Basic Tools

  • OirGetData

    Now it is time to see what MIDI files contain. Start "Gorgonzola" by typing


    mark all files related to the calibrator HD 10380 and press "SELECT". Now calfile[0] contains the name of the acquisition data file, calfile[1] the three names of the tracking data files, calfile[2] the name of the file for the photometry of beam A (AOPEN), and calfile[3] the name of the file for the photometry of beam B (BOPEN). Now the hooks on the data files are defined. To read in for example the acquisition data just type


    This will last for a few seconds and the data is read into the variable acq.




    the 100th frame of beam B (data1) is displayed. Since each real pixel on the detector is shown as one pixel on your monitor, it's a good idea to magnify the image, e.g. by a factor 5:


    Try also e.g. a contour plot with


    In the image below the first output is displayed as an inset


    One can clearly discriminate the boundary of the beam (circular border) from the light coming from the delay line tunnel (arcs above and below the center), and the sky (center). The sky is darker than the contribution from the tunnel. The source is not visible yet! The second beam (data2) is displayed below.


    You should load the other datasets (i = 1,2,3) and play with them:


    This may the time you cherish to have a fast computer! It may last up to a few minutes to load this large files!

  • MTV

    A higher level tool to display the content of the files is "mtv". It's a little IDL-routine that puts MIDI-windows together into one array and calls atv with that array. The graphical user interface is similar to that of the well known "saoimage". To use "mtv" read the data with the above used routine oirgetdata


    and call mtv


    Below you see again the acquisition data (calfile[0] ).


  • OirGetMeanRMS

    The routine used to derive the mean and the root mean square of a dataset is


    It returns a table with two rows. The first, i.e.

      c[0].data1   or   c[0].data2

    contains the mean of each of the windows over the data set. The second, i.e.

      c[1].data1   or   c[1].data2

    contains the rms of each of the windows over the data set.