"Rio 2.0 Scale" –Astronomers Poised to Evaluate Signals from Extraterrestrial Civilizations | The Daily Galaxy

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By Editorial Team Published on July 20, 2018 12:51

“When a team of Russian astronomers reported in 2015 that a telescope in the Caucasus region had intercepted a mysterious signal from a distant star, talk of extraterrestrials was not far behind. As some asked: was this proof aliens were trying to contact us? The answer came soon enough. Follow-up observations from other telescopes failed to confirm the signal and researchers came to the conclusion that the source of the signal was far closer to home. The chances are it came from a passing plane or a person on a citizens band radio, or was down to a glitch in the telescope’s electronics.”

It was not the first time public excitement had been whipped up by signals that turned out to be proof of something far less exciting than an advanced extraterrestrial civilization, continues Layal Liverpool in The Guardian. And in expectation that more false signals will come, scientists have now created their own Richter-like scale to explain whether a finding is a damp squib or has truly seismic implications.

The new scale allows scientists to rate interesting signals detected in searches for extraterrestrial intelligence from 0 to 10, where 0 is nothing to get excited about and 10 is equivalent to “an alien space probe orbiting the Earth or an alien shaking your hand,” said Duncan Forgan, who worked on the project, at the University of St Andrews Center for Exoplanet Science.

There are many alternative explanations that need to be considered when evaluating a potential extraterrestrial signal. “There could be a problem with your telescope or a radio frequency coming from something on Earth,” Forgan said. “You might think you found an alien but actually you found a taxi rank.”

Known as Rio 2.0, the scale is a proposed upgrade of an existing Rio scale that is already used by the alien-hunting community. It assigns scores to SETI(“search for extraterrestrial intelligence”) signals by taking into account both the potential implications of the signal and the likelihood that it is genuine, rather than down to natural or human-made phenomena.

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