Test on generated test data

The github repository which contains the Code associated to this paper. (see https://github.com/SebastianFuerthauer/SpindleRerrangement ). This now contains a python file named create_artificial_data.py which we used for generating test cases.

The code allows you to pick a timestep DT. Each timestep consists of the following sequence:

1/ catastrophing MTs are determined and destroyed.
2/ on surviving MTs cutting events are performed.
3/ New MTs are nucleated.
4/ All surving MTs grow.

Test data is generated by running the Code for a total time that is long compared to catastrophe and cutting times, such that a steady state is reached.

For analysis we use the same scripts as for actual data, which are available from the same github repository.