation & calculate time sequence for 3 SECCHI FOVs • Calculate white light images using Thomson scattering Left: view along LOS arrow shown in on right. Black disk is occultor. From Thernisien et al 2006

  5. CME Blind Tests • Thernisien gave us 7 CME cases: • White lights images for COR2, HI1 & HI2 for SC A&B (time sequence of stereo pairs) • SC locations (longitudes, latitude, and distance from Sun) • CME direction and velocity unknown • We used tiepointing, loop tracing and triangulation to track these model CMEs

  6. 2008 07 08 17:04:38 UT SC B Earth -x SC A 2008 07 09 10:43:44 UT Sample Synthetic White Light Image SequenceEach frame shows A&B SC + 3 FOVs (Cor2, Hi1, Hi2) (a) (b) A/Hi2 A/Hi1 A/Cor2 B/Cor2 B/Hi1 B/Hi2 2008 07 08 14:33:18 UT (c) (d) y Sim 03 -separation 110°

  7. cor2/B cor2/A 3D Reconstruction of CME Loop • Step 1: User selects ‘seed’ point (X) on the bright CME leading edge in each image of the stereo pair with cursor • tool restricts movement to same latitude sim04_144046_ Repeated for each stereo pair in time sequence Step 2: Routine sunloop traces bright “loop” and uses triangulation on points on the loop to obtain 3D reconstruction of the arcs in the two images

  8. Step 3: View the Results of the 3D Reconstruction • Tool creates a 3D object: the reconstructed leading edge • 3D object can be rotated with cursor/trackball Note: Original model was a 3D flux tube surface whereas our reconstruction is a curve in 3D Here, CME leading edge at two times • Edge coordinates are also written to an ascii file • Files analyzed to find Rmax and its latitude & longitude to track “location” of CME vs time

  9. SC B Earth -x y Tracked and Model Trajectories Radius, Velocity vs Time (model is dashed line) Latitude & Longitude at different times Model X C2 + H1 * H2  SC A Sim 03 again

  10. Summary Results from Six Simulations Very good agreement: <10% error on velocities and < 10º on latitude and longitude for most Why are the results so good? Bright leading edge is a LOS effect!

  11. Why does this work? • Stereoscopy works when tiepoint same feature from 2 viewpoints • CME bright leading edge is not a real feature, but rather a result of LOS integration through a diffuse object

  12. y SC B 60° +20° x -20° SC A COR2 - SC B at +20° COR2 - SC A at -20° Early Test on hemisphere CME for Tiepointing Bright Leading Edge Result: • Leading Edge at 15.1 Rsun vs actual 15 Rsun • Angle of 72° vs actual 60°

  13. Consider Large SC Separations with CME in between SC A y x SC B

  14. Consider Large SC Separations SC A y x SC B

  15. Consider Large SC Separations SC A Increasing Separation Angle • Brings tangent points closer together • LOS “tiepoint” moves closer to true leading edge y x SC B SIMS 1,3,4,5,6 had separation ≥ 90 degrees

  16. A/Hi2 A/Hi1 A/Cor2 y B/Cor2 B/Hi1 B/Hi2 Earth x SC B SC A Lines cross (1) out front of CME and (2) At larger (towards 360 °) longitude as obtained with tracking Sim02 had largest error in LongitudeEach frame shows A&B SC + 3 FOVs (Cor2, Hi1, Hi2) (a) Sim 02- separation 75°, latitude=64° Model longitude 313 ° Tracked longitude 335 ° (b)

  17. y Earth x SC B SC A Sim02: Tracked & Model Trajectories Radius, Velocity vs Time (model is dashed line) Latitude & Longitude at different times Model X C2 + H1 * H2  separation 75° Lines cross (1) out front of CME and (2) At larger longitude, as obtained with tracking

  18. Sim07: New case with 30º separation • We are still analyzing this case • For this much smaller separation angle case, Sunloop automatic loop tracing led to false solution • Reconstructed curve was off by very large angles (50-70°) in both latitude and longitude • Tiepointing WITHOUT use of automatic loop tracing gave good results • More to do!

  19. Conclusions • Can determine CME trajectory (speed, direction) using stereoscopy on white light images for large separation angles • For large angles, errors relatively small - <10% on velocity, a few degrees on direction • Size of error depends on viewing geometry • Now analyzing results for smaller separation angles • Ready to test on STEREO/SECCHI data! • May lead to improved Space Weather prediction

More Related