1 Determination of 3D CME Trajectories using Stereoscopy Paulett Liewer, Jeff Hall, Eric DeJong, JPL Vahab Pournaghsband, UCB Arnaud Thernisien and Russ.

Slides:



Advertisements
Similar presentations
Physics: Principles with Applications, 6th edition
Advertisements

ICMEs and Magnetic Clouds Session Summary Charlie Farrugia and Lan Jian.
Valbona Kunkel June 18, 2013 Hvar, Croatia NEW THEORITICAL WORK ON FLUX ROPE MODEL AND PROPERTIES OF MAGNETIC FIELD.
By: Estarlyn Hiraldo and Uri-Jaun Hall Contributors: Noe Lugaz, Devin Thomas Introduction Using images from stereo spacecrafts, we predicted arrival.
Reviewing the Summer School Solar Labs Nicholas Gross.
M. J. Reiner, 1 st STEREO Workshop, March, 2002, Paris.
7 March th SECCHI Consortium Meeting Observing prominence dynamics with STEREO David Alexander, Rui Liu, and Holly Gilbert Rice University
CME-driven Shocks in White Light Observations SOHO/LASCO C3 – CME May 5 th, 1999 CME-driven Shock We demonstrate that CME-driven shocks: (1) can be detected.
Errors in Viking Lander Atmospheric Profiles Discovered Using MOLA Topography Withers, Lorenz, and Neumann LPSC 2002 Abstract #1294 Abstract’s Abstract:
3D Stereoscopic Reconstruction of CMEs by Forward Modeling 5th Consortium STEREO-SECCHI Meeting Orsay, March 2007 Y.BOURSIER – P.LAMY – F.GOUDAIL - A.LLEBARIA.
ZEC Model parameters of Halo CMEs Xuepu Zhao Jan. 18, 2011.
5 th SECCHI Consortium Meeting, May Tomographic Reconstruction of CMEs from White Light Coronagraph Data Tomographic Reconstruction of CMEs from.
Center for Space Environment Modeling W. Manchester 1, I. Roussev, I.V. Sokolov 1, 1 University of Michigan AGU Berkeley March.
Analysis of a position vs. time graph Analysis of a velocity vs. time graph What can be determined from a position vs. time graph? What can be determined.
Characterization of Coronal Mass Ejection Deflection using Coronagraph Image Sequences Jenna L. Zink, GMU Undergraduate Research Scholars Program, Rebekah.
Why a Sun-Earth line Coronagraph is Best Doug Biesecker NOAA/SWPC.
What stellar properties can be learnt from planetary transits Adriana Válio Roque da Silva CRAAM/Mackenzie.
Adriana V. R. Silva CRAAM/Mackenzie COROT /11/2005.
Detecting EUV waves Detecting Dimmings www. SolarDemon.oma.be near real-time, Flare, Dimming, and EUV wave Monitoring E. Kraaikamp 1, C. Verbeeck 1, and.
1 Interpreting SECCHI White Light Images: FOV Sensitivity & Stereo Viewing Paulett Liewer, JPL; Russ Howard & Dennis Socker, NRL SECCHI Consortium Meeting.
3D Heliospheric Reconstructions from the SECCHI White Light Coronagraphs Onboard STEREO: Overview of the NRL Approach J. Newmark, J. Cook, P. Reiser, P.
Evolution of the 2012 July 12 CME from the Sun to the Earth: Data- Constrained Three-Dimensional MHD Simulations F. Shen 1, C. Shen 2, J. Zhang 3, P. Hess.
Assessing Predictions of CME Time- of-Arrival and 1 AU Speed to Observations Angelos Vourlidas Vourlidas- SHINE
Locating the solar source of 13 April 2006 Magnetic Cloud K. Steed 1, C. J. Owen 1, L. K. Harra 1, L. M. Green 1, S. Dasso 2, A. P. Walsh 1, P. Démoulin.
PCL SECCHI - 1 SECCHI - Visualization & Analysis Tools for Images from Two Spacecraft Paulett Liewer-JPL, John Cook-NRL and SECCHI Team STEREO Science.
1 Determination of CME 3D Trajectories using COR Stereoscopy + Analysis of HI1 CME Tracks P. C. Liewer, E. M. DeJong, J. R. Hall, JPL/Caltech; N. Sheeley,
RECREATING THE THREE DIMENSIONAL STRUCTURE OF INTERPLANETARY CORONAL MASS EJECTIONS Timothy A. Howard and S. James Tappin AGU Fall Meeting, December,
1 THE RELATION BETWEEN CORONAL EIT WAVE AND MAGNETIC CONFIGURATION Speakers: Xin Chen
© 2005 Pearson Prentice Hall This work is protected by United States copyright laws and is provided solely for the use of instructors in teaching their.
Chapter 2 Describing Motion: Kinematics in One Dimension.
Arrival time of halo coronal mass ejections In the vicinity of the Earth G. Michalek, N. Gopalswamy, A. Lara, and P.K. Manoharan A&A 423, (2004)
1 3D Sun Loop Trace: A Tool for Stereoscopy of Coronal Loops for STEREO Jean Lorre Jeff Hall Paulett Liewer Parth Sheth Eric DeJong Jet Propulsion Laboratory.
New STEREO/SECCHI Processing for Heliospheric Transients David F. Webb ISR, Boston College, MA, USA New England Space Science Consortium.
The Solar Wind.
Introduction to Space Weather Jie Zhang CSI 662 / PHYS 660 Spring, 2012 Copyright © The Heliosphere: The Solar Wind March 01, 2012.
CASS/UCSD - Jeju 2015 A Jets in the Heliosphere: A Solar Wind Component B.V. Jackson, H.-S. Yu, P.P. Hick, and A. Buffington, Center for Astrophysics and.
1 Solar stereoscopy - where we are and which developments do we require to progress? Thomas Wiegelmann, Bernd Inhester, Li Feng, Judith de Patoul.
Lessons for STEREO - learned from Helios Presented at the STEREO/Solar B Workshop, Rainer Schwenn, MPS Lindau The Helios.
© 2005 Pearson Prentice Hall This work is protected by United States copyright laws and is provided solely for the use of instructors in teaching their.
Chapter 2 Describing Motion: Kinematics in One Dimension © 2014 Pearson Education, Inc.
SECCHI 3D Reconstruction Efforts at NRL Angelos Vourlidas Naval Research Laboratory With inputs from: R. Howard, J. Newmark, J. Cook, P. Reiser.
Strong rotation of an erupting quiescent polar crown prominence W. T. Thompson Adnet Systems, Inc. NASA/GSFC.
Fast Magnetosonic Waves and Global Coronal Seismology in the Extended Solar Corona Ryun Young Kwon, Jie Zhang, Maxim Kramar, Tongjiang Wang, Leon Ofman,
Latitude and Longitude An Overview. Changing Perspectives People normally see the world from the perspective of standing on the surface of the earth To.
1 Stereographic Analysis of Coronal Features for the STEREO Mission Eric De Jong, Paulett Liewer, Jeff Hall, Jean Lorre, Shigeru Suzuki and the SECCHI.
Xie – STEREO SWG – Dublin – March 2010 Low Mass Coronal Mass Ejections Missed by STEREO A/B or LASCO and Associated ICMEs H. Xie 1,2, O. C. St. Cyr 2,
Doug Biesecker NOAA/Space Environment Center. Beacon Ground Station Network Almost together –CNES – signed letter of agreement received Toulouse – 9m.
Thomas Hackman: Stellar differential rotation1 Detecting stellar differential rotation NORDITA – Solar and stellar dynamo cycles Thomas Hackman,
Radio and Space Plasma Physics Group Tracking solar wind structures from the Sun through to the orbit of Mars A.O. Williams 1, N.J.T. Edberg 1,2, S.E.
1 P. C. Liewer, E. M. DeJong, J. R. Hall, JPL/Caltech; K. E. J. Huttunen, Y. Li, J. Luhmann, B. Lynch, UCB/SSL; Angelos Vourlidas & R. A. Howard, NRL;
Part 2: CME Analysis with StereoCAT for Space Weather: Limitations Barbara Thompson (NASA/GSFC) (presented by Leila Mays)
Center for Astrophysics and Space Sciences, University of California, San Diego 9500 Gilman Drive #0424, La Jolla, CA , U.S.A
Train Body The next series of slides will guide you through the construction of the train body. Start a new drawing and save it as Train Body.
Analysis of 3 and 8 April 2010 Coronal Mass Ejections and their Influence on the Earth Magnetic Field Marilena Mierla and SECCHI teams at ROB, USO and.
How massive is a CME? The greater accuracy offered by STEREO Eoin Carley R.T. James McAteer, Peter T. Gallagher Astrophysics Research Group, TCD.
1 Pruning of Ensemble CME modeling using Interplanetary Scintillation and Heliospheric Imager Observations A. Taktakishvili, M. L. Mays, L. Rastaetter,
1 Determination of CME 3D Trajectories using Stereoscopy STEREO CMES of 16Nov2007 and 31AUG2007 P. C. Liewer, E. M. DeJong, J. R. Hall, JPL/Caltech; R.
Chapter 3 Describing Motion: Kinematics in One Dimension.
Grade 9 Review Kinematics (motion) – Velocity and Acceleration Reference Frames and Displacement Average Velocity Instantaneous Velocity Acceleration Motion.
Detecting, forecasting and modeling of the 2002/04/17 halo CME Heliophysics Summer School 1.
Lessons learnt from the STEREO Heliospheric. Imagers: Tracking
Orientations of Halo CMEs and Magnetic Clouds
LWS Proposal 3D Reconstruction of White Light Coronagraph Images from Multiple Viewpoints PI John Cook, Co-I’s Jeffrey Newmark, Paulett Liewer, Collaborators.
SECCHI - Visualization & Analysis Tools for Images from Two Spacecraft
Physics: Principles with Applications, 6th edition
Physics: Principles with Applications, 6th edition
Describing Motion: Kinematics in One Dimension
Physics: Principles with Applications, 6th edition
Physics: Principles with Applications, 6th edition
Describing Motion: Kinematics in One Dimension
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, NR L SECCHI Consortium, Orsay, March 2007

2 Summary 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 STEREO/SECCHI will provide stereoscopic images of CME propagation from the Sun to Earth

3 STEREO/SECCHI has 5 Telescopes 1 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 A/Cor2A/Hi1A/Hi2 B/Cor2B/Hi2B/Hi :33:18 UT Sample Synthetic White Light Image Sequence Each frame shows A&B SC + 3 FOVs (Cor2, Hi1, Hi2) :04:38 UT :43:44 UT (a)(b) (c)(d) y -x SC A SC B Earth Sim 03 -separation 110°

7 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 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 Repeated for each stereo pair in time sequence sim04_144046_ cor2/A cor2/B

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 Edge coordinates are also written to an ascii file Files analyzed to find R max and its latitude & longitude to track “location” of CME vs time Note: Original model was a 3D flux tube surface whereas our reconstruction is a curve in 3D Here, CME leading edge at two times

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

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

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

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

14 Consider Large SC Separations x y SC B SC A

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

16 Sim02 had largest error in Longitude Each frame shows A&B SC + 3 FOVs (Cor2, Hi1, Hi2) Lines cross (1) out front of CME and (2) At larger (towards 360 °) longitude as obtained with tracking A/Cor2A/Hi1A/Hi2 B/Cor2B/Hi2B/Hi1 (a) (b) SC ASC B Earth y x Sim 02- separation 75°, latitude=64° Model longitude 313 ° Tracked longitude 335 °

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

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