Researchers ask for your help to identify Jupiter’s clouds, so you can participate
We are obtaining incredible images of Jupiter, and now comes the most complicated part: cataloging them to extract information.
After 5 years of travel, the Juno space probe of NASA reached the orbit of Jupiter in 2016. Since then it has carried out 40 orbits around the largest planet in the Solar System, capturing 60,000 full-color, high-resolution photographs of Planet Rome.
It is an immense information ready to catalog, which for a small team of researchers from the University of Minnesota and NASA, would mean years of work.
That’s why They have asked for help from anyone who wants to participate, since the task is simple: locate vortices in the clouds of jupiter.
The vortices are a special kind of oval cloudssimilar to satellite photos of hurricanes and tropical storms on Earth.
The researchers need to identify them in all the photos, because then they can begin to find a pattern that allows them to figure out how they form.
Typically this is done by machine learning, with an artificial intelligence, but for this to be possible first you have to train the AI. And that is only possible with images of real vortices… which humans first have to identify.
That is why these researchers have launched the collaborative project Jovian Wortex Hunter.
Anyone can sign up to help find cloud vortices on Jupiter. A short tutorial explains what vortices are, and how to identify them. Then you have to review photos of Jupiter captured by the Juno spacecraft to look for those vortices, until you get tired. You can return to the task whenever you want.
Even though several people offer different results for the same photothat is also valuable information for researchers, because it could mean that have found a mismatch or odditywhich is worth investigating further.
At the moment this research project is proving to be a great success. 765 volunteers have already signed up, which have carried out more than 79,000 identifications, and have found almost 20,000 vortices. Total, 41% of the photos have already been analyzed.
With this material they hope to train an AI, so that it does the heavy work automatically, and much faster.
If you want to participate, sign up on the website of Jovian Wortex Hunter.