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This repository is a Python implementation ofThe Banana Distribution is Gaussian:A Localization Study with Exponential Coordinates. Particularly, it addresses all the sections of the paper but section VII.
To run the project install its requirements as follows.
pip3 install -r requirements.txt
To launch the distribution experiment, run the next command.
python3 distribution.py --D=1 --n_trials=10000 --mov=linear
The parameterD
corresponds to a noise coefficient,n_trials
is the number of times the trajectory is integrated andmov
is the type of displacement, either an arc or linear. Results demonstrating the distribution modelled in cartesian and exponential coordinates is presented.
Cartesian | Exponential | |
---|---|---|
Linear | ![]() | ![]() |
Arc | ![]() | ![]() |
To run the propagation experiment, execute the next command. Nota that the arguments are the same ones explained before.
python3 propagation.py --D=1 --n_trials=10000 --mov=arc
Exponential (Monte Carlo) | Exponential (Propagation) | |
---|---|---|
Linear | ![]() | ![]() |
Arc | ![]() | ![]() |