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Introduction to Kallistos. B. Luyssaert. What is Kallistos ?. Although commercialised by another company, Kallistos is an extension of FimmWave Optimisation tool capable of automatically improving existing photonic devices Contains several robust optimisers (local and global)

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what is kallistos
What is Kallistos ?
  • Although commercialised by another company, Kallistos is an extension of FimmWave
  • Optimisation tool capable of automatically improving existing photonic devices
  • Contains several robust optimisers (local and global)
  • Takes advantage of eigenmode expansion equations
the following
The Following
  • assumes a basic knowledge of FimmWave and FimmProp
  • is based on an example that is delivered with Kallistos
    • project: learn_kallistos.prj
    • source node: example_MMI
slide4

W

L

D

Defined structure = MMI-coupler (defined using shapes, 2D, no PML)

slide8

Symbol1: select a node

Select the node of the project you want to be optimised, in this case example_mmi

slide10

Symbol3: Settings, PART 1: Optimiser Settings

Global :

search through the entire parameter space

slide11

Symbol3: Settings, PART 2: Independent Variables

Define the parameters you want to be changed and the boundaries of the parameter space

slide12

Symbol3: Settings, PART 3: Dependent Variables

Cdev = current device = selected node

To know the number of each shape = watch command-line window during constructing of the node

TIP:

<TAB> = autocompletion

slide13

Symbol3: Settings, PART 4: Objective

  • 4 predefined objective functions:
  • total power
  • forward power
  • backward power
  • mode power

User Defined Objectives: see manual

slide14

Symbol5: Run, PART 1: Tree View

Watch the evolution of the optimisation

Blue is bad, Red is good

Crude scanning:

Parameter space is divided in 2, middle point is evaluated, then best part is again divided in 2, evaluated, ...

slide15

Symbol5: Run, PART 2: Hypercube View

Watch the evolution of the optimisation

Blue is bad, Red is good

View a cross section of the parameter space hypercube and the quality of the points projected onto it

slide16

Symbol5: Run, PART 3: Data View

Watch the evolution of the optimisation

Shows the details of every calculated point and also the very best point with the related parameter values

slide18

Symbol5: Run, Local Optimiser

Optimise locally around best point

slide19

Symbol5: Run, Local Optimiser, Line Path View

Watch the evolution of the local optimisation

Top:

evolution of objective function

Bottom:

evolution of parameters

slide21

Symbol7: Open Previous run

Use: Suppose that you also would like to locally optimise the second best point of the global run

Symbol6: Delete Current Run

Symbol4: Block Editor

Use: Input in text format, rather intuitive

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