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Time Series of Magnetograms: Evolution, Interpretations, Inferring Flows G. Fisher, Y. Li, B. Welsch.

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Presentation on theme: "Time Series of Magnetograms: Evolution, Interpretations, Inferring Flows G. Fisher, Y. Li, B. Welsch."— Presentation transcript:

1 Time Series of Magnetograms: Evolution, Interpretations, Inferring Flows G. Fisher, Y. Li, B. Welsch

2 Discussion Topics G. Fisher: LCT, ILCT Y. Li: LCT applied to data, masking (thr), convergence/cancellation/rotation 1.12 May 1997 2.25-26 Sept. 1996 3.28-29 Oct. 2003 B. Welsch: reality check – FGE data

3 Flare Genesis Experiment Balloon-borne (Antarctic) observations of NOAA 8844, 25 Jan 2000 54 vector magnetograms, ~2.3/5.3 min. per hi-res: 18” pixels (130.5 km), ~520 x 520 pix LCT at t i differenced over t i +/-10, for  t ~85 min. Doppler maps, too! (No info. on method.) Tracking of white light images underway…

4 Test velocity inversion methods… Data movie Doppler movie LCT ILCT MEF

5 FGE Data Movie (BACK)

6 FGE Doppler Map (BACK)

7 LCT Results

8 MEF Horiz (LCT)

9 MEF V_z (DOPPLER)

10 ILCT Horiz (LCT)

11 ILCT V_z (DOPPLER)

12 ADC V_z (DOPPLER)

13 Apparent horizontal motion can be either true horizontal motion, or vertical motion of a tilted field geometry. ILCT: Reinterpret LCT, a la Demoulin & Berger (2003)

14 ILCT, cont’d: Find Similar to MEF, use scalar potentials: As w/MEF: indn eqn. fixes ; ass’d. Instead of minimizing ‘energy’ to find, ILCT uses LCT to constrain :


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