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Application of a Fast Monte-Carlo Algorithm to the Problem of Photometry in Crowded Fields: CCD Data of NGC 121

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Abstract

The availability of large size linear detectors for astronomical research requires new approaches to the data analysis. The problems are two-fold (A) large information content and (B) the high speed of such detectors allows a rapid building up of untreated information. We describe here the results obtained by a Monte-Carlo Method, based upon a well defined knowledge of the point spread function. The method is used to derive 2-color (B, V) photometry in the magellanic cloud cluster NGC 121. The results are shown and the usefullness of the method is discussed.

© 1983 Optical Society of America

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