Application of bispectrum analysis to infrared speckle data

Astronomy and Astrophysics – Astronomy

Scientific paper

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Binary Stars, Infrared Astronomy, Noise Spectra, Speckle Patterns, Spectrum Analysis, Algorithms, Fourier Transformation, Pixels, Transfer Functions, Weighting Functions

Scientific paper

The bispectrum algorithm is applied to one-dimensional infrared speckle data for retrieval of diffraction-limited phases using a standard weighting-averaging technique to combine the multiple phase estimates contained in the bispectrum. The bispectrum modulus is also used to obtain visibility amplitudes. Results, including images, are presented for three different binary stars. Simulated data have also been used to study the behavior of the algorithm under different signal-to-noise conditions, as well as a study of phase recovery for different defocus conditions. The algorithm is sensitive, at a low level, to focus changes, especially for noisy data. Comparison of the bispectrum phases is made with those obtained from Knox- Thompson cross spectra for all cases.

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