AI finds hidden galactic evolution clues in over 100 galaxies


So, instead of using real data, the researchers generated a batch of 5 million fictitious spectra and used them to teach the neural network about what to look for: patterns often too subtle for a human eye to spot.

Then, the researchers set their neural network loose on data from the Sloan Digital Sky Survey III. 

When they did so, they pinpointed neutral carbon absorbers in 107 galaxies previously not known to possess these features.

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