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| Paper: |
Infrared Jitter Imaging Data Reduction: Algorithms and Implementation |
| Monograph: |
6, Twenty Years of ADASS |
| Page: |
53 |
| Authors: |
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| Abstract: |
Jitter imaging (also known as microscanning) is probably one of the most efficient ways to perform astronomical observations in the infrared. It requires very efficient filtering and recentering methods to produce the best possible output from raw data. This paper discusses issues attached to Poisson offset generation, efficient infrared sky filtering, offset recovery between planes through cross-correlation and/or point pattern recognition techniques, plane shifting with subpixel resolution through various kernel-based interpolation schemes, and 3D filtering for plane accumulation. Several algorithms are described for each step, having in mind an automatic data processing in pipeline mode (i.e., without user interaction) as intended for the Very Large Telescope. Implementation of these algorithms in optimized ANSI C(the eclipse library) is also described here. |
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