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Off-axis effects in a mosaic Michelson interferometer.

B K Yap1, W A Blumberg, R E Murphy

  • 1Yap Analytics, Inc., Lexington, Massachusetts 02173, USA.

Applied Optics
|April 20, 2010
PubMed
Summary
This summary is machine-generated.

This study derives interferogram equations for a Michelson interferometer with detector arrays. It details how detector size and position impact the instrumental line shape function (ILF), comparing theory with lab results.

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Area of Science:

  • Optical Physics
  • Interferometry
  • Spectroscopy

Background:

  • Michelson interferometers are crucial for spectral measurements.
  • Understanding detector effects is key to accurate interferogram analysis.
  • Mosaic detector arrays introduce complexities in data interpretation.

Purpose of the Study:

  • Derive interferogram equations for Michelson interferometers using mosaic detector arrays.
  • Quantify the impact of detector field subtense and optical axis displacement on the instrumental line shape function (ILF).
  • Compare theoretical ILF predictions with experimental laboratory measurements.

Main Methods:

  • Formulation of interferogram equations for a mosaic detector array.
  • Numerical computation of ILF variations based on detector subtense and displacement.
  • Theoretical modeling of ILF dependence on system parameters.
  • Experimental validation of theoretical ILF predictions.

Main Results:

  • The study successfully derived the relevant interferogram equations.
  • Numerical computations revealed significant effects of detector subtense and displacement on the ILF.
  • Theoretical predictions showed clear dependencies of ILF on various system parameters.
  • Experimental ILF measurements closely matched the theoretical predictions.

Conclusions:

  • The derived equations accurately describe Michelson interferometer performance with mosaic detector arrays.
  • Detector field subtense and displacement are critical factors influencing the ILF.
  • The theoretical framework provides a reliable tool for predicting and understanding ILF in such systems.