TL;DR
Astroalign is a Python module that accurately registers astronomical images by matching star patterns without relying on WCS data, facilitating image stacking and difference analysis under varying conditions.
Contribution
It introduces a novel WCS-independent algorithm using triangle matching for precise image registration in astronomy.
Findings
Effective in aligning images with different PSFs and atmospheric conditions
Does not require WCS information, simplifying the registration process
Suitable for image stacking and difference analysis
Abstract
We present an algorithm implemented in the astroalign Python module for image registration in astronomy. Our module does not rely on WCS information and instead matches 3-point asterisms (triangles) on the images to find the most accurate linear transformation between the two. It is especially useful in the context of aligning images prior to stacking or performing difference image analysis. Astroalign can match images of different point-spread functions, seeing, and atmospheric conditions.
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