Next: Algorithm
Improved Photometry of HST Data With Iterative/Recursive Deconvolution
Techniques
L. K. Fullton and B. W. Carney
Department of Physics and Astronomy,
CB 3255, Phillips Hall,
University of North Carolina at Chapel Hill,
Chapel Hill, NC 27599-3255
K. A. Janes
Department of Astronomy,
Boston University,
725 Commonwealth Ave., Boston, MA 02215
J. M. Coggins
Department of Computer Science,
CB 3175, Sitterson Hall,
University of North Carolina at Chapel Hill,
Chapel Hill, NC 27599-3175
P. Seitzer
Department of Astronomy,
830 Dennison Bldg., University of Michigan,
Ann Arbor, MI 48109-1090
Keywords:
Photometry Deconvolution Image-Restoration Clusters
Abstract:
Image restoration results are presented using a new iterative/recursive
method for removing a linear, spatially-invariant blur from an image.
We have implemented this algorithm and used it to restore Hubble Space
Telescope (HST) Planetary Camera images of the globular cluster NGC 6352.
The resulting color-magnitude diagram illustrates the photometric accuracy
which can be obtained from images deconvolved using our technique
with the PSFs currently available from the Space Telescope Science
Institute. If better PSFs become available, we believe the
color-magnitude diagram could improve significantly.
For comparison, we have analyzed the unrestored images with PSF-fitting
photometry.