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, $\gamma$ or $\sigma$ to see whether the gaussian or Lorentz is dominant in the fit
  • See if $\gamma \mathrm{or} \sigma$ 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 104 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, $\gamma$ or $\sigma$ to see whether the gaussian or Lorentz is dominant in the fit
  • See if $\gamma \mathrm{or} \sigma$ 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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