{"title":"The Exoplanets Catalogues and Archives: An Astrostatistical Analysis","authors":"A. Abushattal, A. Kraishan, O. S. Alshamaseen","doi":"10.52526/25792776-22.69.2-235","DOIUrl":null,"url":null,"abstract":"The discovery of more than 5000 exoplanets based on several methods will improve our understanding of the formation and evolution of the exoplanets. Due to the dramatically increases in the amount of the astronomical data in recent decades. Which can be analyzed statistically to extract scientific information and test astrophysical theories. This information is valuable to figure out if there is a life somewhere else on the universe. This work presents a statistical analysis of all these exoplanets based on three primary data sources: NASA Exoplanet Archive, Open Exoplanet Catalogue, and Exoplanet.eu catalogue. Moreover, several parameters are examined, including mass, radius, discovery method, distance, orbital period, and discovery year. As part of our analysis, we have also clarified and summarized the data in the form of graphs based on astrophysical correlations.","PeriodicalId":412578,"journal":{"name":"Communications of the Byurakan Astrophysical Observatory","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications of the Byurakan Astrophysical Observatory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52526/25792776-22.69.2-235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The discovery of more than 5000 exoplanets based on several methods will improve our understanding of the formation and evolution of the exoplanets. Due to the dramatically increases in the amount of the astronomical data in recent decades. Which can be analyzed statistically to extract scientific information and test astrophysical theories. This information is valuable to figure out if there is a life somewhere else on the universe. This work presents a statistical analysis of all these exoplanets based on three primary data sources: NASA Exoplanet Archive, Open Exoplanet Catalogue, and Exoplanet.eu catalogue. Moreover, several parameters are examined, including mass, radius, discovery method, distance, orbital period, and discovery year. As part of our analysis, we have also clarified and summarized the data in the form of graphs based on astrophysical correlations.