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Katie Bouman: The woman behind the first picture of a black hole



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Media Caption Katie Bouman designed an algorithm that made the image possible

A 29-year-old computer scientist has made a name for himself worldwide to support the algorithm developed in developing the algorithm the very first image of a black hole.

Katie Bouman led the development of a computer program that made the breakthrough possible.

The remarkable photo showing a halo of dust and gas 500 million trillion kilometers from Earth was released Wednesday.

For Dr. med. Bouman, your creation was the realization of a project that was previously considered impossible.

Excited to adjust to the groundbreaking moment, Dr. Bouman pictured him loading the picture onto her laptop.

"I looked in disbelief as the first picture I ever made a black hole has just been reconstructed," she wrote in the caption of the Facebook post.

  • First black hole image published
  • WATCH: Picture "A dream comes true"

She began creating the book Three years ago, when she received her doctorate from the Massachusetts Institute of Technology (MIT), she directed the algorithm ,

There she led the project, supported by a team from MIT's Computer Science and Artificial Intelligence Laboratory, the Harvard-Smit Hsonian Center for Astrophysics and the MIT Haystack Observatory.

The image of a black hole taken with the Event Horizon Telescope (EHT) ̵

1; a network of eight telescopes – was created using the algorithm of Dr. Ing. Bouman created.

In the hours following the momentous publication of the photo, Dr. Bouman to an international sensation whose name tended on Twitter.

Image copyright
Reuters

Caption

The first photo of a black hole taken with a global telescope network

In a tweet, New York Democratic Member Alexandria Ocasio-Cortez wrote Ms. Bouman should take her "rightful place in history".

"Congratulations and thank you for your tremendous contribution to the advances of science and humanity," she tweeted. "Here's #WomenInSTEM!", Which stands for Science, Technology, Engineering, and Mathematics.

Dr. Bouman was also welcomed by MIT and the Smithsonian on social media.

"Three years ago, MIT student Katie Bouman created a new algorithm to create the first image of a black hole," wrote the MIT Science and Artificial Intelligence Lab. "Today this picture was published."

But Dr. Bouman, now Assistant Professor of Computer Science and Mathematical Sciences at the California Institute of Technology, insisted that the team that helped her deserve equal recognition.

More than 200 scientists were involved in the use of telescopes at sites between the Antarctic and Chile.

"None of us could have done it alone," she told CNN. "It came together because there were many different people from different backgrounds."

What do we know about the black hole?

  • The black eye, "invisible" to the naked eye, measures 40 billion kilometers or three million times the size of the earth
  • It was recorded over a 10-day period in the Messier 87 galaxy [19659010] scanned. It's "bigger than the size of our entire solar system," Prof. Heino Falcke of Radboud The Dutch university that proposed the experiment told the BBC

How did your algorithm create the image?

Put simply, Dr. Bouman and others have a set of algorithms that convert telescope data into historical photo media of the world.

In mathematics and computer science, an algorithm is a process or set of rules used to solve problems.

Not a single telescope is powerful enough to capture the black hole, so a network of eight has been set up to do this, a technique called interferometry.

The data collected was stored on hundreds of hard drives that were flown to central processing centers in Boston (USA) and Bonn (Germany).

Caption

The eventual EHT array will have 12 widely spaced radio devices

Bouman's method of processing this raw data was instrumental in creating the eye-catching image.

She introduced a test method in which several algorithms with "different assumptions" tried to recover a photo from the computer data.

The results of the algorithms were then analyzed by four separate teams to build confidence in the accuracy of their results.

"We are a melting pot of astronomers, physicists, mathematicians and engineers, and that's it. It took something you thought impossible," Dr. Bouman.


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