Scientists caught radio waves from other worlds with the help of AI

Scientists caught radio waves from other worlds with the help of AI

Humans have always been interested in unraveling the mysteries of the universe away from Earth. For this kind of discovery, the astronomy program 'Breakthrough Lisson', running at a cost of $ 100 million, has been a big success. Scientists have received waves from the outside world. Researchers say that the possibility of life in the waves from which the waves are coming cannot be ruled out.

With the help of Artificial Intelligence (AI), scientists have detected 72 new fast radio explosions (FRBs) coming from FRB-121102, according to an announcement made late Monday. Let us tell you that this galaxy is about 3 billion light-years away from our Milky Way 'Milky Way'.

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Let us tell you that the first announcement regarding the identification of FRB-121102 was made last year and the credit for this discovery goes to the postdoctoral researcher Dr. Vishal Gajjar of the University of California, Berkeley. Dr. Vishal originally hails from Gujarat.

Fast radio bursts or FRBs are, in fact, radio waves coming from distant galaxies of very short duration (in mere milliseconds). It was first caught with the Parks telescope in Australia. FRBs were then recognized worldwide through several radio telescopes.

On Monday, a breakthrough was reported by Lisson, 'Most FRBs were identified during an explosion (release of waves). In contrast, FRB-121102 is the only galaxy from which continuous waves are emitting. In 2017, a total of 21 bursts were identified with the help of the Green Bank Telescope (GBT) in West Virginia under the supervision of Breakthrough Lisson. '

Breakthrough Initiative Executive Director Pete Vorden said the latest monitoring has not led to all the discoveries. The existing database has been updated to include the new case. "Our knowledge about one of the most intriguing puzzles in space has increased," he said. The FRB-121102 was detected last year after 5 hours of monitoring and analysis under the leadership of Dr. Vishal. The team at Lisson Science has now also developed a new, powerful machine-learning algorithm that has re-analyzed the 2017 database, which revealed 72 new FRBs.

Scientists say the discovery of new FRBs will help in understanding how powerful these mysterious sources are. Gerry Zhang, the research student developing the algorithm, said that this is the beginning of using these methods to detect radio transients. It is hoped that later on, such signals will be able to be caught which were missed by the classical algorithm. Along with understanding FRBs, Breakthrough Lisson is expanding the scope of understanding the vast universe that surrounds us.