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

Somewhere in the night sky, a white dwarf star explodes with the brightness of a billion suns. Scientists have long used these stellar detonations, called Type Ia supernovae, as cosmic measuring sticks to track the Universe's expansion. But a new tool may soon make those measurements dramatically more powerful.

Researchers at the University of Barcelona have developed a framework called CIGaRS, published in Nature Astronomy, that uses artificial intelligence to extract far richer data from supernova observations using images alone, no expensive spectroscopic follow-up required.

"Unlike other frameworks, which require analytic simplifications, our no-compromise end-to-end simulation-based inference approach is uniquely capable of extracting the full cosmological and astrophysical information," says lead author Konstantin Karchev.

The timing is deliberate. The Vera C. Rubin Observatory in Chile is preparing to survey the sky for a decade, discovering millions of supernovae. CIGaRS could improve cosmological measurements by a factor of four, potentially reshaping our understanding of dark energy itself.