Data driven drift correction for complex optical systems

Area of Science:

• Physics
• Experimental Physics
• Optical Engineering

Background:

• Modern light sources offer increased spectral brightness, enabling intricate experiments.
• Maintaining precise beam trajectory is crucial for these experiments.
• Active drift control is necessary to preserve beam stability over time.

Purpose of the Study:

• To introduce time varying Bayesian optimization (TVBO) as a data-driven method for robust drift correction.
• To demonstrate TVBO's application in a complex split and delay optical system.
• To showcase TVBO's adaptability for real-life experimental conditions.

Main Methods:

• Utilized numerical simulations to test TVBO.
• Applied TVBO to a system with six crystals and twelve input dimensions.
• Investigated TVBO for linear, non-smooth temporal drift, and constrained multi-objective control.

Main Results:

• TVBO demonstrated effective drift correction for various drift types.
• Constrained TVBO successfully handled multi-objective control settings.
• The approach proved robust under simulated real-life conditions.

Conclusions:

• TVBO is a powerful data-driven approach for maintaining beam stability.
• This method is adaptable to various X-ray beam conditioning and guidance systems.
• TVBO can ensure sub-micrometer and nanoradian beam stability for hours-long experiments.