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ARL Python Tools

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ARL Python Tools

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[!NOTE] This package is now in maintainence mode and not being actively developed. I personally no longer use Python much, as all my scientific work has now moved to Julia. I still maintain this package for others who use it, but new features rarely get implemented. I am, however, happy to review and take in PRs from contributors who would like to add features or fix bugs.

[!TIP] For those of you who use this package as a Python front-end to BELLHOP, there is now a better option to consider. The UnderwaterAcoustics.jl ecosystem provides a unified and more capable interface to a variety of propagation models including BELLHOP, KRAKEN, ORCA, etc. Although developed for Julia, the packages can easily be used from Python.

Introduction

Packages such as numpy and scipy provide excellent mathematical tools for scientists and engineers using Python. However, these packages are still young and evolving, and understandably have some gaps, especially when it comes to domain-specific requirements. The arlpy package aims to fill in some of the gaps in the areas of underwater acoustics, signal processing, and communication. Additionally, arlpy also includes some commonly needed utilities and plotting routines based on bokeh.

General modules

The following modules are general and are likely to be of interest to researchers and developers working on signal processing, communication and underwater acoustics:

  • Signal processing (arlpy.signal)
  • Communications (arlpy.comms)
  • Beamforming and array processing (arlpy.bf)
  • Stable distributions (arlpy.stable)
  • Geographical coordinates (arlpy.geo)
  • Underwater acoustics (arlpy.uwa)
  • Underwater acoustic propagation modeling (arlpy.uwapm)
  • Plotting utilities (arlpy.plot)
  • Common utilities (arlpy.utils)

Special-purpose modules

The following modules are specific to tools available at the ARL and may not be of general interest to others:

  • Digital Towed Array (arlpy.dtla)
  • ROMANIS (arlpy.romanis)
  • HiDAQ (arlpy.hidaq)
  • UNET (arlpy.unet)

Usage

Installation::

pip install arlpy

To import all general modules::

import arlpy

Notes

Png export of bokeh plots requires selenium, pillow and phantomjs. These are not installed as automatic depdendencies, since they are optional and only required for png export. These should be installed manually, if desired.

Citing

@software{arlpy,
  author = {Mandar Chitre and others},
  title = {{arlpy}: ARL Python Tools},
  version = {1.9.1},
  year = {2024},
  url = {https://github.com/org-arl/arlpy/tree/v1.9.1}
}

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