McDonald Observatory | University of Texas | 2019 Mar 26
Astronomers at The University of Texas at Austin, in partnership with Google, have used artificial intelligence (AI) to uncover two more hidden planets in the Kepler space telescope archive. The technique shows promise for identifying many additional planets that traditional methods could not catch.
The planets discovered this time were from Kepler’s extended mission, called K2.
To find them, the team, led by an undergraduate at UT Austin, Anne Dattilo, created an algorithm that sifts through the data taken by Kepler to ferret out signals that were missed by traditional planet-hunting methods. Long term, the process should help astronomers find many more missed planets hiding in Kepler data.
Identifying Exoplanets with Deep Learning II: Two New Super-Earths
Uncovered by a Neural Network in K2 Data ~ Anne Dattilo et al
- arXiv.org > astro-ph > arXiv:1903.10507 > 25 Mar 2019
