Examples of using tidynamics¶
The examples below show how one can use tidynamics to compute correlations and mean-squared displacements (MSD).
The example “Command-line interface to tidynamics” runs in the command-line. It performs the
two basic operations of tidynamics (autocorrelation function and MSD) using files as input
data. The file random_steps_sample_0.txt.gz
contains example data for computing the
autocorrelation function and the file random_walk_sample_0.txt.gz
contains example data
for computing the MSD.
The following commands run the command-line tool:
python tidynamics_tool.py msd random_walk_sample_0.txt.gz random_walk_msd_0.txt
python tidynamics_tool.py acf random_steps_sample_0.txt.gz random_steps_acf_0.txt
The output is stored in the files random_walk_msd_0.txt
and random_steps_acf_0.txt
.
The other examples require matplotlib.
Command-line interface to tidynamics
Command-line interface to tidynamics
Scaling behaviour
Correlation functions
Mean-square displacements (MSD)
Mean-square displacements (MSD)