Gaia Could Detect Free-Floating Black Holes Passing Near Stars in the Milky Way

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Gaia Could Detect Free-Floating Black Holes Passing Near Stars in the Milky Way
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Gaia's extremely precise location measurements of over a billion stars could help detect rogue black holes passing near them. If there are any, anyway - by AndyTomaswick

Recent Fraser video discussing the discovery of the mass of the first rogue black hole.

The first paper looked at how scientists could use Gaia’s data to pick up on signatures of those dark companions. The second focused on whether the data contains hints of very long binary orbital relationships with orbital periods that outlast the observational timeline. Both of those studies point to valid analyses that someone will undoubtedly undertake now that the Gaia data is released. However, they don’t address what is potentially the most interesting of all dark companions – black holes.

Estimates put the number of black holes in the Milky Way at between 10 million and 1 billion, between .01% and 1% of the probable total number of stars in the galaxy. But most of these are only the size of a star and extremely hard to detect using conventional data. Their pull might just be noticeable in Gaia’s data set, though.

Gaia itself collects astrometry data, which detects the position, motions, and magnitudes of stars. Any interaction, however fleeting, with a black hole, could potentially affect any of these metrics. It’s just a matter of understanding what to look for.That might not be so easy, as the complex math and “extreme assumptions” that the Andrews papers details make clear. He notes that about 300,000 stars in Gaia’s catalog are exhibiting acceleration events.

But that doesn’t mean it isn’t possible to detect any such interaction with Gaia. In fact, Andrews believes that it is possible, with some more assumptions about how the galaxy itself is structured. A rogue black hole transiently interacting with a luminous star is just a rare event that most likely Gaia didn’t capture it during its observational period.

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