New Technique Helps Hubble Users
- A new technique has been pioneered by astrophysicists that promises to aid users of the Hubble Space Telescope.
- The technique, called Machine Learning for Multiwavelength Analyses (MAMA), uses AI to help astronomers detect and classify galaxies observed by Hubble into different groups.
- MAMA can therefore identify galaxies that are obscured by dust and can also be applied to other telescopes and data sets.
Observatories on Earth Face More Problems
- However, while Hubble users may benefit from the MAMA technique, observatories on Earth are facing a worsening issue.
- The problem they face is the increasing number of satellites launched by companies like SpaceX, which put objects into orbit that can interfere with astronomical observations on the ground.
- These satellites can cause “satellite trails,” where lines of light from the satellites appear in astronomical images, obscuring the observations.
- In particular, the large number of small, low-cost satellites being launched is a major concern.
Astrophysicists have created a new technique called Machine Learning for Multiwavelength Analyses (MAMA) that uses AI to help users of the Hubble Space Telescope detect and classify galaxies. However, the increasing number of satellites launched by companies like SpaceX is causing problems for observatories on Earth, as the satellites can interfere with astronomical observations and cause “satellite trails” in images. This is a major concern, especially with the large number of small, low-cost satellites being launched.Original Article: https://www.wired.com/story/satellites-keep-photobombing-space-images-astronomers-need-a-fix/