A cluster describes the geometry of N particles in a list,
r is a data.frame of 3 columns (x, y, z) and N rows
angles is a data.frame of 3 columns (x, y, z) and N rows
sizes is a data.frame of 3 columns (x, y, z) and N rows
The principal values of the inverse polarisability tensor of every particle are passed in a matrix Beta, with 3N rows (1/\(\alpha_x\),1/\(\alpha_y\),1/\(\alpha_z\)) for N particles, and Nlambda columns.
This matrix is formed from the sizes of the cluster, and the material and medium properties.
circular_dichroism_spectrum
dispersion_spectrum
cluster_chain
cluster_dimer
cluster_dimer_end
cluster_helix
array_factor
alpha_kuwata
equal_angles
equal_sizes
helix
inverse_polarizability
La
polarizability_ellipsoid
curve_povray
particles_povray
rgl.ellipsoid
rgl.ellipsoids
A is a 3Nx3N complex matrix
Adiag is a 3Nx3N complex matrix
Beta is a 3NxNlambda complex matrix
array_factor Dipole sum (truncated) for 2D square array
incident_field Calculate the incident field at each dipole location
block_diagonal Construct the diagonal blocks of the interaction matrix
interaction_matrix Construct the full interaction matrix
extinction Calculate the extinction cross-section for multiple incident angles
absorption Calculate the absorption cross-section for multiple incident angles
averaging Performs full angular averaging for both circular polarisations
average_spectrum Angular-average spectra for LCP and RCP polarisations
multiple_incident_field Incident field along multiple axes
dispersion Angle-resolved cross-sections for multiple directions of incidence
dispersion_spectrum Angle-resolved spectra for linear or circular polarisations
euler Euler rotation matrix
axis_rotation Rotation matrix about a cartesian axis