Acoular 23.6 documentation

Acoular – Acoustic testing and source mapping software

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Acoular – Acoustic testing and source mapping software

Acoular is a framework for acoustic beamforming that is written in the Python programming language. It is aimed at applications in acoustic testing. Multichannel data recorded by a microphone array can be processed and analyzed in order to generate mappings of sound source distributions. The maps (acoustic photographs) can then be used to locate sources of interest and to characterize them using their spectra.

Three different point sources Airfoil leading edge noise Pantograph noise

A few highlights of the framework:

  • covers several beamforming algorithms

  • different advanced deconvolution algorithms

  • both time-domain and frequency-domain operation included

  • 3D mapping possible

  • application for stationary and for moving targets

  • supports both scripting and graphical user interface

  • efficient: intelligent caching, parallel computing with Numba

  • easily extendible and well documented

Problems, suggestions and success using Acoular may be reported via the acoular-users discussion forum or to info (at)

Our blog has detailed tutorials about how to set up and run an analysis and how to provide input data.



Description of the different download and installation options to get Acoular running on your system.

Getting Started

The basics for using Acoular explained with a simple example.

What’s new

Release notes for the current version of Acoular.


Example scripts covering different use cases.

Reference Manual

All modules, classes and methods featured in Acoular are described in detail here. They can easily be browsed through an inheritance tree and cross links.


In here some of the publications used for this program package are listed. Further reading to fully understand how the algorithms work is recommended.

Indices and tables

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