An Australian astronomy team has successfully improved the image quality of the James Webb Space Telescope through an innovative method. The team developed a data processing technique capable of correcting image blur using the telescope's aperture masking interferometer, significantly enhancing its ability to detect faint celestial objects.
This technological breakthrough stems from an in-depth analysis of the imaging blur problem of the Webb Telescope. A study led by University of Sydney PhD student Louis Desdoigts found that at the single-pixel level, all images suffer from slight blurring due to electronic effects, posing a challenge for observing exoplanets that are thousands of times fainter than stars. The team successfully developed an image correction solution by building a computer model combined with machine learning.
Team members stated: "We built a computer model to simulate the optical physics of the aperture masking interferometer, allowing flexible changes to the shape of mirrors and apertures as well as the color of stars." This system enables researchers to calculate and eliminate blur in the data, restoring the full functionality of the aperture masking interferometer. The technology does not require any changes to the telescope's operations in space; the correction is performed during the data processing stage.
In validation experiments, the image-corrected HD 206893 system clearly showed the positions of a faint planet and the reddest known brown dwarf. Another study led by PhD student Max Charles applied the technology to complex celestial imaging, successfully tracking volcanic activity on Jupiter's moon Io, resolving the jet structure of the black hole at the center of galaxy NGC 1068, and mapping the dust bands around the binary system WR 137.
This solution to the imaging blur problem opens a new pathway for searching for unknown planets at higher resolutions. The image correction code developed by the team not only enhances the observational capabilities of the Webb Telescope but also provides a technical demonstration for the precise calibration of more complex space telescopes in the future.
