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Health & Science4h 10m ago

Xin "Cindy" Xiang has developed a method using XRISM data to predict when galaxy-shaping winds from black holes are strongest, providing the first direct timing link to outflows and helping explain why some galaxies are missing stars.

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Pasadena, California

Who
Xin "Cindy" Xiang, Jon Miller
What
Xin "Cindy" Xiang has developed a method using XRISM data to predict when galaxy-shaping winds from black holes are strongest, providing the first direct timing link to outflows and helping explain why some galaxies are missing stars.
When
Mon, 15 Jun 2026 21:20:00 GMT · 4h 10m ago
Where
Pasadena, California ·
Why
Black hole winds can blow away the gas that galaxies need to form new stars, leading to a discrepancy between theoretical expectations and the observed stellar mass in massive galaxies.
The Frontline Impact

How this affects you

This research provides a novel method for astronomers to analyze data and predict black hole outflow events, deepening understanding of how active galactic nuclei influence star formation across the universe. It addresses a cosmic mystery regarding missing stars in massive galaxies.

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