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Proceedings Paper

Estimation of the point response function for undersampled data for the infrared camera of the Spitzer Space Telescope
Author(s): David Makovoz; Patrick Lowrance
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Paper Abstract

Point Response Function (PRF) is an important characteristic of the combination of an optical system and the detector array. It has various applications, such as accurate photometry and astrometry, image interpolation and deconvolution. We present a technique of PRF estimation for undersampled detectors. We present the results of application of this technique to the data taken by the Infrared Array Camera (IRAC) of the Spitzer Space Telescope. The technique capitalizes on the numerous observations of point sources that cover the whole detector array as well as the area of an individual pixel. Data fitting is used to center the point source images on the sub-pixel level and to normalize them by the point source flux. They are subsequently resampled and shifted to a common grid using bicubic interpolation. Great redundancy of the data allows for effective outlier rejection. The quality of PRF estimation is verified using simulated images and real images taken by the Spitzer Space Telescope.

Paper Details

Date Published: 16 September 2005
PDF: 12 pages
Proc. SPIE 5909, Applications of Digital Image Processing XXVIII, 590922 (16 September 2005); doi: 10.1117/12.617953
Show Author Affiliations
David Makovoz, California Institute of Technology (United States)
Patrick Lowrance, California Institute of Technology (United States)

Published in SPIE Proceedings Vol. 5909:
Applications of Digital Image Processing XXVIII
Andrew G. Tescher, Editor(s)

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