REVISION DATE: 06-Jul-2015 15:13:49

Mike tooks some laser data with all the tracks on to get a approximate wavelength cal. I found the pixel for each track and wavelength three ways. The simplest was to just find the maximum value for the track (this does not take into account that the wavelength may not be centered on the pixel. The second two ways are using Gausiann fitting programs: mygaussfit and gaussfit. They where downloaded from the Matlab userfiles so not guarantees of how they work. This should find a truier center pixel for the laser data. One other issue is how accurate the laser wavelengths are.

The first graphs just shows the data for track 7. I used the data with tracks 1,4,7, 10 and 13 on. The secondset of graphs shows the laser data taken and is zoomed in on the peaks. The last three shows the relationship between the Laser wavelength and its pixel for the three ways to get the laser pixels. A second order polynomial was used and I liked the laser peaks from the mygaussfit programs so that was the one I used create the wavelength cal. The bottom of the page is a listing of the tracks, laser wavelength and laser pixels used in the polynomial fits.

 
2nd order polynomial regressions 
P(4,:) = [1.38995e-05 0.334538 339.502 ];
P(7,:) = [1.37679e-05 0.334668 339.552 ];
P(10,:) = [1.37533e-05 0.334775 339.476 ];

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

 
Track = The Resonon Track number  
Lwave = Laser Wavelength 
Lpix1 = Laser Pixel found using the max value of the track 
Lpix2 = Laser Pixel found using mygaussfit to fit the laser peak  
Lpix3 = Laser Pixel found using gaussfit to fit the laser peak
 
Track Lwave Lpix1 Lpix2 Lpix3  
    4    350       31      31.34      31.34 
    7    350       31      31.18      31.17 
   10    350       31      31.40      31.40 
    4    450      326     325.89     325.90 
    7    450      326     325.66     325.68 
   10    450      326     325.78     325.82 
    4    680      978     978.07     978.09 
    7    680      978     977.93     977.94 
   10    680      978     977.89     977.91