Issue date: December 2022
Mate, Lampert, Ahmed, Diallo, & Stewart, Zweben. (2022). Novel angular velocity estimation technique for plasma filaments [Data set]. Princeton Plasma Physics Laboratory, Princeton University.

Abstract: Data for the figures in text format. Please read the README file for detailed description.
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#  Filename  Description  Filesize 

1  fig1ab.txt  Two example consecutive frames of a rotating filament. Each line represents 64 horizontal pixels from the frame, each column represents vertical 80 pixels. Frame #1 and frame #2 are in the same file and contain the data for Fig. 1(a) and Fig. 1(b).  37.5 KB 
2  fig3abcd.txt  Preprocessing steps for the analysis. Same representation as for Fig. 1. Fig 3 (a,b,c,d) are in the same file in respective order: GPI_SLICED_FULL data (Fig. 3 (a)): Data for Figure 3 (a) GPI_NORMALIZED data (Fig. 3 (b)): Data for Figure 3 (b) GPI_DETREND_VEL data (Fig. 3 (c)): Data for Figure 3 (c) GPI_GAUSS_DIFF data (Fig. 3 (d)): Data for Figure 3 (d)  321 KB 
3  fig4a.txt  Fourier magnitude spectrum of a preprocessed GPI frame. x (pix) is the x coordinate in the Fourier magnitude spectrum. y (pix) is the y coordinate. FFT linear is the Fourier magnitude spectrum. Each line represents a horizontal row of pixels in the x axis while each column represents a vertical column of pixels in the y axis.  866 KB 
4  fig4b.txt  Same representation as Fig. 4 (a), but for the consecutive frame.  865 KB 
5  fig4c.txt  Logpolar transformed Fourier magnitude spectrum of the spectrum in Fig. 4 (a). phi (deg) is the polar coordinate in the transformed spectrum. r (pix) is the radial coordinate in the transformed spectrum. FFT logpol: Logpolar Fourier magnitude spectrum. Each line represents a horizontal row of pixels in the polar axis while each column represents a vertical column of pixels in the radial axis.  2.49 MB 
6  fig4d.txt  Same representation as Fig. 4 (c), but for the consecutive frame.  2.5 MB 
7  fig5.txt  Crosscorrelation coefficient function calculated between the logpolar transformed Fourier magnitude spectra for the full polar and the [31,31] radial range. r lag (pix): radial lag coordinate in the CCCF. phi lag (deg): polar lag coordinate in the CCCF 2D CCCF data: 2D spatial crosscorrelation coefficient function. Each line represents a horizontal row of pixels in the phi lag axis while each column represents a vertical column of pixels in the r lag axis.  877 KB 
8  fig6.txt  Results of the crosscorrelation threshold assessment for NSTX GPI measurement for shot 141319. Each row represents a point in the time series. The columns represent the time, and the angular velocity estimates for different correlation thresholds from 0.9 to 0.4 with 0.1 increments, respectively.  44.1 KB 
9  fig7.txt  Synthetic frames of a normal (Frame #1, Fig. 7 (a)) and a rotated (Frame #2, Fig. 7 (b)) Gaussianstructure. Same representation as in Figure 1.  211 KB 
10  fig8.txt  Relative uncertainty of the angular rotation estimation vs. angle of rotation and the Gaussian structure size. Angle rotation: rotation in degrees. Size vector: FWHM of the Gaussian structures in pixels. Relative uncertainty: Each row corresponds to a Gaussian size setting. Each column corresponds to an angle of rotation setting.  8.9 KB 
11  fig9.txt  Relative uncertainty of the angular rotation estimation vs. angle and elongation. Angle rotation: rotation in degrees Elongation: elongation of the Gaussianstructure. Relative uncertainty: Each row corresponds to a rotation angle setting, each column corresponds to an elongation setting.  16.5 KB 
12  fig10.txt  Mean and standard deviation of the relative uncertainty vs. angle of rotation and relative noise level. Angle of rotation: angle of rotation in degrees. Relative noise level: relative noise level settings. Mean relative uncertainty of the angular rotation estimation: Each row corresponds to a rotation angle setting, each column corresponds to a relative noise level setting. Data for Fig. 10 (a). Standard deviation of the relative uncertainty of the angular rotation estimation: Each row corresponds to a rotation angle setting, each column corresponds to a relative noise level setting. Data for Fig. 10 (b).  30.3 KB 
13  fig11_484.177ms.txt  88 KB  
14  fig11_484.180ms.txt  87.2 KB  
15  fig11_484.182ms.txt  88.3 KB  
16  fig11_484.185ms.txt  88 KB  
17  fig11_484.187ms.txt  87.7 KB  
18  fig11_484.190ms.txt  87.8 KB  
19  fig11_484.193ms.txt  87.6 KB  
20  fig11_484.195ms.txt  87.7 KB  
21  fig11_484.198ms.txt  87.8 KB  
22  fig12.txt  Angular velocity estimation results for blobs in shot 141307. Time (ms): Time vector in milliseconds. Angular velocity (rad/s): Angular velocity in rad/s.  14.8 KB 
23  fig13_2.5us.txt  89.2 KB  
24  fig13_5us.txt  88.7 KB  
25  fig13_7.5us.txt  89.1 KB  
26  fig13_10us.txt  89.3 KB  
27  fig13_2.5us.txt  88.9 KB  
28  fig13_5us.txt  89.2 KB  
29  fig13_7.5us.txt  89.4 KB  
30  fig13_10us.txt  88.9 KB  
31  fig13_t_ELM.txt  89.1 KB  
32  fig14.txt  Angular velocity estimation results for an ELM filament in shot 141319. Time (ms): Time vector in milliseconds. Angular velocity (rad/s): Angular velocity in rad/s.  9.7 KB 
33  fig15a.txt  Comparison of the angular velocity estimation techniques for shot 141307. Time CCCF (ms): Time vector in milliseconds for the CCCF technique. Angular velocity CCCF (krad/s): Angular velocity calculated with the CCCF based technique. Time contour (ms): Time vector in milliseconds for the contour technique. Angular velocity contour (krad/s): Angular velocity estimate with the contour based technique. Time watershed (ms): Time vector in milliseconds for the watershed technique. Angular velocity watershed (krad/s):Angular velocity estimate with the watershed based technique.  42.7 KB 
34  fig15b.txt  Comparison of the angular velocity estimation techniques for shot 141319. Same representation as for Fig. 15 (a).  36.2 KB 
35  README.txt  Detailed description of all of the data files.  5.11 KB 