AI finds 44 star systems that could hide Earth-like planets
A machine-learning model identified 44 known planetary systems that could contain undiscovered Earth-like planets. Tests reached up to 99% precision on simulated systems, but telescope observations have not confirmed the predicted planets. The approach uses the arrangement of known planets to help astronomers select promising targets for further searches. A planet already found around a distant star may offer clues about another world still hidden nearby. Its mass and orbit can carry traces of how the entire planetary system formed, including planets too small or faint for telescopes to detect. The model reached precision scores of up to 99% when tested on simulated planetary systems. That result measures performance within a computer-generated population. The predicted worlds around actual stars remain unconfirmed, and the method’s value will depend on follow-up observations. The bee swarm plot ranks seven features by importance, with SHAP values showing how strongly each feature influences individual predictions. (CREDIT: Jeanne Davoult et al, Astronomy & Astrophysics) Reading the arrangement of planets Planets form together within disks of gas and solid material surrounding young …
