• Predominantly experimental week; took spectrum images for 4 remaining lamps
• Started aligning mirrors and focusing laser onto fibre end

• Plot of differential of data for Cadmium lamp with the grating of 6.50mm:
  

• Plot of second differential of data for Cadmium lamp with grating of 6.50mm:
  

• Normalised plot:
  

• Normalised plot of all 3 sets of data:
  

• Test of peak finder algorithm:
  

• Need to find the weighted average for the location of the peaks for each batch of peak lines; so instead of obtaining multiple vertical lines for each peak in data you obtain one which is the average of group of data at the location. Also need to find the width of data.

• Attempted to fit multiple Gaussian curves to a spectrum using peak parameters attained by eye, looking at the spectrums, in the form [amplitude, pixel position, width, background]

• Gaussian fits to the Cadmium 6.50mm spectrum:
  
• Peak guess parameters passed to the function were [8E6, 150, 30, 3E5], [1.6E7, 270, 30, 3E5], [1.6E7, 520, 30, 3E5]

• Gaussian fits to the Cadmium 1.50mm spectrum:
  
• Peak guess parameters passed to the function were [8E5, 20, 40, 6E5], [8E5, 75, 20, 6E5], [2E6, 150, 30, 6E5], [1.6E6, 190, 30, 6E5], [9E5, 200, 30, 6E5], [1E6, 310, 20, 6E5], [1E6, 320, 30, 6E5], [1.6E6, 470, 20, 6E5], [1E6, 560, 30, 6E5], [8E5, 750, 30, 6E5]
• Struggles with small, duplets or closely packed peaks

• gaussian_fit.py.txt: Current Gaussian fit python code

• Limited Gaussian fits to the Cadmium 1.50mm spectrum:
  
• Range for each fit is +/- 30 pixels from pixel position passed to the function

-- WillBurrows - 20 Oct 2016