Here some MATLAB scripts will accumulate how to plot and analyze spectra that have been recorded.

Examples how to use the scripts will be given as well. The examples are tested on the data in the examples folder, so everything should work.

The function mono_read lets you read in data that is structured in columns. First you need to use a relative path to go to the data you want to manipulate. Than you can read in the whole datafolder.

Example

datafolder = '..\..\..\where\so\ever\your\data\is\'
data = mono_read(datafolder, number-of-columns-your-data-has, '*.type-of-your-data')

Also some example data was generated. If you want to test everything with this data set, do the following:

datafolder = 'examples\'
data = mono_read(datafolder, 2, '*.txt')

Now your data is read in and you can start working with it. The following examples all use the example data to get you started playing with these functions.

To plot data you can use the function mono_plot_data. It needs the data you want to plot and the spectrum you want to take from that data.

mono_plot_data(data, 1)

You can also use your mouse to click on the spectrum in order to let MATLAB display its x-position. This is useful if you want to integrate in a region around the peak selected.

The data from your mouse click is returned, so you can also integrate it to your calculations.

In order to integrate around a peak you might want to use the function mono_integrate_data. A spectrum has to be handled to the function, as well as the chosen x-position and a width around the peak:

mono_integrate_data(data(1), 109, 20)

Once you have understood how these functions work and how to use them, you can start doing more advanced operations. Here an example is given to plot a map of the given data using the mono_map_data function.

Prior to using this function, you first need to adjust the following line

case 'part'
% integrate in a given range
  for k = 1:length(data)
    integrated = [integrated; mono_integrate_data(data(k), 100, 20)];
  end

Here your values on the positions of 100 and 20 have to be inserted. The function is used as followed:

mono_map_data(data, 1, 3, 3, 'part')

For the example data the step width of 1 is chosen randomly. This value only scales the x- and y-TickLabels. Here you should insert your step width that you used during your measurements.

The following two values define the matrix dimensions your experiment was set up to. Here it is 3 times 3.

As we want to integrate only around the peak position, we use the option 'part' other options are explained in the function description.