Deep learning classification in asteroseismology using an improved neural network: results on 15,000 Kepler red giants and applications to K2 and TESS data
Published in Monthly Notices of the Royal Astronomical Society, 2018
Recommended citation: Hon, M.; Stello, D.; Yu, J..“Deep learning classification in asteroseismology using an improved neural network: result on 15000 Kepler red giants and applications to K2 and TESS data”, 2018, MNRAS, 476, 3233.
This work extends the red giant evolutionary state convolutional network towards K2- and TESS-like datasets, showing that high levels of accuracy can still being achieved for shorter observational data. The evolutionary states of around 15,000 Kepler red giants are additionally classified, doubling the number of red giants that given this analysis.