The new LISA space observatory — a giant laser instrument — will capture gravitational waves, ripples in spacetime, from tens of thousands of white dwarf pairs — burned-out stars the size of Earth. Each pair emits its own rhythmic signal, but together they blend into an indistinct hum, like the cacophony of an orchestra before a concert.
For a regular computer to isolate each source, it would take hours to sift through possibilities. The neural network, trained on millions of virtual models using machine learning, handles it instantly. Like an experienced conductor, it picks out each instrument in the noise: determining the pair's orbital speed, distance, and position in the sky.
This analysis quickly traces the fate of white dwarfs, the birth of neutron stars and black holes, accelerating our understanding of stellar evolution and the structure of the galaxy.
Some white dwarf pairs orbit so close that they complete a full revolution in just a few minutes. Their dance gradually speeds up — and this reveals their mass and distance.
Reminiscent of a scene from Stanisław Lem's novel 'His Master's Voice,' where the characters also tried to extract a meaningful signal from chaos.