transfer#
- optika.materials.matrices.transfer(wavelength, direction, polarized_s, thickness, n, normal)[source]#
Compute the transfer matrix for a homogenous slab of material using
refraction()andpropagation().- Parameters:
wavelength (Quantity | AbstractScalar) – The wavelength of the incident light in vacuum.
direction (AbstractCartesian3dVectorArray) – The propagation direction of the incident light in vacuum.
polarized_s (bool | ScalarArray) – If
True, the incident light is \(s\)-polarized. IfFalse, the incident light is \(p\)-polarized.thickness (Quantity | AbstractScalar) – The thickness of the homogenous slab.
n (float | AbstractScalar) – The index of refraction of the material
normal (AbstractCartesian3dVectorArray) – The vector perpendicular to the surface of the slab.
- Return type:
Examples
Compute the transfer matrix of a 10-nm-thick slab of silicon dioxide for normally-incident \(s\)-polarized light.
import astropy.units as u import named_arrays as na import optika # Define the wavelength of the incident light wavelength = 100 * u.AA # Initialize a representation of silicon dioxide sio2 = optika.chemicals.Chemical("SiO2") # Compute the transfer matrix optika.materials.matrices.transfer( wavelength=wavelength, direction=na.Cartesian3dVectorArray(0, 0, 1), polarized_s=True, thickness=10 * u.nm, n=sio2.n(wavelength), normal=na.Cartesian3dVectorArray(0, 0, -1), )
Cartesian2dMatrixArray( x=Cartesian2dVectorArray( x=ScalarArray( ndarray=1.09467745+0.10594609j , axes=(), ), y=ScalarArray( ndarray=-0.00294397-2.92892363e-05j , axes=(), ), ), y=Cartesian2dVectorArray( x=ScalarArray( ndarray=0.00294397+2.92892363e-05j , axes=(), ), y=ScalarArray( ndarray=0.90502585-0.08759121j , axes=(), ), ), )Notes
If \(W_{kij}\) is the refractive matrix for the interface on the left side of the slab (computed using
refraction()), \(U_{kj}\) is the propagation matrix for the slab (computed usingpropagation()), and \(W_{kji}\) is the refractive matrix for the right side of the slab, then the transfer matrix for the slab can be computed using the product of these three matrices:(1)#\[T_{kj} = W_{kij} U_{kj} W_{kji}\]References to
optika.materials.matrices.transfer