JAKARTA – More than 300 exoplanet NASA scientists have discovered from a catalog of dead telescopes, Kepler Space Telescope.
Kepler Space Telescope is the first telescope made by NASA to work on planet hunting. He has observed hundreds of thousands of stars in the search for potentially habitable worlds outside the Solar System.
Although the telescope is no longer working, a new artificial intelligence algorithm has found more than 300 exoplanet previously unknown in the data collected by the telescope. This research has been published in Journal of Astrophysics.
In the catalog of potential planets that the Kepler telescope has compiled, it continues to make new discoveries even after the telescope dies. Scientists analyze data for signs exoplanet. However, a new algorithm called ExoMiner can now emulate those procedures and browse the catalog more quickly and efficiently.
Quote according to, Monday, November 29, the telescope, which is known to have stopped working in November 2018, looks for a decrease in stellar brightness that may be caused by a planet passing in front of the stellar disk, seen from Kepler’s perspective.
But not all such a decrease in brightness is caused by exoplanet, and scientists have to follow a complicated procedure to distinguish false positive signals from real ones.
ExoMiner is a so-called neural network, a type of artificial intelligence algorithm that can learn and improve its capabilities when entering a sufficient amount of data. And Kepler generates a lot of data.
In just under 10 years, the telescope was able to find thousands of planet candidates, nearly 3,000 of which have been confirmed. That’s most of the 4,569 exoplanets known today.
For each candidate exoplanet, scientists studying Kepler data will look at the light curve and calculate how many stars appear to cover the planet.
They will also analyze how long it takes the would-be planet to cross the stellar disk. In some cases, the observed brightness changes are unlikely to be explained by the orbiting exoplanet.
algorithm ExoMiner following exactly the same but more efficient process, which allowed scientists to add 301 exoplanet previously unknown into Kepler’s planetary catalog at once.
“When ExoMiner say something is a planet, you can be sure it’s a planet, “said Hamed Valizadegan, project leader ExoMiner.
“ExoMiner highly accurate and in some ways more reliable than existing machine classifiers and human experts that are meant to be imitated due to the bias that comes with human labeling.”
Now ExoMiner proving their skills, scientists want to use them to help sift through data from existing and future exoplanet-search missions, such as Satelit Survei Transit Exoplanet (TESS) current NASA or Planetary Transits and Star Oscillations from the European Space Agency (PLATO), a mission to be launched in 2026.
Unfortunately, none of the exoplanet the newly confirmed ones may be potential homes for life, because they are outside the habitable zone of their parent star.