Distribution Inference for Physical and Orbital Properties of Jupiter’s Moons

Abstract EN

According to the physical and orbital characteristics in Carme group, Ananke group, and Pasiphae group of Jupiter’s moons, the distributions of physical and orbital properties in these three groups are investigated by using one-sample Kolmogorov–Smirnov nonparametric test.

Eight key characteristics of the moons are found to mainly obey the Birnbaum–Saunders distribution, logistic distribution, Weibull distribution, and t location-scale distribution.

Furthermore, for the moons’ physical and orbital properties, the probability density curves of data distributions are generated; the differences of three groups are also demonstrated.

Based on the inferred results, one can predict some physical or orbital features of moons with missing data or even new possible moons within a reasonable range.

In order to better explain the feasibility of the theory, a specific example is illustrated.

Therefore, it is helpful to predict some of the properties of Jupiter’s moons that have not yet been discovered with the obtained theoretical distribution inference.