# Difference: 20151203_MSciSpectrocopyMeeting (1 vs. 2)

#### Revision 208 Dec 2015 - JosephBayley

Line: 1 to 1

 META TOPICPARENT name="StewartBoogertSpectroscopy2015"

# Errors

• Pick just one point in the peak to see how it varies
Line: 21 to 21

• See how necessary the instrumental response is
• See which dominates, or to see whether the gaussian or Lorentz is dominant in the fit
• See if is non zero, i.e test this hypothesis
Changed:
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<
• Use least squares in python so can give it the correct objective function
>
>
• Use least squares in python so can give it the correct objective function, Maximum likleyhood

# Presentation

• Put images of each frame into a grid

#### Revision 104 Dec 2015 - JosephBayley

Line: 1 to 1
>
>
 META TOPICPARENT name="StewartBoogertSpectroscopy2015"

# Errors

• Pick just one point in the peak to see how it varies
• Plot both sigma per exposure time and sigma against exposure time
• see how sigma varies with intensity

# Fit

• To test the Gaussian generate a gaussian with known parameters
• Give the Gaussian Poisson errors
• Then use our fit to to fit to the Gaussian and try to find what is wrong
• Check the means, take out circle mean

# Mapping

• Flip the plot so that the errors in the position can be used
• Look at what depends on the tan of the angle
• Prove the equations and find any extra terms, the fit may not be a polynomial

# Vega Line

• See how necessary the instrumental response is
• See which dominates, or to see whether the gaussian or Lorentz is dominant in the fit
• See if is non zero, i.e test this hypothesis
• Use least squares in python so can give it the correct objective function

# Presentation

• Put images of each frame into a grid
• Be clear in plots as to what is being convoluted and what is being added
-- Public.JosephBayley - 04 Dec 2015

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