A new AI-powered framework could transform how astronomers measure the expansion of the Universe. By analyzing images of Type Ia supernovae and modeling their environments in unprecedented detail, researchers can estimate cosmic distances with near-spectroscopic accuracy. The technique is designed for the flood of data expected from the upcoming Vera C. Rubin Observatory and may greatly improve our understanding of dark energy.
from Top Technology News -- ScienceDaily https://ift.tt/EhpZFKj
Monday, 29 June 2026
Millions of exploding stars could soon reveal dark energy's secrets
Top Technology News -- ScienceDaily
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