pymiediff.multishell.angular_scattering

pymiediff.multishell.angular_scattering#

pymiediff.multishell.angular_scattering(k0, theta, r_layers=None, eps_layers=None, r_c=None, eps_c=None, r_s=None, eps_s=None, eps_env=1.0, backend='pena', precision='double', which_jn='recurrence', n_max=None) → dict#

Compute far-field scattering amplitudes and intensities.

Parameters:

  • k0 (tensor-like) – Vacuum wavevector(s), rad/nm.

  • theta (tensor-like) – Scattering angles in radians.

  • r_layers (tensor-like) – Geometry/material inputs (multilayer-first with legacy fallback).

  • eps_layers (tensor-like) – Geometry/material inputs (multilayer-first with legacy fallback).

  • r_c (tensor-like) – Geometry/material inputs (multilayer-first with legacy fallback).

  • eps_c (tensor-like) – Geometry/material inputs (multilayer-first with legacy fallback).

  • r_s (tensor-like) – Geometry/material inputs (multilayer-first with legacy fallback).

  • eps_s (tensor-like) – Geometry/material inputs (multilayer-first with legacy fallback).

  • eps_env (tensor-like) – Geometry/material inputs (multilayer-first with legacy fallback).

  • backend – Forwarded to mie_coefficients().

  • precision – Forwarded to mie_coefficients().

  • which_jn – Forwarded to mie_coefficients().

  • n_max – Forwarded to mie_coefficients().

Returns:

S1, S2, polarized intensities, and angular metadata.

Return type:

dict