Interferogram apodization 2026-10-20
Multiplying a finite interferogram by a smooth window reduces sharp-edge artifacts. In the recovered radiation spectrum this convolves the true spectral density with the window's Fourier transform. Smoother windows generally lower sidelobes while broadening the main lobe, so a resolution figure must specify the window and criterion. Apodization does not recover unmeasured long-delay information.[ref]
Introduction to Fourier Transform Spectroscopy by Julius Cohen. chapter 14, printed pp.57–62, and chapter 15: sidelobe/resolution tradeoff
Julius Cohen 2026-10-20
Author of Introduction to Fourier Transform Spectroscopy by Julius Cohen, written in the Radiometric Physics Division of the National Bureau of Standards.
In Fourier transform spectroscopy, a scanning Michelson interferometer measures intensity against optical path difference rather than selecting one narrow wavelength at a time. After subtraction of the constant background, an ideal stationary source gives an interferogramA cosine Fourier transform recovers the spectral power density after instrumental calibration. A mirror displacement changes the round-trip path by ; the zero-path-difference burst aligns the scan, and a reference laser can calibrate the displacement.
Finite maximum path difference multiplies the interferogram by a window and convolves the recovered radiation spectrum with that window's Fourier transform. Thus is of order ; precise factors depend on scan range and resolution convention. Uniform path samples of separation need to avoid aliasing without bandpass information. interferogram apodization reduces sidelobes at the price of broader lines. The broad accepted optical throughput can be advantageous; the multiplex signal-to-noise advantage depends on detector noise and is not universal in photon-noise-limited measurements. Source drift during a scan, finite beam divergence, imperfect sampling and wave phase errors require control. The finite-window reasoning is the delay-range resolution in Fourier transform spectroscopy.[ref]
Introduction to Fourier Transform Spectroscopy by Julius Cohen. NBSIR 86-3339, chapters 13–16, printed pp.51–80: basic equation, apodization, resolution and sampling