Workflow: stress-to-image

Generate synthetic polarimetric image data from a stress map.

Prerequisites

• Stress map file with shape [H, W, 3]
• Material/optics parameters:
• thickness
• wavelengths (or legacy lambda_light)
• C (scalar or per-wavelength)
• optional S_i_hat

Minimal Config

{
  stress_filename: "stress.npy",
  thickness: 0.01,
  wavelengths: [650, 550, 450],
  C: [3e-9, 3e-9, 3e-9],
  S_i_hat: [1.0, 0.0, 0.0],
  output_filename: "synthetic_stack.tiff"
}

Command

stress-to-image params.json5

Output Modes

• Stack output (.tiff/.tif/.npy/.raw): full [H, W, n_wavelengths, 4] synthetic data
• Plot output (.png/.jpg/.jpeg): 2-panel fringe/isoclinic visual

Example plot output config:

{
  stress_filename: "stress.npy",
  thickness: 0.01,
  wavelengths: [550],
  C: 3e-9,
  output_filename: "fringe.png"
}

Common Failure Modes

• Missing stress map path:
• provide stress_filename (or legacy s_filename)
• Missing wavelengths:
• provide wavelengths or legacy lambda_light
• C must be scalar or length N:
• align C length with wavelength count
• Unsupported output extension:
• use one of the supported extensions above
• S_i_hat must have length 2 or 3:
• pass [S1_hat, S2_hat] or [S1_hat, S2_hat, S3_hat]