UFO Buster Radio News – 408: FRB 121102 Strikes Again, Algorithm Just Discovered 50 Planets, and Nibiru May Be A Real Thing!

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Mystery radio signal from space that’s on 157-day cycle just woke up right on schedule

Link: https://nypost.com/2020/08/25/mystery-radio-signal-from-space-thats-on-157-day-cycle-just-woke-up-right-on-schedule/

A mysterious radio signal beamed to Earth from a distant galaxy has been detected again by astronomers.

The so-called Fast Radio Burst repeats every 157 days with the power of millions of suns and its latest barrage arrived right on time last week.

Known as FRB 121102, scientists hope that studying the strange blinkering signal could unlock the secret to what FRBs are and where they come from.

Fast Radio Bursts are intense pulses of radio waves that last no longer than the blink of an eye and come from far beyond our Milky Way galaxy.

Their origins are unknown. Some think the energetic waves are the result of cosmic explosions, while others reckon they’re signals sent by aliens.

More than 100 FRBs have been discovered to date, but only a handful have repeated and fewer still in a predictable pattern.

Recurring bursts give scientists rare chances to study the origins of FRBs.

FRB 121102 is one of only two FRBs known to regularly repeat and its cycle was described for the first time by British scientists earlier this year.

Astronomers traced its origins to a star-forming region in a dwarf galaxy three billion light-years away.

During its cycle, bursts of milliseconds-long signals are emitted for 90 days before a quiet period lasting 67 days, for a total loop length of 157 days.

According to their paper, FRB 121102’s active phase is due to end between 31 August and 9 September 2020.

If telescopes continue to pick up bursts beyond these dates, then either its predictable pattern does not exist or has somehow evolved, they said.

Does Astronomy Need Humans? An Algorithm Just Discovered 50 New Alien Planets And May Find Many More

Link: https://www.forbes.com/sites/jamiecartereurope/2020/08/25/does-astronomy-need-humans-an-algorithm-just-discovered-50-new-alien-planets-and-may-find-many-more/#64a46111fdce

A new “machine learning” algorithm has confirmed the existence of 50 new exoplanets in data collected by NASA’s ground-breaking Kepler mission.

Although algorithms have for long been used to comb through the huge amounts of data from telescopes in the hunt for signs of planets, this is the first time that astronomers have used an algorithm based on “machine learning.”

There are currently 4,201 confirmed exoplanets, though probably billions more to discover in the Milky Way alone. Some lurk in data collected years ago—as is the case with this new discovery.

Machine learning is a form of artificial intelligence. It’s about automating repetitive tasks, essentially training a computer to recognise patterns and categorise data without any input from humans.

The example often given is that of photographs of cats and dogs. A computer program is given millions of images categorized as either cat or dog and the program then learns to identify them automatically; it creates a neural network.

How was machine learning used?

In this case, the algorithm was trained to recognise real planets using two large samples of confirmed planets and “false positives”—fake planets—from NASA’s now retired Kepler mission.

“The algorithm we have developed lets us take fifty candidates across the threshold for planet validation, upgrading them to real planets,” said lead author Dr. David Armstrong from the University of Warwick Department of Physics. “We hope to apply this technique to large samples of candidates from current and future missions like TESS and PLATO.”

What are the 50 planets like?

The 50 planets found using this new technique cover the entire gamut from smaller-than-Earth and likely rocky planets to Neptune-sized gas giants.

Orbits range from as long as 200 days to just a day.

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