JAKARTA – Over 300 exoplanet NASA scientists have uncovered from a catalog of defunct telescopes, Kepler Space Telescope.
Kepler Space Telescope is the first telescope made by NASA to work to hunt for planets. 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 Astrophysical Journal.
In the catalog of potential planets that the Kepler telescope has compiled, it continues to produce new discoveries even after the telescope dies. Scientists analyze data for signs exoplanet. However, a new algorithm called ExoMiner can now emulate that procedure and browse the catalog more quickly and efficiently.
Quotes Soace, Monday, November 29, the telescope, known to have stopped working in November 2018, is looking for a decrease in star brightness that may be caused by a planet passing in front of the stellar disk, as 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 of service, the telescope was able to find thousands of planet candidates, nearly 3,000 of which have been confirmed. That is the bulk of the total 4,569 exoplanets known today.
For each candidate exoplanet, scientists studying Kepler data will look at the light curve and calculate how much of the star the planet appears to be covering.
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,” emphasized Hamed Valizadegan, project leader ExoMiner.
“ExoMiner very accurate and in some ways more reliable than existing machine classifiers and human experts that are meant to be imitated due to the biases that come with human labeling.”
Now ExoMiner proving his skills, scientists want to use them to help sift through data from existing and future exoplanet-search missions, such as Transiting Exoplanet Survey Satellite (TESS) current NASA or Planetary Transits and Oscillations of Stars from the European Space Agency (PLATO), a mission to be launched in 2026.
Unfortunately, none of the exoplanet the newly confirmed ones are likely candidates to host life, because they are outside the habitable zone of their parent star.
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