• For hot pixel look for a p-value
    • $N_{\mathrm{DOF}} = N_{\mathrm{data points}} - N_{\mathrm{fitted params}}$
    • $E[\chi^{2}] = N_{\mathrm{DOF}}$
    • if we have 2 points and p-value ~10% then its a good fit, if larger then hot pixel
  • For Poisson variablen, n, where $\sigma_{{n}} = \sqrt{n}$
    • if $X = cn$ then $\sigma_{X} = c \sigma_{n}$
  • Check $\chi^2$ in plots, compare fit points to error bars
  • Find how width parameters depend on position on CCD chip.
  • Find out how narrow a feature can be until intrumental width dominates.
  • Put parameters in tables so that can be compared
  • Convolution of three functions, 3rd being a box for each pixel
  • Look at faster way of convolution, with Fourier transforms
  • Calibration with mixed lamp
  • Find function where $\lambda = f(m,\mu)$, relate micrometer position with wavelength and mean peak position
-- JosephBayley - 15 Nov 2015
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Topic revision: r2 - 16 Nov 2015 - JosephBayley

 
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