Neural Network Discovers New Galaxies Without Any Guidance ⚡ экспресс
Scientists used a smart algorithm that sorts distant galaxies by their spectra obtained from the James Webb Space Telescope. It's like a program sorting photos into albums without knowing in advance what's on them. This way, unusual types of galaxies were discovered that hadn't been distinguished before. What other surprises does the young Universe have in store?
The James Webb Space Telescope gathered thousands of spectra from distant galaxies—colorful fingerprints of their light. To avoid drowning in this diversity, astronomers tasked a program with sorting through the finds. But it acted like a naturalist on an unfamiliar shore: not knowing beforehand what species might appear, it arranged objects by their outward similarities. Instead of shells, it used spectral patterns. The algorithm itself identified families: the usual spirals and ellipticals, and among them, rare “blue pearls.”
Such an “automated biologist” will speed up archival sorting by hundreds of times and fish out anomalies worth a closer look. And so far, the first catch from Webb proves: even in cosmic routine, wonders are hiding.
🎯 The James Webb is so sensitive in the infrared that it could detect the heat of a bumblebee on the surface of the Moon.