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Precision High-Speed Crowded-Field Image Analysis in Space
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| We propose to develop a photometric reduction software package implementing the Expectation-Maximization (EM) Algorithm, an iterative Maximum Likelihood method. This algorithm is highly suited to PSF fitting on images of crowded fields where blending makes standard fitting routines difficult and time-consuming. Such a solution would be extremely important in cases such as analysis of crowded images with very large focal planes, or onboard analysis of images from space-based instruments where optimized useage of CPU cycles is paramount. The software will be capable of fitting galaxy shapes and a variety of PSF shapes. |
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