Author
Abstract
More than 2600 exoplanets have been confirmed thanks to the Kepler spacecraft that NASA sent in 2009. The confirmed exoplanets are classified by their parent stars. In this study, it is aimed to determine which properties of the exoplanets, which are classified by their main stellar properties, differ according to their classes and for which classes these properties differ. In addition, finding differential factors for the use of an alternative method instead of classification according to the main star features is another purpose of the study.. In the study, 2275 exoplanets in F, G, K, M classes and the star class belonging to these exoplanets, their orbital period, transit epoch, impact parameter, transit duration (hour), transit depth (million diameter), planetary radius (planet radius / earth radius), equilibrium temperature (kelvin), insolation flux (earth flux), transit signal-to-noise, stellar effective temperature, stellar surface gravity, stellar radius (stellar radius / earth radius), right ascention, declination and kepler band values were used. The Kruskal-Wallis analysis, was used to find distinctive features in the study, it has been determined that there is a statistically significant difference in at least one of the star classes for the variables of transit epoch, transit duration (hour), transit depth (millionth diameter), planetary radius (earth radius), equilibrium temperature (kelvin), insolation flux (earth flux ), transit signal-to-noise, stellar effective temperature, stellar surface gravity, stellar radius (earth radius) and kepler band. A statistically significant difference was found among all class groups in the variables of transit depth, equilibrium temperature, insolation flow, stellar temperature, stellar surface gravity and stellar radius. The specified variables can be used as distinguishing features in the classification of exoplanets.
Suggested Citation
Ünal Halit ÖZDEN & Kubilay ERİŞLİK, 2021.
"Determining The Differences Of Exoplanets According To Their Classes By Kruskal Wallis Method,"
Eurasian Eononometrics, Statistics and Emprical Economics Journal, Eurasian Academy Of Sciences, vol. 18(18), pages 100-113, February.
Handle:
RePEc:eas:econst:v:18:y:2021:i:18:p:100-113
DOI: 10.17740/eas.stat.2021-V18-07
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