Discover more than 300 exoplanets in deep space thanks to a modern algorithm!


NASA said 301 additional exoplanets have been confirmed, thanks to a new deep learning algorithm.

The important addition is made possible by the ExoMiner deep neural network, which was built using data from NASA’s Kepler spacecraft and its follower K2.

It uses the space agency’s supercomputer, the Pleiades, which is capable of deciphering the difference between real exoplanets and “false positives”.

The newly confirmed planets, which orbit distant stars in the universe, bring the total number of confirmed exoplanets to 4,870.

And unlike other machine learning programs for detecting exoplanets, ExoMiner is not a black box — there is no mystery about why it has decided something is a planet or not, said one of the study’s authors, John Jenkins, an exoplanet scientist at the Ames Research Center. for NASA in statment.

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There is little difference between a “confirmed” and “verified” exoplanet, as NASA notes: Exoplanets are “confirmed” when various observational techniques highlight features that are only visible by planets; They are “validated” when using statistics.

In the study, ExoMiner used datasets from the Kepler archive to discover 301 planets from a much larger group of candidates.

It has been validated by the Kepler Science Operations Center line, and has been promoted to Planet Candidate status by the Kepler Science office.

Newly published research shows that a neural network is more consistent and accurate when it eliminates false positives from scientists.

It also gives researchers additional details about why ExoMiner made the decision it made.

ExoMiner is highly accurate and in some ways more reliable than both current machine classifiers and the human experts it’s supposed to emulate due to the biases that come with human labels.

NASA notes that of the 301 exoplanets added to the ever-growing list, none are believed to be “Earth-like or in the habitable zone of their parent stars”, but some do share certain characteristics of other near-Earth exoplanets.

The research was recently published in the Astrophysical Journal.

Source: Daily Mail


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