Abstract
A new approach is proposed and developed to handle pre-processed CCD frames in order to identify stellar images and derive their relevant parameters. The present method relies on: 1) identifying stellar images and assigning approximate positions of their centres using artificial intelligence techniques, 2) accurate determination of the centre coordinates applying an elementary statistical concept and 3) estimating the image peak intensity as a stellar magnitude measure employing a simple numerical analysis approach. The method has been coded for personal computer users. A CCD frame of the star cluster M67 was adopted as a test case. The results obtained are discussed in comparison with the DAOPHOTII ones and the corresponding published data. Exact coincidence has been found between both results except very few cases. These exceptions have been discussed in view of both methods' bases and the cluster plates. It has been realized that the method suggested exhibits very simple, extremely fast and high precise approach in stellar CCD photometry domain. Moreover, it is more capable for handling blended and distorted stellar images than the DAOPHOTII. These characteristics show the usefulness of the present method in some astronomical applications such as auto-focusing and auto-guiding sensing approaches beside the main purpose, viz. stellar photometry.
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Alawy, A.EB. Stellar CCD Photometry: New Approach Principles and Application. Astrophysics and Space Science 277, 473–495 (2001). https://doi.org/10.1023/A:1012547423341
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DOI: https://doi.org/10.1023/A:1012547423341