Tag: kepler space telescope

Google Discovers New Planet Which Proves Solar System Is Not Unique

The Kepler-90 star system has eight planets, like our own

Google has previously discovered lost tribes, missing ships and even a forgotten forest. But now it has also found two entire planets.

The technology giant used one its algorithms to sift through thousands of signals sent back to Earth by Nasa’s Kepler space telescope.

One of the new planets was found hiding in the Kepler-90 star system, which is around 2,200 light years away from Earth.

The discovery is important because it takes the number of planets in the star system up to eight, the same as our own Solar System. It is the first time that any system has been found to have as many planets ours.

Andrew Vanderburg, astronomer and Nasa Sagan Postdoctoral Fellow at The University of Texas, Austin, said: “The Kepler-90 star system is like a mini version of our solar system.

You have small planets inside and big planets outside, but everything is scrunched in much closer.

“There is a lot of unexplored real estate in Kepler-90 system and it would almost be surprising if there were not more planets in the system.”




The planet Kepler-90i, is a small rocky planet, which orbits so close to its star that the surface temperature is a ‘scorchingly hot’ 800F (426C). It orbits its own sun once every 14 days.

The Google team applied a neural network to scan weak signals discovered by the Kepler exoplanet-hunting telescope which had been missed by humans.

Kepler has already discovered more than 2,500 exoplanets and 1,000 more which are suspected.

The telescope spent four years scanning 150,000 stars looking for dips in their brightness which might suggest an orbiting planet was passing in front.

Although the observation mission ended in 2013, the spacecraft recorded so much data during its four year mission that scientists expect will be crunching the data for many years to come.

The new planet Kepler-90i is about 30 per cent larger than Earth and very hot.

Christopher Shallue, senior software engineer at Google AI in Mountain View, California, who made the discovery, said the algorithm was so simple that it only took two hours to train to spot exoplanets.

Test of the neural network correctly identified true planets and false positives 96 percent of the time. They have promised to release all of the code so that amateurs can train computers to hunt for their own exoplanets.

Machine learning will become increasingly important for keeping pace with all this data and will help us make more discoveries than ever before,” said Mr Shallue.

This is really exciting discovery and a successful proof of concept in using neural networks to find planets even in challenging situations where signals are very weak.

We plan to search all 150,000 stars, we hope using our technique we will be able to find lots of planets including planets like Earth.”

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Google’s AI Found An Overlooked Exoplanet

NASA has discovered an eighth planet around a distant star, which means we’re no longer the largest solar system we know of.

The discovery was made thanks to some artificial intelligence help from Google, which found the planet by scouring previously overlooked “weak” signals in data captured by the Kepler Space Telescope.

The newly found planet is located in the solar system around Kepler-90, a star about 2,500 light-years away from Earth that was previously discovered in 2014.

The Kepler Space Telescope has been searching the galactic sky for exoplanets, or planets outside our own Solar System, since it launched in 2009.

In order to sift through all the data that it’s captured since that launch, scientists usually look at the strongest signals first.




And that process has worked well enough so far. NASA has confirmed 2,525 exoplanets in that time, a number that has changed our understanding of how common it is to find planets around the stars that make up our galaxy.

Recently, though, artificial intelligence has become a more prominent tool in astronomy.

Scientists, including ones who work on the Kepler data, have increasingly turned to machine learning to help sort through typically lower-priority data to see what they might have missed.

In the process, they found an overlooked planet that’s now named Kepler-90i.

But while we now know that Kepler-90 has the same number of orbiting planets as our Sun, the solar system is a poor candidate in the search for extraterrestrial life or at least, life as we know it.

Kepler-90 is about 20 percent bigger and 5 percent warmer than our Sun. And its eight planets dance around the star in much closer orbits than the ones in our own Solar System.

In fact, their orbits are so comparatively small that seven of Kepler-90’s eight planets would fit in between the Earth and the Sun.

The discovery of Kepler-90i, came after NASA let Google train its machine learning algorithms on 15,000 signals from potential planets in the Kepler database.

The scientists then took the trained system and set it to work on data from 670 stars that were already known to have multiple planets, as they considered those to be the most likely hiding places.

The newly discovered planet in Kepler-90, along with one other found in the Kepler-80 solar system announced today, are the first NASA was able to confirm from these new results from Google’s AI.

The inclusion of machine learning in this process shouldn’t scare humans whose livelihood revolves around discovering and studying exoplanets, according to Chris Shallue, a senior Google AI software engineer who worked on the project.

What we’ve developed here is a tool to help astronomers have more impact,” Shallue said on a conference call about the news.

It’s a way to increase the productivity of astronomers. It certainly won’t replace them at all.

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