Robust regression applied to estimation of object parameters from astronomical speckle interferometry.

Details Robust regression applied to estimation of object parameters from astronomical speckle interferometry. Robust regression applied to estimation of object parameters from astronomical speckle interferometry.

Dec 1992

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1992josaa...9.2149f&link_type=abstract

Journal of the Optical Society of America A, Vol. 9, No. 12, p. 2149 - 2158

Computer Science

2

Scientific paper

The authors use robust nonlinear regression techniques to estimate the separation, brightness ratio, and orientation of binary stars. The authors perform the regression by fitting a binary-star model to a measurement of the object complex visibility obtained from infrared speckle data. Examination of χ2 for subplanes of the parameter range provides predictions of the accuracy required in the initial guesses at the parameters. The authors use the predictions to design an effective global search. The results of the global least-squares fit provide the necessary starting point for the robust regression. Using observational data, they show the robust regression solution to be superior to the conventional least-squares solution.

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