Digital Image Centering with the Maximum Likelihood Method

Details Digital Image Centering with the Maximum Likelihood Method Digital Image Centering with the Maximum Likelihood Method

Aug 1993

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1993a%26a...275..349l&link_type=abstract

Astronomy and Astrophysics, Vol.275, NO. 1/AUG(I), P. 349, 1993

Astronomy and Astrophysics

Astrophysics

1

Astrometry, Techniques: Image Processing, Methods: Data Analysis

Scientific paper

Digital image centering with the maximum likelihood method is described and applied to PDS measured star image densities. The comparison of the method with two-dimensional Gaussian fitting shows that, for bright and unsaturated images, both algorithms give similar accuracies; for saturated or faint images, the present algorithm is better than two-dimensional Gaussian fitting. With the maximum likelihood method, some systematic effects such as coma and magnitude equation can be reduced significantly.

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