Refinement

Refinement is performed by optimizing the merit function with respect to the layer thicknesses. You can select optimization method which suits your problem best. Optimization methods used by OptiLayer provide rapid convergence of the optimization procedure.

The goal of refinement and synthesis procedures is to design optical coatings with desired spectral (angular) characteristics. For this purpose, a set of construction parameters, the number of layers, the materials they are made of and their thicknesses, are varied to optimize a merit function. Refinement modes of OptiLayer utilize the most powerful first, second, and higher order optimization routines:

  • Hyper Newton method,
  • Modified damped least squares (Modified DLS)
  • Newton’s 2nd order method,
  • Quasi-Newton DLS,
  • Sequential Quadratic Programming (SQP) method,
  • Conjugate gradient method,
  • Steepest descent method.
quarter wave mirrorDesign of High Reflector: Starting design – Quarter wave mirror
high reflector high reflective coating
Spectral performances of two design solutions (high reflectors) obtained from the same starting design by two different optimization methods (Newton method and DLS method)

Look our video examples

Look our video examples at YouTube

OptiLayer videos are available here:
Overview of Design/Analysis options of OptiLayer and overview of Characterization/Reverse Engineering options.

The videos were presented at the joint Agilent/OptiLayer webinar.