US computer scientist Katie Bouman, who was unveiled to the public a few days ago, has become a sensation with her role in developing a computer algorithm that has allowed researchers to capture the world's first image of a black hole.
"I'm so excited we can finally announce what we've worked on over the last year!" The 29-year-old Bouman, a postdoctoral fellow at the Harvard-Smithsonian Center for Astrophysics, gushed on Wednesday after the image appeared compressed on her Facebook account that it creates a gravitational field from which even light can not escape. The massive black hole in the photo published Wednesday is 50 million light-years away at the center of a galaxy known as the M87.
While the existence of black holes has long been known, the phenomenon could not be detected.
To ensure the accuracy of the image, the Harvard-Smithsonian Astrophysics Center, operated by Harvard University, passed the data on to four different teams. Each team used the algorithm independently to get an image.
After a month of work, the four groups presented their results to the other teams.
"That was the happiest moment I ever had. [when] I saw that all the other teams had very similar pictures, with the bottom half brighter than the top half." It was amazing to see that everyone understood that "said Bouman to the Wall Street Journal.
Work as assistant professor at the California Institute of Technology (Cal Tech).
"It took the amazing talent of a team of scientists from all over the world and years of hard work to create the instrument, data processing, imaging methods, and analysis techniques necessary to make this seemingly impossible performance," she said on Facebook.
"It was truly an honor and I am so happy that I had the opportunity to work with you all."
First photo of a black hole confirms Einstein's Theory of Relativity
© 2019 AFP
Scientist superstar Katie Bouman designed algorithm for the image of a black hole (2019, April 11)
retrieved on April 11, 2019
This document is subject to copyright. Apart from a fair trade for the purpose of private study or research, no
Part may be reproduced without written permission. The content is provided for informational purposes only.