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The Search for Units: A Gradient Distribution route to Multifractality in Solar Magnetic Fields R.T. James McAteer New Mexico State University 1
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The Search for Units: A Gradient Distribution route to Multifractality in

Solar Magnetic Fields

R.T. James McAteerNew Mexico State University

1

ISSI meetingSept, 20132

ISSI meetingSept, 2013

Maybe SOC?Scale free, maybe SOC

Fractals, maybe SOC

Units, in SOC

3

ISSI meetingSept, 2013

The Why and The How

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ISSI meetingSept, 2013

Connection to SOCallows for energy build up over timescales much longer than energy release

allows for a system to approach SOC

requires a threshold in ‘energy’ which must be followed by a release of energy

dictates energy output sizescales much less than spatial scale of system. 5

ISSI meetingSept, 2013

Scale free, maybe SOC?

Abramenko 2002, 2005, 2006Hewett, McAeer et al., 2008

E(k) ~ k-a

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ISSI meetingSept, 2013

Scale free, maybe SOC

7

ISSI meetingSept, 2013

Scale free, maybe SOC

8

ISSI meetingSept, 2013

Scale free, maybe SOC

9

ISSI meetingSept, 2013

Scale free, maybe SOC

10

ISSI meetingSept, 2013

Fractals, maybe SOCMcAteer et al., 2005

11

ISSI meetingSept, 2013

Fractals, maybe SOCMcAteer et al., 2005

12

ISSI meetingSept, 2013

Fractals, maybe SOCMcAteer et al., 2005

13

ISSI meetingSept, 2013

Fractals, maybe SOCMcAteer et al., 2005

2700 days9300 images

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ISSI meetingSept, 2013

Units, in SOC

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ISSI meetingSept, 2013

gradients, gradients, gradients,...

Sammis et al, ApJ, 2000, 540, 587Schrijver, ApJ, 2007, 655, L117Falconer et al., ApJ, 2008, 689, 1433Al-Ghraibai, Boucheron, McAteer, ApJ, 201316

ISSI meetingSept, 2013

gradients, gradients, gradients

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ISSI meetingSept, 2013

dB/dx, dB/dy

Jz

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ISSI meetingSept, 2013

Size of gradientSize of gradient at each scale

0 0.5 1.0

#or

D(h)

h

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ISSI meetingSept, 2013

Wavelet Transform Modulus Maxima

(1) Take a *multiscale* gradient(2) At the smallest spatial, detect a strong gradient.(3) Track this gradient up through each size scale. (4) Calculate partition function

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ISSI meetingSept, 2013

The quiet Sun

21

ISSI meetingSept, 2013

Wavelet Transform Modulus Maxima

22

ISSI meetingSept, 2013

New flux arises near to ‘strong’ gradientsNew gradients arise near ‘strong’ gradients

23

ISSI meetingSept, 2013

Maybe SOC?

Scale free, maybe SOC

Fractals, maybe SOC

Units, in SOC

24

ISSI meetingSept, 2013

ProblemsWe’re measuring the wrong part of the active region?

Energy build up in transverse component of magnetic field.

Magnetic field in corona is where the flare occurs.

We only measure the driver of the build up of energy.

What is the appropriate time scale?Sun doesn’t care what is happening on 24 hour timescale.

Is there a strong solar cycle dependence?

Flaring is non-Poisson - events are not independent.

What is a big flare?What is the total energy in an event? How is this distributed between radiation, particle, coronal mass ejection, etc..?

Careful not to succumb to big-flare syndrome

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ISSI meetingSept, 201326

ISSI meetingSept, 2013

Looking forwardDetection of energy release mechanism.

how much energy is available?

how much energy is released?

how much energy is needed to maintain a stable active region?

Predictions over appropriate timescales.

How do we combine the maximum predictive timescale of each measure and flare size?

ConclusionsThe multifractal spectrum is a number distribution of gradient persistence to high spatial scales

higher h, higher D, more energy build up

pointer to further flux emergence and gradient build up

this may the connection to resulting flares.

Is there a maximum predictive timescale of each measure?

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ISSI meetingSept, 2013

Accuracy depends: predict X class / fast CME (HSS 0.7) 12 hourspredict C class (HSS 0.65) over 72 hours.

Bloomfield et al, ApJ, 2012Also Poster Session 6.1

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ISSI meetingSept, 2013

Questions

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ISSI meetingSept, 2013

What about some Units?Multifractal spectrum is directly related to the distribution of gradients

Magnetic Gradients(G / Mm)

Magnetic Gradients(G / Mm)

StrengthStrengthMagnetic Gradients(G / Mm)

Magnetic Gradients(G / Mm) 300 25

#5 D=1.2 D=1.0

#25 D=1.45 D=1.2

Magnetic Gradients(G / Mm)

Magnetic Gradients(G / Mm)

StrengthStrengthMagnetic Gradients(G / Mm)

Magnetic Gradients(G / Mm) 300 25

#4 D=1.3 D=1.0

#20 D=1.45 D=1.1

Magnetic Gradients(G / Mm)

Magnetic Gradients(G / Mm)

StrengthStrengthMagnetic Gradients(G / Mm)

Magnetic Gradients(G / Mm) 300 25

#2 D=1.4 D=1.0

#10 D=1.45 D=1.05

2 pixels

16 pixels4 pixels

30

ISSI meetingSept, 2013

Where are the gradients? Abramenko, 2005, ApJ

Hewett, Gallagher, McAteer, et al., 2008, Solar Physics, 248, 311

Size Scaling index related to structure function

Ireland, Young, McAteer, et al., 2008, Solar Physics, 252, 121

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ISSI meetingSept, 2013

Outline

The promise of flare prediction

The premise of flare prediction

The problems of flare prediction

The promise of flare prediction

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ISSI meetingSept, 2013

The promise of flare prediction

33

ISSI meetingSept, 2013

“Big and Ugly’

Prediction requires understanding

The promise of flare prediction

34

ISSI meetingSept, 2013

Outline

The promise of flare prediction

The premise of flare prediction

The problems of flare prediction

The premise of flare prediction

35

ISSI meetingSept, 2013

The premise of flare prediction

Big and Ugly?

Global properties are useful

Local properties are key

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ISSI meetingSept, 2013

The premise of flare predictionAbramenko, ApJ, 2005Conlon, McAteer et al., ApJ, 2010

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ISSI meetingSept, 2013

The premise of flare prediction

What flare size?

What timescale?

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ISSI meetingSept, 2013

The premise of flare prediction

Paul Higgins 2009

Leka & Barnes ApJ, 2003Higgins et al, ASR, 2010

39

ISSI meetingSept, 2013

The premise of flare prediction

Paul Higgins 2009

What flare size?

What timescale?

What parameters matter?

What is accurate flare prediction?

40

ISSI meetingSept, 2013

Outline

The promise of flare prediction

The premise of flare prediction

The problems of flare predictionThe problems of flare prediction

41

ISSI meetingSept, 2013

Conclusions

Progress is significant

solar cycle of synoptic data

Combination of local and global properties works at HSS score of 0.8

Looking forward to full disk vector data.

42


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