New AI tool 'kine' reconstructs movies of black hole plasma jets
Researchers led by Foschi and colleagues, publishing in Nature, developed an artificial-intelligence algorithm called kine that reconstructs continuous, movie-like views of relativistic plasma jets from black holes using sparse observational data. These jets, which blast material at over 98% of the speed of light, have historically been studied only through isolated snapshots, making it hard to trace their evolution over time.
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Astronomers have long struggled to understand jet dynamics because observations are infrequent and incomplete, akin to inferring a film's plot from a handful of stills. By filling in the gaps between observations, this AI approach could reveal how these extreme jets form, accelerate and change shape, offering a much richer picture of black hole environments than static imaging ever could.
- Kine is an AI algorithm that turns sparse black hole jet observations into continuous movie-like reconstructions.
- Relativistic jets move at more than 98% of the speed of light and are notoriously hard to study due to limited data.
- The technique, described in Nature by Foschi and colleagues, could transform how astronomers track jet dynamics over time.
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Published there as: “Plasma-jet movie is astronomy’s summer blockbuster”
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