Scientists are using a new method to understand dark energy better, leveraging AI and data from the Vera C. Rubin Observatory. The research focuses on Type 1a supernovae, the explosions of so-called “cannibal stars,” which help measure cosmic distances.
The new approach allows for more accurate calculations of the brightness of these explosions, while accounting for the galaxy’s environment and other factors. This is important because it was through these supernovae that the acceleration of the universe’s expansion was discovered to be due to dark energy.
