AI Discovers 44 Star Systems Where Earth-like Life is Possible
Revolutionary research by Swiss scientists opens new horizons in the search for extraterrestrial life. Their artificial intelligence model has identified 44 star systems where Earth-like planets could potentially exist. This represents a significant breakthrough in astronomy and exoplanet research.
Artificial Intelligence Expands the Boundaries of Space Research
Swiss scientists have developed an innovative artificial intelligence model that has successfully identified 44 star systems with potentially habitable planets. According to the research published in Astronomy and & Astrophysics, as reported by Futurism, the model achieved an impressive 99% accuracy in detecting systems where Earth-like planets might exist.
To train the algorithm, the team used a unique approach due to the limited number of known exoplanets – currently, only 5,800 planets outside the Solar System have been confirmed. Instead of real data, researchers used synthetic planetary systems created using the Bern Model of Planet Formation and Evolution.
“This is one of the few models in the world with such a level of complexity and depth that allows for predictive studies like ours,” explains study co-author Dr. Yann Alibert, co-director of the Center for Space and Habitability at the University of Bern.
The researchers analyzed nearly 1,600 systems containing at least one known planet and a G-type star (similar to the Sun), K or M stars (smaller and cooler stars). The algorithm detected the strongest signs of Earth-like planets, focusing on two key parameters: planet mass and their orbital periods.
However, the model has certain limitations. It does not reproduce some observed characteristics of stellar systems, such as the frequent occurrence of Super-Earths together with cold Jupiters around Sun-like stars. Also, synthetic planets in the model are usually located closer to their stars than observed in reality.
Despite these limitations, the developed model significantly narrows down the search area for potentially habitable planets in the vast cosmic space. This is particularly important given the difficulty of detecting exoplanets due to their small size compared to stars and low light emission.
The research results open new perspectives for astrobiology and the search for extraterrestrial life, providing astronomers with specific targets for further observations and research.
This research ushers in a new era in the search for extraterrestrial life, where artificial intelligence becomes a key tool for astronomers. While the model needs improvement, it already helps significantly narrow down the search area for potentially habitable planets in our galaxy.
