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Performance prediction of the AXAF Technology Mirror Assembly using measured mirror surface errors.

P Glenn, P Reid, A Slomba

|June 10, 2010

Summary

A new math model accurately predicts Technology Mirror Assembly (TMA) performance using scattering properties. This model accounts for various surface features and contamination, guiding future improvements.

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Area of Science:

Optical engineering
Materials science

Background:

Technology Mirror Assemblies (TMAs) are critical optical components.
Accurate performance prediction is essential for TMA design and validation.
Existing models may not cover the full range of surface features and environmental factors.

Purpose of the Study:

To develop a comprehensive mathematical model for TMA performance prediction.
To validate the model using new TMA data and X-ray test results.
To identify factors influencing TMA performance, including surface characteristics and contamination.

Main Methods:

Development of a scalar scattering model applicable to both large and small amplitude features.
Incorporation of power spectral densities and autocovariance functions across spatial bandwidths.
Analysis of TMA data from ~0.1-1000 mm(-1) spatial frequency range.
Consideration of assembly, alignment, and particulate contamination effects.

Main Results:

The developed model accurately relates measured TMA parameters to final performance.
The model's predictions align with experimental X-ray test data.
The study quantifies the impact of microroughness and broader spatial frequencies on performance.

Conclusions:

The scalar scattering model provides a robust tool for TMA performance prediction.
Understanding scattering properties and contamination is key to optimizing TMA performance.
Repolishing is expected to significantly enhance TMA performance based on model insights.