Difference:
20151203_MSciSpectrocopyMeeting
(1 vs. 2)
Revision 2
08 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:
<
<
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 1
04 Dec 2015 
JosephBayley
Line: 1 to 1
Added:
>
>
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
Read the spectrometer manual
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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