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Implementation of banana shape distribution paper

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MikeS96/exp_banana

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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.

Installation

To run the project install its requirements as follows.

pip3 install -r requirements.txt

Defining distributions in Exp. Coordinates.

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.

CartesianExponential
Linear
Arc

Propagating distribution in Exponential coordinates

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

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