Richard Phillips Feynman was born on May 11, 1918 in New York, USA. Richard Feynman developed the mathematical tools that allowed him to arrive at quantum electrodynamics, the theory for which in 1965 he was awarded the Nobel Prize for physics. Over the years he received a number of national and international awards up to the National Medal of Science in 1979.
Richard Feynman died on February 15, 1988, leaving a considerable legacy in the scientific field for his contributions and also as a popularizer. In the following years he was remembered in various ways with tributes, biographies, new editions of his autobiographical works and much more.
Stephen Hawking, one of the most well-known figures in physics and astrophysics passed away in the night at his home in Cambridge, England.
Stephen Hawking’s studies on black holes for which he became famous remain crucial in the field of physics and astrophysics. I wonder if in the end he was still lucid enough to realize the bitter irony of dying on Albert Einstein’s birth anniversary. With his sense of humor perhaps his last emotion was amusement. He was an atheist so he didn’t have the comfort of a religion but that of the appreciation of life.
An article published in the journal “Nature” describes the application of neural networks to gravitational lensing. A team of researchers reduced from a few weeks to a few seconds the time needed to analyze complex space distortions in images captured thanks to gravitational lenses. This could greatly facilitate this type of task with great benefits for astronomical research.
The new “Backyard Worlds: Planet 9” initiative by NASA and various American institutions along with the Zooniverse platform was announced to allow anyone connected to the Internet to participate in the search for the ninth planet of the solar system. You can connect to the project’s website, examine images captured by the WISE space telescope and report any moving objects.
An article published in “The Astrophysical Journal Letters” describes the development and the application of machine learning algorithms to verify the stability of planetary systems. A team of researchers at the University of Toronto Scarborough led by Dan Tamayo experimented this new approach to this type of astronomical research by creating a method a thousand times faster than conventional ones.