free energies via velocity estimates

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Free Energies via Velocity Estimates B.T. Welsch & G.H. Fisher, Space Sciences Lab, UC Berkeley

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Free Energies via Velocity Estimates. B.T. Welsch & G.H. Fisher, Space Sciences Lab, UC Berkeley. In ideal MHD, photospheric flows move mag-netic flux with a flux transport rate , B n u f. (1). Demoulin & Berger (2003): Apparent motion of flux on a surface can arise from - PowerPoint PPT Presentation

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Page 1: Free Energies via Velocity Estimates

Free Energies via Velocity Estimates

B.T. Welsch & G.H. Fisher, Space Sciences Lab, UC Berkeley

Page 2: Free Energies via Velocity Estimates

In ideal MHD, photospheric flows move mag-netic flux with a flux transport rate, Bnuf.

hnhnfn vBB Bvu

Demoulin & Berger (2003):Apparent motion of flux on a surface can arise from horizontal and/or vertical flows.

In either case, uf represents “flux transport velocity.”

(1)

Page 3: Free Energies via Velocity Estimates

Magnetic diffusivity also causes flux transport, as field lines can slip through the plasma.

• Even non-ideal transport can be represented as a flux transport velocity.

• Quantitatively, one can approximate 3-D non-ideal effects as 2-D diffusion, in Fick’s Law form,

nideal-nonn Bη~B u

Page 4: Free Energies via Velocity Estimates

The change in the actual magnetic energy is given by the Poynting flux, c(E x B)/4.

• In ideal MHD, E = -(v x B)/c, so:

• uf is the flux transport velocity from eqn. (1) • uf is related to the induction eqn’s z-component,

)(B - S4)B - (v S4

) (B - ) ( v]x )x [( S4

fzhz

hzhzhz

hhzhhzzz

uBvBB

BvBBBBv

0 )(B t

Bfzh

z

u

(2)

Page 5: Free Energies via Velocity Estimates

A “Poynting-like” flux can be derived for the potential magnetic field, B(P), too.

• B evolves via the induction equation, meaning its connectivity is preserved (or nearly so for small ).

• B(P) does not necessarily obey the induction equation, meaning its connectivity can change!

• Welsch (2006) derived a “Poynting-like” flux for B(P):

)3() (B - )B - (v S4 fz)P(

hzhz)P((P)

z hhuBvBB

Page 6: Free Energies via Velocity Estimates

The “free energy flux” (FEF) density is the difference between energy fluxes into B and B(P).

/4) (B )( -

/4)B - (v )(

S - S S

fz)P(

hzhz)P(

(P)zz

(F)z

hh

hh

uBB

vBBB

Depends on photospheric (Bx, By, Bz), (ux,uy), and (Bx(P), By

(P)).

Requires vector magnetograms. Compute from Bz. What about v or u?

(4)

Page 7: Free Energies via Velocity Estimates

Several techniques exist to determine velocities required to calculate the free energy flux density.

• Time series of vector magnetograms can be used with:– FLCT, ILCT (Welsch et al. 2004), – MEF (Longcope 2004), – MSR (Georgoulis & LaBonte 2006), – DAVE (Schuck, 2006), or – LCT (e.g., Démoulin & Berger 2003)

to find

• Proposed locations of free energy injection can be tested, e.g., rotating sunspots & shearing along PILs.

)B (-or , )B - (v fzhzhz uvB

Page 8: Free Energies via Velocity Estimates

We use ILCT to modify the FLCT flows, via the induction equation, to match Bz/t.

and the approximation uf uLCT, solving

,zBBvB hzhzfz vuWith

2B

tz 2LCT

fz )B( u

with (v·B) = 0, completely specifies (vx, vy, vz).

Page 9: Free Energies via Velocity Estimates

Tests with simulated data show that LCT underestimates Sz more than ILCT does.

Images from Welsch et al., in prep.

Page 10: Free Energies via Velocity Estimates

The spatially integrated free energy flux density quantifies the flux across the magnetogram FOV.

• Large tU(F) > 0 could lead to flares/CMEs. – Small flares can dissipate U(F), but should not

dissipate much magnetic helicity. – Hence, tracking helicity flux is important, too!

)S -S(dydxSdydxU (P)zz

(F)z

(F)t (5)

Page 11: Free Energies via Velocity Estimates

We used both LCT & ILCT to derive flows between pairs of boxcar- averaged m’grams.

= 15 pixthr(|Bz|) = 100 G

Page 12: Free Energies via Velocity Estimates

Poynting fluxes into AR 8210 from ILCT & LCT both show increasing magnetic energy, U.

ILCT shows an increase of ~5 x 1031 erg;FLCT shows an increase of ~1 x 1031 erg

Page 13: Free Energies via Velocity Estimates

Poynting fluxes from ILCT & LCT are correlated.

Page 14: Free Energies via Velocity Estimates

Fluxes into the potential field, Sz(P), calculated from

ILCT & FLCT flows, however, strongly disagree.

Recall that Sz(F) = Sz

- Sz(P), so the increase seen in

ILCT’s Sz(P) will cause a decrease in Sz

(F).

Page 15: Free Energies via Velocity Estimates

Changes in U(F) derived via ILCT are ~1031erg, and vary in both sign and magnitude.

Changes in U(F) derived via FLCT are much smaller, and not well correlated with ILCT.

Page 16: Free Energies via Velocity Estimates

The cumulative FEFs ( U(F)) do not match; ILCT shows decreasing U(F), LCT does not.

Page 17: Free Energies via Velocity Estimates

Conclusions Re: FEF• Both FLCT & ILCT show an increase in magnetic energy

U, of roughly ~1031 erg and ~5 x 1031 erg, resp.

• FLCT also shows an increase in free energy U(F), of about ~1031 erg over the ~ 6 hr magnetogram sequence.

• ILCT, however, shows a decrease in U(F), of ~4 x1031 erg – Apparently, this arises from a pathology in the estimation

of the change in potential field energy, U(P). – This shortcoming should be easily surmountable.

Page 18: Free Energies via Velocity Estimates

References• Démoulin & Berger, 2003: Magnetic Energy and Helicity Fluxes at the

Photospheric Level, Démoulin, P., and Berger, M. A. Sol. Phys., v. 215, p. 203. • Longcope, 2004: Inferring a Photospheric Velocity Field from a Sequence of

Vector Magnetograms: The Minimum Energy Fit, ApJ, v. 612, p. 1181-1192.• Georgoulis & LaBonte, 2006: Reconstruction of an Inductive Velocity Field

Vector from Doppler Motions and a Pair of Solar Vector Magnetograms, Georgoulis, M.K. and LaBonte, B.J., ApJ, v. 636, p 475.

• Schuck, 2006: Tracking Magnetic Footpoints with the Magnetic Induction Equation, ApJ v. 646, p. 1358.

• Welsch et al., 2004: ILCT: Recovering Photospheric Velocities from Magnetograms by Combining the Induction Equation with Local Correlation Tracking, Welsch, B. T., Fisher, G. H., Abbett, W.P., and Regniér, S., ApJ, v. 610, p. 1148.

• Welsch, 2006: Magnetic Flux Cancellation and Coronal Magnetic Energy, Welsch, B. T, ApJ, v. 638, p. 1101.

Page 19: Free Energies via Velocity Estimates

Some LCT vectors flip as difference images fluctuate!

Page 20: Free Energies via Velocity Estimates

Derivation of Poynting-like Flux for B(P)

4/)Bv( dA

4/)Bv( dAt

U

4/))Bv(( dAt

4/)B( dA4/)z'( dA U

0',0 0

' ,- x 0 x

8/)( dV2 U

zhhz

zhhzh

(P)

zhhzh

(P)

22(P)(P)

(P)(P)(P)(P)

(P)(P)(P)

(P)

h

z

vBB

vB

vB

BBBBBB

BB

Page 21: Free Energies via Velocity Estimates

Also works w/ non-ideal terms…

) η(x S.,cf); η(x Sso

4/) η(x dA

4/) η(x dAt

U

4/)) η(x ( dAt

4/)B( dAU

hNI

hNI(P),

h

hh

(P)

hh

NI(P)

h

(P)

h

(P)

h

NI

zNI

JBJB

JB

J

J

zz

c

c

c

(P)hh BB at eqn’s left is valid w/any non-ideal term!