In 2019, an image of a black hole was first published: M87*. In fact, this photo was not the black hole itself, but silhouette which leaves matter that revolves around it. Nevertheless, it was an unprecedented discovery that received wide recognition on the world scientific stage. But there was a problem. There were gaps in the image as it was not possible to use a telescope as large as would be needed. Fortunately, artificial intelligence came to the rescue, and now, thanks to her, a much more accurate updated image of the same black hole that was first discovered in 2019 has been published again.
The image was posted in 2019, but it was made in 2017 thanks to a collaboration Event Horizon Telescope (EHT). It was estimated that a telescope the size of the entire planet Earth would be required to capture the image. It was logically impossible, so they took seven separate telescopeslocated around the world so that you can get an approximate result. This is how the image of the black hole M87* was obtained. But, logically, the result is not the same as it would be if the whole Earth was covered with telescopes.
Some gaps had to be filled, which were filled thanks to an artificial intelligence algorithm called COUSIN. Now we have a much closer image of this black hole, which will make it much easier to study.
Artificial intelligence will recycle the image of a black hole
Artificial intelligence algorithms can achieve a variety of goals, but they all they are training The same way. Basically they are given lots of dataSo study To find patterns Help them solve puzzles. So an AI that has seen multiple mammograms can identify a small spot that will eventually turn into cancer. And one who has analyzed all of Beethoven’s work will be able to fill in the gaps in an unfinished score.
In this case, PRIMO analyzed 30,000 high quality simulated images black holes. Of course, these are just simulations, but they were built on the physical data about black holes that have been studied in recent decades. This allowed the artificial intelligence algorithm to come up with a very specific idea of how it should look like. M87*. And so, after analyzing an image of a black hole taken in 2017, he was able to complete it as if it had actually been captured by an Earth-sized telescope.
new photo
The new image of the black hole M87* is much sharper than the previous one. In addition, as explained in a statement by the lead author of the study, Leah Medeiros“He ring width the image is now about half as large, which will be a serious limitation for our theoretical models and gravity tests.”
This is very important because you cannot go into a black hole. You can’t get the probe close to it without being swallowed, so we’re left with only images, either simulated or derived from a silhouette, e.g. M87*. In this case, we have a real image of a silhouette created from AI machine learning that has analyzed thousands of simulations. This is the most comprehensive black hole graphic document we have. Undoubtedly, artificial intelligence again hit the nail on the head.
Source: Hiper Textual
