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Astronomers Reveal Milky Way's Central Black Hole Spinning at Maximum Speed Towards Earth

WHAT'S THE STORY?

What's Happening?

A recent analysis has revealed that the Milky Way's central black hole, Sagittarius A*, is spinning at maximum velocity with its axis aimed almost directly at Earth. This discovery was made using data from the Event Horizon Telescope, which previously released the first image of a black hole in 2017. The study, led by Michael Janssen of Radboud University, utilized a Bayesian neural network to analyze the data, revealing a high spin rate of about 0.8 to 0.9. The orientation of the black hole's axis is nearly aligned with Earth's line of sight, suggesting a distinct signal profile in polarized light. The findings indicate that the light near the black hole is dominated by extremely hot electrons in the surrounding accretion disk rather than a jet.
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Why It's Important?

The discovery of Sagittarius A*'s spin and orientation has significant implications for understanding black hole dynamics and their influence on surrounding cosmic structures. A high spin rate suggests substantial rotational energy that can shape plasma flows and potentially power jets. The alignment of the spin axis with Earth provides a unique opportunity for astronomers to study the black hole's characteristics in detail. This research enhances the understanding of black hole physics and contributes to the broader field of astrophysics by offering insights into the behavior of supermassive black holes and their role in galaxy formation and evolution.

What's Next?

Future observations with new stations, increased bandwidth, and higher frequencies are expected to refine the constraints on Sagittarius A*'s spin and orientation. The planned Africa Millimetre Telescope in Namibia will extend the observational capabilities into the Southern Hemisphere, providing sharper views of the black hole. These advancements will allow astronomers to test models of magnetic field interactions and energy flows, potentially distinguishing between similar fits and converting theoretical hints into concrete data.

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