Artificial intelligence discovers 50 new planets from old NASA data

Planetary data has become so vast; it is impossible now for humans to sit through everything and find out nothing has been missed. The advancement in space telescope technology has led to unimaginable amounts of data that, without computer intelligence, cannot be analyzed thoroughly.

A team of UK researchers led by David Armstrong at the University of Warwick have developed a machine-learning algorithm that can handle the confirmation of new planets in the bounds of data that has been stored over time. This new tool can help astronomers sift through chunks of data, old and new, finding planets and other discoveries that were previously missed.

The machine-learning algorithm uses data from telescopes like NASA’s TESS (Transiting Exoplanet Survey Satellite) to look for dips in brightness that indicates something is passing by a star. This method is used to find planets that are hidden, rogue, or just aren’t properly illuminated by a star. The dips in brightness indicate that something is passing by a star, indicating a large mass. This dip could indicate a planet, asteroid, dust, or it could even be a glitch.

The team used data from NASA’s now-retired Kepler mission. The data, including new planets and false positives, was then used to train a machine-learning algorithm. That algorithm was then used on group data, including unconfirmed planetary bodies, where the system identified 50 planets.

Read Also: NASA still investigating space station air leak after last week’s evacuation of its segment

In a Warwick press release on Tuesday, Armstrong says: “The algorithm we have developed lets us take 50 candidates across the threshold for planet validation, upgrading them to real planets. Rather than saying which candidates are more likely to be planets, we can now say what the precise statistical likelihood is. Where there is less than a 1% chance of a candidate being a false positive, it is considered a validated planet.”

Artificial intelligence has a lot of scope in identifying missed planetary bodies from existing data. The algorithm can simply be applied to planetary candidates, reducing the pure manual searching that was required before. The TESS mission alone has found 66 new exoplanets and more than 2,100 planetary candidates.

“We still have to spend time training the algorithm, but once that is done, it becomes much easier to apply it to future candidates,” Armstrong said. “You can also incorporate new discoveries to progressively improve it.”

Do you want to publish on Apple News, Google News, and more? Join our writing community, improve your writing skills, and be read by hundreds of thousands around the world!

Source: Cnet

More from Space – News Landed

+ NASA still investigating space station air leak after last week’s evacuation of its segment
+ There may be billions of ‘rogue’ drifting planets, not bound to any stars

Popular Stories – News Landed

+ Carole Baskin from ‘Tiger King’ in talks to join ‘Dancing with the Stars’
+ White House announces 12 new AI and quantum research institutes

Related Stories

Ancient Umayyad lamps and bulbs discovered in Jerusalem

Ancient Islamic lamps and bulbs dating back to the early Islamic era from the seventh and eleventh centuries AD...

Discovery of Egyptian gold coins in Jerusalem

In the suburbs of occupied Jerusalem, while some workers were digging to install a new elevator, they found a...

Featured Stories

Low-cost lead adsorbing water filter designed by Indian students

Two students from India have designed a low-cost lead water filter that can be made with locally sourced materials....

Make it Rain! Dubai uses drones to conjure rain from the skies

You can order food, hail a driver, and even find a spouse with the click of a button; but...

Physicists have created the world’s thinnest magnet. Just one atom thick!

Can you guess the size of the thinnest magnet? It is just one atom thick. Scientists from the University of...

Boris Johnson and Rishi Sunak reverse decision to avoid self-isolation following ping by NHS contact tracing

Following the Health Secretary's diagnosis with COVID-19, the Prime Minister and Chancellor were notified by NHS Test and Trace...

India is one of the largest producers of COVID vaccine and yet faces major internal shortages

The worsening situation in India finally gained some stabilization around September 2020. Usually, when things start getting better, people...

The US supports easing patent rules on Covid-19 after intense internal debate…

Since the coming of the pandemic, there has been a lot of debates and questions around the Covid-19 vaccines....