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Project: Sensitivity Analysis for System-Level Simulations

Description

Deriving and visualizing the impact of parameter change to down-stream variables

We have models to run simulations of different systems and their sub-components, which allows to optimize configurations for the scanner to achieve a given objective.

Some parameters in the scanner are expected to have a greater impact on a variable of interest. To understand the interdependencies, a sensitivity analysis is a good tool.

In this project, the student will implement a sensitivity analysis using the Virtual Scanner dependency. The resulting interdependencies will be stored and analyzed.

The student will then develop visualization techniques to interactively understand the interdependencies in a multi-dimensional setting.

Requirements / Skills

  • (Advanced) Visualization knowledge
  • (Basic) SW Engineering skills
  • (Basic) Knowledge of PyTorch and ML
  • Javascript visualization libraries (e.g., D3.js)
  • React

Expected Deliverables

  • A method to execute sensitivity analysis in torch using the Virtual Scanner dependency graph
  • A set of visualizations in React.js to analyze the variable interdependencies

The project will be supervised by Nicola Pezzotti at ASML Research and Stef van den Elzen and/or Anna Vilanova at TUe. The student is expected to be at ASML in Building 7 for 3 days a week

Details
Supervisor
Stef van den Elzen
Secondary supervisor
Anna Vilanova
External location
ASML
Interested?
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