Loops REU Montana State University 2011 Brent Holmes Yohkoh SXT - - PowerPoint PPT Presentation

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Loops REU Montana State University 2011 Brent Holmes Yohkoh SXT - - PowerPoint PPT Presentation

The Cooling of Multi-Stranded Flaring Loops REU Montana State University 2011 Brent Holmes Yohkoh SXT I am using data from the Soft X- ray Telescope aboard Yohkoh Solar Flare Searching for a better model for the cooling of solar


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SLIDE 1

The Cooling of Multi-Stranded Flaring Loops REU Montana State University 2011

Brent Holmes

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SLIDE 2

Yohkoh SXT

  • I am using

data from the Soft X- ray Telescope aboard Yohkoh

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SLIDE 3

Solar Flare

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SLIDE 4

Searching for a better model for the cooling of solar flares

  • Current

theories cannot model the cooling very

  • well. We will

be working to better fit the tails of these light curves by varying parameters including number of loops.

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SLIDE 5

With better resolution, we can see more loops than were initially visible.

  • SXT

TRACE

  • We believe there are more loops then seen even here that would

be visible with even better resolution.

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SLIDE 6

How Could There Be Many Loops and Yet We Don’t See Them?

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SLIDE 7

A saturated frame and a normal frame

  • When I had retrieved the data from Yohkoh for
  • ur project, I had to remove saturated frames like

the one below. I also had to remove frames not focused on the flare, scattered light and vignetting.

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SLIDE 8

1992 September 6 Flare Before

  • This movie shows what the data looked like

before I cleaned it up.

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SLIDE 9

1992, September 6 Flare After

  • This movie shows the data after I cleaned it

up.

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SLIDE 10

Selected Pixels

  • You can

see where I picked the pixels to make light curves from.

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SLIDE 11

Selected Pixels

  • Here’s

another view from the movie program we used to help us follow where the pixels were in the flare.

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SLIDE 12

Light Curve 1992 September 6 Filter 2

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SLIDE 13

Light Curve 1992 September 6 Filter 4

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SLIDE 14

Light Curve 1992 September 6 Filter 5

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SLIDE 15

Light Curve Stitching Before

  • The align

program wasn’t working properly.

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SLIDE 16

Light Curve Stitching After

  • So I

made a program to let me repick the pixels to make the light curves after the jumps.

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SLIDE 17

Loop Length vs Time 1992 September 6

  • With this

best fit line we are able to give input of loop length change to our program.

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Why Does Loop Length Increase?

  • Flare strands form on top of older strands. So

like this rainbow as you go up the length and foot point distance increases

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SLIDE 19

How much do the footpoints move?

  • The x’s

mark the position at 5:14:32.

  • The o’s

mark the position at 5:24:02.

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SLIDE 20

cm per arcsecond on different parts of the sun

  • Observing

different parts of the sun gives different distances for the same angles, because we are making a 3D object 2D

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SLIDE 21

Hard X ray 1992 September 6th

  • The contours are the hard x-rays, the colored

parts are the soft x-rays

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SLIDE 22

Finding the Best Temperature, Density, and Number of Strands

  • This is a picture of the running amoeba program
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SLIDE 23

What is an amoeba?

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SLIDE 24

The Amoeba’s Flow Chart (courtesy C.C. Kankelborg)

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SLIDE 25

Amoeba

  • Amoeba searches for the best fit line. In this

early picture it is far off

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SLIDE 26

Amoeba

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SLIDE 27

Amoeba

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SLIDE 28

Amoeba

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SLIDE 29

Amoeba

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SLIDE 30

Amoeba

  • Eventually it finds a pretty good fit.
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SLIDE 31

Best fit results to flare of September 23, 1998

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SLIDE 32

Comparison New to Old

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SLIDE 33

Amoeba Loop number vs peak temperature

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SLIDE 34

Comparison Ours to Single Strand Model

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SLIDE 35

Single Strand Can Be Close but the Parameters Become Unreasonable

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SLIDE 36

Best fit results to flare of December 27th, 1999

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SLIDE 37

Comparison New to Old

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SLIDE 38

Comparison Ours to Single Strand Model

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SLIDE 39

Single Strand Can Be Close but the Parameters Become Unreasonable

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The Future

  • We have successfully

improved our model so that it better fits the cooling of solar flare loops. In the future, we hope to improve our bounds

  • n parameter space so

that our fits can be even better and our model can be physically accurate.