Revising the Wilson-Bappu Effect Using Python to represent the distance in the Universe

Abstract

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Determining distances of stars involves careful measurements of stellar quantities based on the methodology used to measure. There are many stellar objects in our universe the stars near our planet earth and late-type stars that possess the Ca II K emission line in their spectra. This paper presents two methods that are most learnt and practiced. First, the parallax method; that helps measure distances between stars that are nearer to the planet from which we measure the distance over a period of time. (from planet Earth). Although this method does not work for late type stars; the stars that are much farther away from the Earth. Hence, we analyzed the Wilson Bappu Effect and the Wilson Bappu formula and method that includes the quantified value of the brightness of stars by analyzing its emission band. That is essential to represent the starts distances in our universe. This paper entails the methodology of the Wilson Bappu Effect proving to be more effective for calculations and measuring distances of Stars and attempts to represent the data using simple libraries from Python; including, NumPy, Matplotlib, SciKit-Learn, and SciPy. This paper aims to reduce complexity of generating the representation of the data generated by the formulas based on the Wilson Bappu Effect.