hkraemer / pecuzal_julia Goto Github PK

This code base is using the Julia Language and DrWatson to make a reproducible scientific project, authored by K.Hauke Kraemer and George Datseris. It contains all the source code for producing the article [kraemer2020].

To (locally) reproduce this project, do the following:

0. Download this code base. Notice that raw data are typically not included in the git repo and may need to be downloaded independently.

1. Open a Julia console and do:

   julia> cd("path/to/this/project")
   julia> using Pkg; Pkg.activate(".")
   julia> Pkg.instantiate()

This will install all necessary packages for you to be able to run the scripts and everything should work out of the box.

This repository is not intended to make a self-contained Julia package, but rather give readers of [kraemer2020] the opportunity to get full access to any source code. The PECUZAL method is incorporated and maintained in the DynamicalSystems.jl-Ecosystem, specifically in the DelayEmbeddings.jl package. Here the reader can find a full documentation and some basic example illustrating the usage of the PECUZAL method.

If you enjoy this tool and find it valuable for your research please cite

or as BiBTeX-entry:

@misc{kraemer2020,
title={A unified and automated approach to attractor reconstruction},
author={K. H. Kraemer and G. Datseris and J. Kurths and I. Z. Kiss and J. L. Ocampo-Espindola and N. Marwan},
year={2020},
eprint={2011.07040},
archivePrefix={arXiv},
primaryClass={physics.data-an}
url={https://arxiv.org/abs/2011.07040}
}

This is program is free software and runs under MIT Licence.