REVISION DATE: 29-Apr-2015 11:48:54
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(1,:) = [1.21028e-05 0.337803 345.734 ]; P(4,:) = [1.17991e-05 0.338055 345.694 ]; P(7,:) = [1.17217e-05 0.338094 345.793 ]; P(10,:) = [1.17814e-05 0.338032 345.795 ]; P(13,:) = [1.18685e-05 0.338001 345.787 ];
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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 1 350 12 11.97 11.96 4 350 12 11.90 11.92 7 350 12 11.53 11.54 10 350 12 11.55 11.54 13 350 12 11.58 11.61 1 400 160 160.34 160.20 4 400 160 160.56 160.54 7 400 160 160.34 160.34 10 400 160 160.33 160.33 13 400 160 160.35 160.35 1 450 306 305.82 305.74 4 450 306 305.90 305.92 7 450 306 305.65 305.66 10 450 306 305.65 305.66 13 450 306 305.67 305.68 1 500 450 449.60 449.60 4 500 450 449.60 449.61 7 500 449 449.30 449.27 10 500 449 449.33 449.28 13 500 449 449.36 449.32 1 550 592 591.83 591.84 4 550 592 591.74 591.78 7 550 591 591.46 591.41 10 550 591 591.52 591.44 13 550 591 591.52 591.48 1 600 733 732.89 732.90 4 600 733 732.81 732.87 7 600 732 732.62 732.53 10 600 732 732.68 732.57 13 600 732 732.62 732.57 1 650 873 873.14 873.14 4 650 873 873.22 873.23 7 650 873 872.84 872.96 10 650 873 872.85 872.97 13 650 873 872.74 872.93 1 700 1012 1012.23 1012.23 4 700 1013 1012.57 1012.55 7 700 1012 1012.45 1012.44 10 700 1012 1012.45 1012.43 13 700 1012 1012.30 1012.31 1 703 1021 1020.60 1020.60 4 703 1021 1020.91 1020.93 7 703 1021 1020.82 1020.83 10 703 1021 1020.81 1020.82 13 703 1021 1020.68 1020.70