US scientist Katie Bouman turns superstar for designing algorithm that developed black hole image

In 2016, Dr Katie Bouman developed an algorithm to sift through a true mountain of data gathered by the Event Horizon Telescope project from telescopes around the world to create an image.
In 2016, Dr Katie Bouman developed an algorithm to sift through a true mountain of data gathered by the Event Horizon Telescope project from telescopes around the world to create an image.PHOTO: KATIE BOUMAN/FACEBOOK

NEW YORK (AFP) - Anonymous to the public just days ago, a United States computer scientist named Katie Bouman has become an overnight sensation due to her role in developing a computer algorithm that allowed researchers to take the world's first image of a black hole.

"I'm so excited that we finally get to share what we have been working on for the past year!" the 29 year-old Dr Bouman, a postdoctoral researcher at the Harvard-Smithsonian Centre for Astrophysics, gushed on her Facebook account on Wednesday (April 10) after the image was published.

The term "black hole" refers to a point in space where matter is so compressed that it creates a gravity field from which even light cannot escape. The massive black hole in the photo released on Wednesday is 55 million light years away at the centre of a galaxy known as M87.

While the existence of black holes have been long known, the phenomenon proved impossible to witness.

In 2016, Dr Bouman developed an algorithm named CHIRP to sift through a true mountain of data gathered by the Event Horizon Telescope project from telescopes around the world to create an image.

The volume of data - several petabytes (several million billion bytes) - was contained in a mountain of computer hard drives weighing several hundred pounds that had to be physically transported to the Haystack Observatory in Westford, Massachusetts, operated by the Massachusetts Institute of Technology (MIT).

To guarantee the accuracy of the image, the Harvard-Smithsonian Astrophysics Centre, operated by Harvard University, gave the data to four different teams. Each team independently used the algorithm to obtain an image.

 
 
 

After a month of work, the four groups presented their results to the other teams.

"That was the happiest moment I've ever had (when) I saw all the other teams had images that were very similar, with the lower half brighter than the top half. It was amazing to see everyone got that," Dr Bouman told The Wall Street Journal.

"No one algorithm or person made this image," wrote Dr Bouman, who in the autumn will begin work as an assistant professor at the California Institute of Technology (CalTech).

"It required the amazing talent of a team of scientists from around the globe and years of hard work to develop the instrument, data processing, imaging methods, and analysis techniques that were necessary to pull off this seemingly impossible feat," she said on Facebook.

"It has been truly an honour, and I am so lucky to have had the opportunity to work with you all."