MultipleScattering

A Julia library for simulating, processing, and plotting multiple scattering of waves.

The library focuses on multipole methods (addition translation theorems) to solve the inhomogeneous Helmholtz equation (time-harmonic waves). Multipole methods are particularly efficient at solving scattering from particles in an infinite domain. This library is configured to use T-matrices (also known as scattering matrices) to represent scattering from particles with any shape and properties (currently implemented for acoustics).

The package is setup to deal with different spatial dimensions and types of waves which satisfy Helmholtz equation's, e.g. acoustics, electromagnetism, elasticity. For details on some of the maths see Martin (1995) and Gower et al. (2017).

This package is available for Julia 1.0.5 and beyond. To get started, just add the package by typing

julia> ]
pkg> add MultipleScattering

then press the backspace key followed by

julia> using MultipleScattering

• Latest Documentation — documentation of the in-development version.

Define the properties of your host medium:

dimension = 2 # could also be 3, but then all 2D vectors need to be 3D vectors
host_medium = Acoustic(dimension; ρ = 1.0, c = 1.0); # 2D acoustic medium with density ρ = 1.0 and soundspeed c = 1.0

An acoustic medium in 2D with density 1 and wavespeed 1.

Next, define two dense, circular acoustic particles, the first centred at [-2,2] with radius 2 and the second at [-2,-2] with radius 0.5,

particle_medium =  Acoustic(dimension; ρ = 10.0, c = 2.0); # 2D acoustic particle with density ρ = 10.0 and soundspeed c = 2.0
p1 = Particle(particle_medium, Sphere([-2.0,2.0], 2.0));
p2 = Particle(particle_medium, Sphere([-2.0,-2.0], 0.5));
particles = [p1,p2];

Lastly we define the source, for example an incident plane wave () using a helper function.

source = plane_source(host_medium; direction = [1.0,0.0])

Once we have these three components, we can build our FrequencySimulation object

simulation = FrequencySimulation(particles, source)

To get numerical results, we run our simulation for specific positions and angular frequencies,

x = [[-10.0,0.0], [0.0,0.0]]
max_ω = 1.0
ω = 0.01:0.01:max_ω
result = run(simulation, x, ω)

The package also provides recipes to be used with the Plots package for plotting simulations after they have been run.

In our above simulation we ran the simulation for 100 different wavenumbers, and measured the response at the location (-10,0).

To plot the time-harmonic response across these wavenumbers type:

using Plots
plot(result)

For a better overview you can plot the whole field in space for a specific angular frequency by typing:

ω = 0.8
plot(simulation,ω)

This shows the field over a spatial domain for one particular angular frequency ω.

Note: most things in the package can be plotted by typing plot(thing) if you need an insight into a specific part of your simulation.

To calculate an incident plane wave pulse in time use:

time_result = frequency_to_time(result)
plot(time_result)

Or for a Gaussian impulse in time:

t_vec = LinRange(0.,700.,400)
time_result = frequency_to_time(result; t_vec = t_vec, impulse = GaussianImpulse(max_ω))
plot(time_result)

One way to learn the different features of this package is through the following examples.

Examples
Helmholtz resonator	Random particles
Choosing basis order	Particles in a circle
Times response lens	Statistical moments

This library was originally restructured from one written by Artur L Gower and Jonathan Deakin.

Contributions are welcome, and the aim is to expand this package to elasticity and electromagnetism.