Summary of ucb muri workshop on vector magnetograms
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Summary of UCB MURI workshop on vector magnetograms. Have picked 2 observed events for targeted study and modeling: AR8210 (May 1, 1998), and AR8038 (May 12, 1997)

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Summary of UCB MURI workshop on vector magnetograms

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Summary of UCB MURI workshop on vector magnetograms

  • Have picked 2 observed events for targeted study and modeling: AR8210 (May 1, 1998), and AR8038 (May 12, 1997)

  • “Plan of Action” formulated (see http://solarmuri.ssl.berkeley.edu/~fisher/public/presentations/vmgram-workshop-2002/ . for details

  • Have started modeling AR8210 – It is difficult! Challenges: Generating initial conditions self-consistently, deriving physically consistent velocity fields at photosphere, real versus numerical time scales


MDI magnetogram of AR8210


This active region was extremely well observed, was responsible for a number of flares and CMEs, and has a fascinating evolution across the solar disk…


First step: Drive MHD model with “fake” data of flux emergence from another MHD simulation

  • Tests ability to drive an MHD calculation from boundary

  • Boundary values of variables guaranteed to be physically consistent


Test calculations of flux emergence and comparisons with potential field models


Velocities: Why it is essential to know them:

  • Physically consistent evolution at bottom plane in a simulation:

    Terms on LHS describe evolution driven by horizontal motion; RHS describes evolution due to flux emergence or submergence

  • This requires knowledge of vector components of B and v.

  • How do we determine v self-consistently from a sequence of vector magnetograms?

  • Price for ignoring the problem: Incorrect coronal magnetic topology


We are exploring several methods for finding the velocity of magnetized plasma:

  • Stokes Profiles could be used to get vz

  • Local Correlation Tracking (LCT) can find a velocity field v (But is it correct?)

  • Vertical component of induction equation provides a constraint equation on v from a sequence of vector magnetograms (but solution is under-constrained)

  • Kusano et al. used combination of LCT and vertical induction equation to solve for vz

  • Longcope has developed a solution by adding an additional constraint: minimize the horizonal kinetic energy. Method appears to work in some cases, but not yet thoroughly tested.


LCT tests show it works some times and not others…

Apply a velocity field to an image consisting of random hash – can LCT correctly recover the velocity?


Recovered velocity fields…

Here, it did correctly find the applied horizontal velocity field…

Vx

Vy


Here it doesn’t work so well:

2 images of Bz taken at a horizontal plane of one of Bill Abbett’s flux emergence simulations:


Comparison of LCT and actual horizontal velocity fields:

Note LCT velocity is very wrong in the outer regions…

LCT

actual


This illustrates some serious shortcomings to LCT:

  • In order for local correlation tracking to work, there must be some “structure” in the image

  • There is (at least one) arbitrary constant (e.g. the “tile size”) which must be specified a-priori

  • LCT cannot give any information about vertical velocities

  • LCT will incorrectly determine the horizontal velocity when magnetic flux is emerging or submerging


Try an alternative approach based on ideal MHD induction equation applied at boundary plane:

  • Magnetic quantities known from sequence of vector magnetograms

  • This equation provides an (underdetermined) constraint on the velocity field. With additional assumptions, a physically consistent velocity field can be found.

  • Details of Longcope’s proposed solution available at http://solarmuri.ssl.berkeley.edu/~dana/public/presentations/


Result of applying Dana’s method to AR8210:


And so what happens in MHD simulations of AR8210?

  • Stay tuned! Simulations are running even as we speak….


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