Difference: 20151104_MSciSpectrocopyMeeting ( vs. 1)

Revision 104 Nov 2015 - AshleaKemp

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META TOPICPARENT	name="StewartBoogertSpectroscopy2015"

Meeting Notes

Present: Ashlea Kemp, Joe Bayley, Elena Cukanovaite, David Hadden, Professor Boogert, Professor Cowan

Make sure to include some mathematics onto twiki i.e. the functions that were plotted to graphs, explain each parameter
Make sure to include numerical values onto twiki (values for mean positions, etc)
Check $\chi^{2}$ value - should not be that small!

$\begin{equation} \chi2 = \sum \frac{(x_i - \mu)^2}{\sigma^2} \end{equation} <br />$

Want to find wavelength as a function of pixel position along x axis and micrometer setting, i.e. $\lambda(x,m)$
Fit one peak at a time in each frame, and find 3 parameters for each spectral lines: mean position $\mu_{i}$ , its corresponding wavelength $\lambda_{i}$ and micrometer setting $m_{i}$ . Once complete for whole spectrum, try and fit function $\lambda(x,m)$ for data. Find $\chi^{2}$ for functional fit to help determine the best functional fit i.e. linear, quadratic etc.
Origin of increasing background from left - right: at one side of CCD, there is some electronics generating heat and noise, hence there is some unavoidable rising background due the way camera is built. Can take Bias frame with 0 exposure to explore this
Normalise values to pixel per second exposure time.
Algorithm to search for hot pixels: for 1D, want to look at some derivative change.

$\begin{equation} \frac {P_2-P_1}{\delta x} \end{equation} <br />$

-- AshleaKemp - 04 Nov 2015

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