VizieR Online Data Catalog: Data for ~550 exoplanets using a neural network (Tasker+, 2020)

The neural network employed is a modified Boltzmann machine generative model (Ackley+ 1985, Cognitive Science 9 147; Chen & Murray 2003, IEE Proceedings-Vision, Image and Signal Processing 150 153). The network learns the joint distribution of available exoplanet properties in order to generate new data points that lie within the same distribution. The properties chosen comprise six observables: planet mass, planet radius, orbital period, stellar mass, equilibrium temperature, and the number of known planets in the system. Our data was taken from the NASA exoplanet archive. To ensure the largest possible data set, missing values of our six planet properties in the confirmed planet record on the exoplanet archive were compared with the associated Kepler Object of Interest entry where available, and that value used if present.

(1 data file).