In the mid-20th century, astronomers discovered strange “clumpy” galaxies filled with mysterious bright blobs – massive stellar nurseries where stars are born at an explosive rate. Curiously, these clumpy galaxies were much more common in the early universe than they are today. We still don’t know why they vanished.
The Euclid space telescope, an ESA (European Space Agency) mission with critical contributions from NASA, has begun to capture images of millions of galaxies. These images – far more than any team of professional scientists could ever catalog alone – include high-definition views of clumpy galaxies that promise to reveal structure within and among the clumps. Astronomers hope to use these images to obtain new information about which galaxies host clumps, where the clumps are, how and why they evolved, and more – but they need your help!
To tackle this mountain of data, scientists are creating a “digital assistant” in the form of machine learning, a kind of artificial intelligence. The machine algorithm has been partially trained with results from an earlier project called “Galaxy Zoo: Clump Scout.” Now, as a volunteer for the new Galaxy Zoo: Clump Scout II project, you’ll improve and train this tool further. You’ll examine images of galaxies that the machine has labelled with squares where it thinks it sees a real clump. The machine often gets confused by distant stars or camera glitches. So you’ll gently move those squares around, delete them, or add new ones, to help the algorithm learn.
As a part of Galaxy Zoo: Clump Scout II, you will help investigate how giant star-forming nurseries formed, solve the mystery of their disappearance over cosmic time, and reveal more about how star formation really works in galaxies. All you need is a laptop or smartphone. Click here to learn more!
