The first-ever image of a black hole was captured by the Event Horizon Telescope team in 2019. It required a lot of observation data and processing. Researchers have now produced a finer image using even more data from a new source: models generated using machine-learning.
Astronomers from the Event Horizon Telescope project revealed the first-ever image of the black hole that sits at the center of our galaxy known as Sagittarius A*. It was produced using observation data collected from the network of telescopes situated around the globe. How much data must you compute to get an image of an object that’s 27,000 light-years away, is 4 millions times more massive than our Sun, from a network of telescopes that make a dish the size of the Earth?
The first-ever image of a black hole was revealed to the world by an international team of researchers from the Event Horizon Telescope (EHT) project in a culmination of years of work, astronomy and computer science feats. How much data must you compute to get an image of something that’s 55 million light-years away, has a mass 6.5 billion times that of our own sun, from a network of 8 telescopes that combine to make a dish the size of the Earth?
Astronauts aboard the much talked about and followed final Space Shuttle mission experienced a computer glitch and were found scrambling early Friday morning.
As the unexpected computer failure alert was signaled, the crew got down to finding out what was wrong and taking action to get business back to normal in the middle of the night.