Millions of exploding stars could soon reveal dark energy's secrets

According to ScienceDaily, researchers have developed an AI framework that could transform how we measure cosmic expansion. By analyzing images of Type Ia supernovae—exploding stars—and modeling their surrounding environments in unprecedented detail, the technique estimates cosmic distances with near-spectroscopic accuracy. The method is designed for the massive flow of data from the upcoming Vera C. Rubin Observatory and may greatly improve our understanding of dark energy.

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